Head-to-head comparison

GPT-6 Astra vs. Gemini 3.5 Flash

Compare published benchmark results from matching versions and cohorts, API pricing, and technical specifications. Any documented test setup differences remain visible.

shared result series: 243
distinct benchmark metrics: 31
latest retrieval: 2026-10-19

First modelSecond model

Specifications

General specifications

Release date, availability, context window, architecture, and published parameter counts at a glance. Undisclosed details remain marked as unavailable.

Specifications for GPT-6 Astra and Gemini 3.5 Flash
Attribute	GPT-6 Astra	Gemini 3.5 Flash
Provider	OpenAI	Google
Released	Sep 3, 2026	May 19, 2026
Availability	Limited access	Active
Model type	Proprietary	Proprietary
Parameters	Not published	Not published
Architecture	Not published	Not published
Context window	1,050,000 tokens	1,048,576 tokens
Knowledge cutoff	April 30, 2026	Not published
Technical sources	Model, Context	Model

Pricing

API pricing compared

The table compares official standard API rates per 1M tokens, including published cache pricing. Batch, fast, priority, regional surcharges, tool calls, and cloud platform pricing are excluded.

API pricing for GPT-6 Astra and Gemini 3.5 Flash
Price type	GPT-6 Astra	Gemini 3.5 Flash
API input	$10 ≤272K / $20 >272K	$1.5
API output	$50 ≤272K / $75 >272K	$9
Cache read	$1 ≤272K / $2 >272K	$0.15
Cache write (5 min.)	$12.5 ≤272K / $25 >272K	Not listed
Cache write (1 hr.)	Not listed	Not listed
Price verified	09/22/2026 Source	09/22/2026 Source

GPT-6 AstraGemini 3.5 Flash

API inputUSD per 1M tokens, base tier

GPT-6 Astra$10

Gemini 3.5 Flash$1.5

API outputUSD per 1M tokens, base tier

GPT-6 Astra$50

Gemini 3.5 Flash$9

Cache readUSD per 1M tokens, base tier

GPT-6 Astra$1

Gemini 3.5 Flash$0.15

Key to the marks:better valuebetter, but not conclusivetie

Pricing by provider

Direct developer pricing and provider endpoint tariffs routed through OpenRouter are listed separately. Prices are in USD per 1M tokens. Context-dependent direct tiers plus regional, Flex, Priority, and other OpenRouter tariffs remain individually identifiable.

Provider pricing for GPT-6 Astra and Gemini 3.5 Flash
Model	Provider	Purchase route and tariff	Input per 1M tokens	Output per 1M tokens	Source
GPT-6 Astra	OpenAI	Direct from developerUp to 272,000 context tokens	$10	$50	Source09/22/2026
	OpenAI	Direct from developerAbove 272,000 context tokens	$20	$75	Source09/22/2026
	Amazon Bedrock	Via OpenRouteramazon-bedrock/us-west-2	$11	$55	Source10/19/2026
	Azure	Via OpenRouterazure	$10	$50	Source10/19/2026
	Azure	Via OpenRouterazure/us	$11	$55	Source10/19/2026
	OpenAI	Via OpenRouteropenai	$10	$50	Source10/19/2026
	OpenAI	Via OpenRouteropenai/fast	$20	$100	Source10/19/2026
	OpenAI	Via OpenRouteropenai/flex	Lowest listed price: $5	Lowest listed price: $25	Source10/19/2026
	OpenAI	Via OpenRouteropenai/ultrafast	$60	$300	Source10/19/2026
Gemini 3.5 Flash	Google	Direct from developerStandard API	$1.5	$9	Source09/22/2026
	Google	Via OpenRoutergoogle-vertex/global	$1.5	$9	Source10/19/2026
	Google	Via OpenRoutergoogle-vertex/global/flex	Lowest listed price: $0.75	Lowest listed price: $4.5	Source10/19/2026
	Google	Via OpenRoutergoogle-vertex/global/priority	$2.7	$16.2	Source10/19/2026
	Google	Via OpenRoutergoogle-vertex/us	$1.65	$9.9	Source10/19/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio	$1.5	$9	Source10/19/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio/flex	Lowest listed price: $0.75	Lowest listed price: $4.5	Source10/19/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio/priority	$2.7	$16.2	Source10/19/2026

Performance

Shared benchmarks

Only published results with the same benchmark version, task, metric, and comparison cohort are paired. Different reasoning levels, agents, harnesses, or output limits appear directly in the table.

Capability profile from matched benchmarks

Each axis averages directly matched benchmark families. A value of 100 means the stronger value within this pair, not a universal quality score.

GPT-6 Astra

Gemini 3.5 Flash

Coding: 100 / 12.1 (1 benchmark family)

Reasoning: 100 / 78.7 (3 benchmark families)

Knowledge: 100 / 72.8 (1 benchmark family)

Agentic tasks: 100 / 66.7 (3 benchmark families)

Multimodal: 100 / 98 (1 benchmark family)

Overall: 100 / 64 (1 benchmark family)

15 matched rows from 10 benchmark families were considered. The radar shows 6 of 6 comparable categories.

GPT-6 AstraGemini 3.5 Flash

AA-BriefcaseOverall. Higher is better. No documented setup difference

GPT-6 Astra1,505.91 elo

Gemini 3.5 Flash874.32 elo

AA-LCROverall. Higher is better. No documented setup difference

GPT-6 Astra80.0%

Gemini 3.5 Flash73.3%

AA-OmniscienceOverall. Higher is better. No documented setup difference

GPT-6 Astra43.733 points

Gemini 3.5 Flash21.183 points

AA-Omniscience AccuracyOverall. Higher is better. No documented setup difference

GPT-6 Astra61.1%

Gemini 3.5 Flash51.4%

AA-Omniscience Hallucination RateOverall. Lower is better. No documented setup difference

GPT-6 Astra44.8%

Gemini 3.5 Flash62.2%

Artificial Analysis Intelligence IndexOverall. Higher is better. No documented setup difference

GPT-6 Astra50.919 points

Gemini 3.5 Flash32.598 points

AutomationBench-AAOverall. Higher is better. No documented setup difference

GPT-6 Astra66.6%

Gemini 3.5 Flash42.1%

Code MigrationOverall. Higher is better. Test setup not documented as identical

GPT-6 Astra67.74 %

Gemini 3.5 Flash26.745 %

EMBOverall. Higher is better. Test setup not documented as identical

GPT-6 Astra71.7 %

Gemini 3.5 Flash63.548 %

Finance Agent (v2)Overall. Higher is better. Test setup not documented as identical

GPT-6 Astra53.54 %

Gemini 3.5 Flash57.861 %

GDP.pdfOverall. Higher is better. No documented setup difference

GPT-6 Astra31.0%

Gemini 3.5 Flash19.8%

GDPval-AAOverall. Higher is better. No documented setup difference

GPT-6 Astra1,522.92 elo

Gemini 3.5 Flash1,202.58 elo

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for GPT-6 Astra and Gemini 3.5 Flash
Benchmark and task	GPT-6 Astra	Gemini 3.5 Flash	Source
AA-BriefcaseOverall Test details No documented difference in the test setupVersion: v1.1Metric: AA-Briefcase EloScoring: Higher is betterGPT-6 Astra: Snapshot: GPT-6 Astra (High), Reasoning: High Gemini 3.5 Flash: Snapshot: Gemini 3.5 Flash (High), Reasoning: HighGPT-6 Astra: Exact AA configuration: GPT-6 Astra (High) (release gpt-6-astra, row gpt-6-astra-high, UUID e05a4828-0536-4876-870d-a235023f992b, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption.Gemini 3.5 Flash: Exact AA configuration: Gemini 3.5 Flash (High) (release gemini-3-5-flash, row gemini-3-5-flash, UUID 0097ebf5-124f-42f6-9463-33b00e711f03, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption.	Winner1,505.91 elo	874.32 elo	Artificial Analysis Source details Data as of: 10/19/2026
AA-LCROverall Test details No documented difference in the test setupVersion: v1.1Metric: Pass rateScoring: Higher is betterGPT-6 Astra: Snapshot: GPT-6 Astra (High), Reasoning: High Gemini 3.5 Flash: Snapshot: Gemini 3.5 Flash (High), Reasoning: HighGPT-6 Astra: Exact AA configuration: GPT-6 Astra (High) (release gpt-6-astra, row gpt-6-astra-high, UUID e05a4828-0536-4876-870d-a235023f992b, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption.Gemini 3.5 Flash: Exact AA configuration: Gemini 3.5 Flash (High) (release gemini-3-5-flash, row gemini-3-5-flash, UUID 0097ebf5-124f-42f6-9463-33b00e711f03, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption.	Winner80.0%	73.3%	Artificial Analysis Source details Data as of: 10/19/2026
AA-OmniscienceOverall Test details No documented difference in the test setupVersion: unspecifiedMetric: AA-Omniscience IndexScoring: Higher is betterGPT-6 Astra: Snapshot: GPT-6 Astra (High), Reasoning: High Gemini 3.5 Flash: Snapshot: Gemini 3.5 Flash (High), Reasoning: HighGPT-6 Astra: Exact AA configuration: GPT-6 Astra (High) (release gpt-6-astra, row gpt-6-astra-high, UUID e05a4828-0536-4876-870d-a235023f992b, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption.Gemini 3.5 Flash: Exact AA configuration: Gemini 3.5 Flash (High) (release gemini-3-5-flash, row gemini-3-5-flash, UUID 0097ebf5-124f-42f6-9463-33b00e711f03, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption.	Winner43.733 points The index can be negative and ranges from -100 to 100 according to Artificial Analysis.	21.183 points The index can be negative and ranges from -100 to 100 according to Artificial Analysis.	Artificial Analysis Source details Data as of: 10/19/2026
AA-Omniscience AccuracyOverall Test details No documented difference in the test setupVersion: AA Omniscience diagnosticMetric: AA-Omniscience AccuracyScoring: Higher is betterGPT-6 Astra: Snapshot: GPT-6 Astra (High), Reasoning: High, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard Gemini 3.5 Flash: Snapshot: Gemini 3.5 Flash (High), Reasoning: High, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboardGPT-6 Astra: Exact AA configuration: GPT-6 Astra (High) (release gpt-6-astra, row gpt-6-astra-high, UUID e05a4828-0536-4876-870d-a235023f992b, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption. Proportion of all questions answered correctly, regardless of whether the model answers or abstains on other questions.Gemini 3.5 Flash: Exact AA configuration: Gemini 3.5 Flash (High) (release gemini-3-5-flash, row gemini-3-5-flash, UUID 0097ebf5-124f-42f6-9463-33b00e711f03, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption. Proportion of all questions answered correctly, regardless of whether the model answers or abstains on other questions.	Winner61.1% This is the separately published accuracy diagnostic, not the AA-Omniscience Index. AA identifies higher values as better.	51.4% This is the separately published accuracy diagnostic, not the AA-Omniscience Index. AA identifies higher values as better.	Artificial Analysis Source details Data as of: 10/19/2026
AA-Omniscience Hallucination RateOverall Test details No documented difference in the test setupVersion: AA Omniscience diagnosticMetric: AA-Omniscience Hallucination RateScoring: Lower is betterGPT-6 Astra: Snapshot: GPT-6 Astra (High), Reasoning: High, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard Gemini 3.5 Flash: Snapshot: Gemini 3.5 Flash (High), Reasoning: High, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboardGPT-6 Astra: Exact AA configuration: GPT-6 Astra (High) (release gpt-6-astra, row gpt-6-astra-high, UUID e05a4828-0536-4876-870d-a235023f992b, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption. Proportion of incorrect answers among all non-correct responses: incorrect / (incorrect + partial answers + not attempted).Gemini 3.5 Flash: Exact AA configuration: Gemini 3.5 Flash (High) (release gemini-3-5-flash, row gemini-3-5-flash, UUID 0097ebf5-124f-42f6-9463-33b00e711f03, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption. Proportion of incorrect answers among all non-correct responses: incorrect / (incorrect + partial answers + not attempted).	Winner44.8% This is the separately published hallucination-rate diagnostic, not the AA-Omniscience Index. AA identifies lower values as better.	62.2% This is the separately published hallucination-rate diagnostic, not the AA-Omniscience Index. AA identifies lower values as better.	Artificial Analysis Source details Data as of: 10/19/2026
Artificial Analysis Intelligence IndexOverall Test details No documented difference in the test setupVersion: v4.3.2Metric: Artificial Analysis Intelligence IndexScoring: Higher is betterGPT-6 Astra: Snapshot: GPT-6 Astra (High), Reasoning: High Gemini 3.5 Flash: Snapshot: Gemini 3.5 Flash (High), Reasoning: HighGPT-6 Astra: Exact AA configuration: GPT-6 Astra (High) (release gpt-6-astra, row gpt-6-astra-high, UUID e05a4828-0536-4876-870d-a235023f992b, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption.Gemini 3.5 Flash: Exact AA configuration: Gemini 3.5 Flash (High) (release gemini-3-5-flash, row gemini-3-5-flash, UUID 0097ebf5-124f-42f6-9463-33b00e711f03, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption.	Winner50.919 points	32.598 points	Artificial Analysis Source details Data as of: 10/19/2026
AutomationBench-AAOverall Test details No documented difference in the test setupVersion: unspecifiedMetric: Objectives completed without guardrail violationsScoring: Higher is betterGPT-6 Astra: Snapshot: GPT-6 Astra (High), Reasoning: High Gemini 3.5 Flash: Snapshot: Gemini 3.5 Flash (High), Reasoning: HighGPT-6 Astra: Exact AA configuration: GPT-6 Astra (High) (release gpt-6-astra, row gpt-6-astra-high, UUID e05a4828-0536-4876-870d-a235023f992b, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption.Gemini 3.5 Flash: Exact AA configuration: Gemini 3.5 Flash (High) (release gemini-3-5-flash, row gemini-3-5-flash, UUID 0097ebf5-124f-42f6-9463-33b00e711f03, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption.	Winner66.6%	42.1%	Artificial Analysis Source details Data as of: 10/19/2026
Code MigrationOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value67.74 %	26.745 %	Vals AI Source details Data as of: 10/12/2026
EMBOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value71.7 %	63.548 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)Overall Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	53.54 %	Higher measured value57.861 %	Vals AI Source details Data as of: 10/12/2026
GDP.pdfOverall Test details No documented difference in the test setupVersion: unspecifiedMetric: All-pass rateScoring: Higher is betterGPT-6 Astra: Snapshot: GPT-6 Astra (High), Reasoning: High Gemini 3.5 Flash: Snapshot: Gemini 3.5 Flash (High), Reasoning: HighGPT-6 Astra: Exact AA configuration: GPT-6 Astra (High) (release gpt-6-astra, row gpt-6-astra-high, UUID e05a4828-0536-4876-870d-a235023f992b, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption.Gemini 3.5 Flash: Exact AA configuration: Gemini 3.5 Flash (High) (release gemini-3-5-flash, row gemini-3-5-flash, UUID 0097ebf5-124f-42f6-9463-33b00e711f03, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption.	Winner31.0%	19.8%	Artificial Analysis Source details Data as of: 10/19/2026
GDPval-AAOverall Test details No documented difference in the test setupVersion: v2.1Metric: GDPval-AA EloScoring: Higher is betterGPT-6 Astra: Snapshot: GPT-6 Astra (High), Reasoning: High Gemini 3.5 Flash: Snapshot: Gemini 3.5 Flash (High), Reasoning: HighGPT-6 Astra: Exact AA configuration: GPT-6 Astra (High) (release gpt-6-astra, row gpt-6-astra-high, UUID e05a4828-0536-4876-870d-a235023f992b, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption.Gemini 3.5 Flash: Exact AA configuration: Gemini 3.5 Flash (High) (release gemini-3-5-flash, row gemini-3-5-flash, UUID 0097ebf5-124f-42f6-9463-33b00e711f03, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption.	Winner1,522.92 elo	1,202.58 elo	Artificial Analysis Source details Data as of: 10/19/2026
Harvey's Legal Agent BenchmarkOverall · Task fully resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value5.417 %	2.5 %	Vals AI Source details Data as of: 10/12/2026
Humanity's Last ExamOverall Test details No documented difference in the test setupVersion: unspecifiedMetric: Text-only pass@1 accuracyScoring: Higher is betterGPT-6 Astra: Snapshot: GPT-6 Astra (High), Reasoning: High Gemini 3.5 Flash: Snapshot: Gemini 3.5 Flash (High), Reasoning: HighGPT-6 Astra: Exact AA configuration: GPT-6 Astra (High) (release gpt-6-astra, row gpt-6-astra-high, UUID e05a4828-0536-4876-870d-a235023f992b, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption.Gemini 3.5 Flash: Exact AA configuration: Gemini 3.5 Flash (High) (release gemini-3-5-flash, row gemini-3-5-flash, UUID 0097ebf5-124f-42f6-9463-33b00e711f03, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption.	Winner53.1% Artificial Analysis describes this comparable run as 2,158 text-only questions, not the full 2,500-question dataset.	42.7% Artificial Analysis describes this comparable run as 2,158 text-only questions, not the full 2,500-question dataset.	Artificial Analysis Source details Data as of: 10/19/2026
Legal Research BenchOverall · All-pass Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value39.423 %	30.769 %	Vals AI Source details Data as of: 10/12/2026
LMArena Code Arena WebDevOverall Test details Test setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterGPT-6 Astra: Snapshot: gpt-6-astra-max, Reasoning: max, Harness: Arena Code Arena WebDev Gemini 3.5 Flash: Snapshot: gemini-3.5-flash-high, Reasoning: high, Harness: Arena Code Arena WebDevGPT-6 Astra: Arena rating from 5,746 published pairwise votes.Gemini 3.5 Flash: Arena rating from 9,415 published pairwise votes.	Higher measured value1,780.244 95% confidence interval: ±10.541The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,499.426 95% confidence interval: ±7.264The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Text, Style ControlOverall Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGPT-6 Astra: Snapshot: gpt-6-astra-max, Reasoning: max, Harness: Arena Text, style control Gemini 3.5 Flash: Snapshot: gemini-3.5-flash-high, Reasoning: high, Harness: Arena Text, style controlGPT-6 Astra: Arena rating from 11,674 published pairwise votes.Gemini 3.5 Flash: Arena rating from 48,486 published pairwise votes.	1,476.716 95% confidence interval: ±6.385The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	Higher measured value1,477.344 95% confidence interval: ±3.892The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Vision, Style ControlOverall Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGPT-6 Astra: Snapshot: gpt-6-astra-max, Reasoning: max, Harness: Arena Vision, style control Gemini 3.5 Flash: Snapshot: gemini-3.5-flash-high, Reasoning: high, Harness: Arena Vision, style controlGPT-6 Astra: Arena rating from 3,590 published pairwise votes.Gemini 3.5 Flash: Arena rating from 13,103 published pairwise votes.	Higher measured value1,285.988 95% confidence interval: ±10.782The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,283.659 95% confidence interval: ±6.995The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/09/2026
MedCodeOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens	48.486 %	Higher measured value55.825 %	Vals AI Source details Data as of: 10/13/2026
MedScribeOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens	Higher measured value87.908 %	76.574 %	Vals AI Source details Data as of: 10/13/2026
MMMU-ProOverall Test details No documented difference in the test setupVersion: AA cohort: 1,730 questionsMetric: pass@1 accuracyScoring: Higher is betterGPT-6 Astra: Snapshot: GPT-6 Astra (High), Reasoning: High, Attempts: pass@1, one run per question Gemini 3.5 Flash: Snapshot: Gemini 3.5 Flash (High), Reasoning: High, Attempts: pass@1, one run per questionGPT-6 Astra: Exact AA configuration: GPT-6 Astra (High) (release gpt-6-astra, row gpt-6-astra-high, UUID e05a4828-0536-4876-870d-a235023f992b, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption. The AA run covers 1,730 questions with ten answer options. Answers are extracted by regex and scored pass@1.Gemini 3.5 Flash: Exact AA configuration: Gemini 3.5 Flash (High) (release gemini-3-5-flash, row gemini-3-5-flash, UUID 0097ebf5-124f-42f6-9463-33b00e711f03, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption. The AA run covers 1,730 questions with ten answer options. Answers are extracted by regex and scored pass@1.	Winner86.4% The benchmark page describes 3,460 questions in the full MMMU-Pro dataset; AA's methodology specifies a 1,730-question run.	84.3% The benchmark page describes 3,460 questions in the full MMMU-Pro dataset; AA's methodology specifies a 1,730-question run.	Artificial Analysis Source details Data as of: 10/19/2026
ProgramBenchOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: fully resolved rateScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value5.5 %	0 %	Vals AI Source details Data as of: 10/12/2026
ProofBenchOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value99 %	31 %	Vals AI Source details Data as of: 10/12/2026
SAGEOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 30,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens	46.367 %	Higher measured value49.885 %	Vals AI Source details Data as of: 10/08/2026
Tax Agent BenchOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	20.717 %	Higher measured value21.652 %	Vals AI Source details Data as of: 10/12/2026
Terminal-BenchOverall Test details No documented difference in the test setupVersion: 4.0Metric: Task successScoring: Higher is betterGPT-6 Astra: Snapshot: GPT-6 Astra (High), Reasoning: High Gemini 3.5 Flash: Snapshot: Gemini 3.5 Flash (High), Reasoning: HighGPT-6 Astra: Exact AA configuration: GPT-6 Astra (High) (release gpt-6-astra, row gpt-6-astra-high, UUID e05a4828-0536-4876-870d-a235023f992b, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption.Gemini 3.5 Flash: Exact AA configuration: Gemini 3.5 Flash (High) (release gemini-3-5-flash, row gemini-3-5-flash, UUID 0097ebf5-124f-42f6-9463-33b00e711f03, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption.	Winner54.0%	6.6%	Artificial Analysis Source details Data as of: 10/19/2026
Terminal-Bench 2.1Overall Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value87.266 %	74.157 %	Vals AI Source details Data as of: 09/28/2026
Terminal-Bench 4.0Overall Test details Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value59.596 %	6.061 %	Vals AI Source details Data as of: 10/13/2026
Terminal-Bench ScienceOverall Test details Test setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Harness: Mini-SWE-agent, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 65,536 tokens	Higher measured value62.857 %	5.714 %	Vals AI Source details Data as of: 10/14/2026
Vals IndexOverall Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: weighted index scoreScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value63.125 %	44.786 %	Vals AI Source details Data as of: 10/13/2026
Vibe Code Bench v1.1Overall Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Harness: OpenHands, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Harness: OpenHands, Temperature: 1, Output limit: 65,536 tokens	Higher measured value89.594 %	48.683 %	Vals AI Source details Data as of: 10/12/2026
AA-Omniscience AccuracyOverall Test details No documented difference in the test setupVersion: AA Omniscience diagnosticMetric: AA-Omniscience AccuracyScoring: Higher is betterGPT-6 Astra: Snapshot: GPT-6 Astra (Medium), Reasoning: Medium, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard Gemini 3.5 Flash: Snapshot: Gemini 3.5 Flash (Medium), Reasoning: Medium, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboardGPT-6 Astra: Exact AA configuration: GPT-6 Astra (Medium) (release gpt-6-astra, row gpt-6-astra-medium, UUID e97a4ef5-e817-480e-9595-12f81dc4974f, reasoning=true, source reasoning-token configuration budget=0, suffix=Medium). This configured value is not measured token consumption. Proportion of all questions answered correctly, regardless of whether the model answers or abstains on other questions.Gemini 3.5 Flash: Exact AA configuration: Gemini 3.5 Flash (Medium) (release gemini-3-5-flash, row gemini-3-5-flash-medium, UUID 5016ea75-7b0e-4737-a7e6-1062c6d90fd4, reasoning=true, source reasoning-token configuration budget=0, suffix=Medium). This configured value is not measured token consumption. Proportion of all questions answered correctly, regardless of whether the model answers or abstains on other questions.	Winner60.6% This is the separately published accuracy diagnostic, not the AA-Omniscience Index. AA identifies higher values as better.	51.0% This is the separately published accuracy diagnostic, not the AA-Omniscience Index. AA identifies higher values as better.	Artificial Analysis Source details Data as of: 10/19/2026
AA-Omniscience Hallucination RateOverall Test details No documented difference in the test setupVersion: AA Omniscience diagnosticMetric: AA-Omniscience Hallucination RateScoring: Lower is betterGPT-6 Astra: Snapshot: GPT-6 Astra (Medium), Reasoning: Medium, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard Gemini 3.5 Flash: Snapshot: Gemini 3.5 Flash (Medium), Reasoning: Medium, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboardGPT-6 Astra: Exact AA configuration: GPT-6 Astra (Medium) (release gpt-6-astra, row gpt-6-astra-medium, UUID e97a4ef5-e817-480e-9595-12f81dc4974f, reasoning=true, source reasoning-token configuration budget=0, suffix=Medium). This configured value is not measured token consumption. Proportion of incorrect answers among all non-correct responses: incorrect / (incorrect + partial answers + not attempted).Gemini 3.5 Flash: Exact AA configuration: Gemini 3.5 Flash (Medium) (release gemini-3-5-flash, row gemini-3-5-flash-medium, UUID 5016ea75-7b0e-4737-a7e6-1062c6d90fd4, reasoning=true, source reasoning-token configuration budget=0, suffix=Medium). This configured value is not measured token consumption. Proportion of incorrect answers among all non-correct responses: incorrect / (incorrect + partial answers + not attempted).	Winner46.5% This is the separately published hallucination-rate diagnostic, not the AA-Omniscience Index. AA identifies lower values as better.	61.8% This is the separately published hallucination-rate diagnostic, not the AA-Omniscience Index. AA identifies lower values as better.	Artificial Analysis Source details Data as of: 10/19/2026
Code MigrationCLI Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value67.463 %	17.175 %	Vals AI Source details Data as of: 10/12/2026
EMBComps Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value77.953 %	69.788 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)Adjustments Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	48.318 %	Higher measured value54.869 %	Vals AI Source details Data as of: 10/12/2026
Harvey's Legal Agent BenchmarkAntitrust Competition · Criteria passed Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value88.768 %	84.42 %	Vals AI Source details Data as of: 10/12/2026
Legal Research BenchAdministrative / Regulatory · All-pass Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value53.03 %	43.939 %	Vals AI Source details Data as of: 10/12/2026
LMArena Code Arena WebDevOverall Test details Test setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterGPT-6 Astra: Snapshot: gpt-6-astra-max, Reasoning: max, Harness: Arena Code Arena WebDev Gemini 3.5 Flash: Snapshot: gemini-3.5-flash-medium, Reasoning: medium, Harness: Arena Code Arena WebDevGPT-6 Astra: Arena rating from 5,746 published pairwise votes.Gemini 3.5 Flash: Arena rating from 12,182 published pairwise votes.	Higher measured value1,780.244 95% confidence interval: ±10.541The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,490.915 95% confidence interval: ±6.662The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Text, Style ControlOverall Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGPT-6 Astra: Snapshot: gpt-6-astra-max, Reasoning: max, Harness: Arena Text, style control Gemini 3.5 Flash: Snapshot: gemini-3.5-flash-medium, Reasoning: medium, Harness: Arena Text, style controlGPT-6 Astra: Arena rating from 11,674 published pairwise votes.Gemini 3.5 Flash: Arena rating from 47,286 published pairwise votes.	Higher measured value1,476.716 95% confidence interval: ±6.385The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,475.847 95% confidence interval: ±4.145The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Vision, Style ControlOverall Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGPT-6 Astra: Snapshot: gpt-6-astra-max, Reasoning: max, Harness: Arena Vision, style control Gemini 3.5 Flash: Snapshot: gemini-3.5-flash-medium, Reasoning: medium, Harness: Arena Vision, style controlGPT-6 Astra: Arena rating from 3,590 published pairwise votes.Gemini 3.5 Flash: Arena rating from 13,180 published pairwise votes.	Higher measured value1,285.988 95% confidence interval: ±10.782The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,285.299 95% confidence interval: ±6.941The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/09/2026
MMMU-ProOverall Test details No documented difference in the test setupVersion: AA cohort: 1,730 questionsMetric: pass@1 accuracyScoring: Higher is betterGPT-6 Astra: Snapshot: GPT-6 Astra (Medium), Reasoning: Medium, Attempts: pass@1, one run per question Gemini 3.5 Flash: Snapshot: Gemini 3.5 Flash (Medium), Reasoning: Medium, Attempts: pass@1, one run per questionGPT-6 Astra: Exact AA configuration: GPT-6 Astra (Medium) (release gpt-6-astra, row gpt-6-astra-medium, UUID e97a4ef5-e817-480e-9595-12f81dc4974f, reasoning=true, source reasoning-token configuration budget=0, suffix=Medium). This configured value is not measured token consumption. The AA run covers 1,730 questions with ten answer options. Answers are extracted by regex and scored pass@1.Gemini 3.5 Flash: Exact AA configuration: Gemini 3.5 Flash (Medium) (release gemini-3-5-flash, row gemini-3-5-flash-medium, UUID 5016ea75-7b0e-4737-a7e6-1062c6d90fd4, reasoning=true, source reasoning-token configuration budget=0, suffix=Medium). This configured value is not measured token consumption. The AA run covers 1,730 questions with ten answer options. Answers are extracted by regex and scored pass@1.	Winner85.1% The benchmark page describes 3,460 questions in the full MMMU-Pro dataset; AA's methodology specifies a 1,730-question run.	83.9% The benchmark page describes 3,460 questions in the full MMMU-Pro dataset; AA's methodology specifies a 1,730-question run.	Artificial Analysis Source details Data as of: 10/19/2026
ProgramBenchAlmost Resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: almost-resolved rateScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value50 %	1.5 %	Vals AI Source details Data as of: 10/12/2026
SAGEAutomata Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 30,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens	37.302 %	Higher measured value38.492 %	Vals AI Source details Data as of: 10/08/2026
Tax Agent BenchControversy & Precedence Analysis Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value13.333 %	3.083 %	Vals AI Source details Data as of: 10/12/2026
Terminal-Bench 2.1Easy Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	No direct winner100 %	No direct winner100 %	Vals AI Source details Data as of: 09/28/2026
Terminal-Bench 4.0Hardware Test details Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value60 %	6.667 %	Vals AI Source details Data as of: 10/13/2026
Terminal-Bench ScienceEarth Sciences Test details Test setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Harness: Mini-SWE-agent, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 65,536 tokens	Higher measured value62.5 %	25 %	Vals AI Source details Data as of: 10/14/2026
Vals IndexCode Migration Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: benchmark scoreScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value68.462 %	27.148 %	Vals AI Source details Data as of: 10/13/2026
Code MigrationCOBOL Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value68.571 %	55.455 %	Vals AI Source details Data as of: 10/12/2026
EMBDataroom Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	79.319 %	Higher measured value80.921 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)All-Pass Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	40.252 %	Higher measured value45.706 %	Vals AI Source details Data as of: 10/12/2026
Harvey's Legal Agent BenchmarkAntitrust Competition · Task fully resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	No direct winner0 %	No direct winner0 %	Vals AI Source details Data as of: 10/12/2026
Legal Research BenchAdministrative / Regulatory · Weighted partial credit Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value87.482 %	87.126 %	Vals AI Source details Data as of: 10/12/2026
LMArena Code Arena WebDevImage to webdev Test details Test setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterGPT-6 Astra: Snapshot: gpt-6-astra-max, Reasoning: max, Harness: Arena Code Arena WebDev Gemini 3.5 Flash: Snapshot: gemini-3.5-flash-high, Reasoning: high, Harness: Arena Code Arena WebDevGPT-6 Astra: Arena rating from 2,739 published pairwise votes.Gemini 3.5 Flash: Arena rating from 2,020 published pairwise votes.	Higher measured value1,731.395 95% confidence interval: ±13.296The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,500.53 95% confidence interval: ±13.81The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/09/2026
LMArena Text, Style ControlBusiness, management and finance Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGPT-6 Astra: Snapshot: gpt-6-astra-max, Reasoning: max, Harness: Arena Text, style control Gemini 3.5 Flash: Snapshot: gemini-3.5-flash-high, Reasoning: high, Harness: Arena Text, style controlGPT-6 Astra: Arena rating from 2,061 published pairwise votes.Gemini 3.5 Flash: Arena rating from 9,394 published pairwise votes.	Higher measured value1,472.34 95% confidence interval: ±13.336The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,467.672 95% confidence interval: ±6.917The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Vision, Style ControlChinese Test details Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGPT-6 Astra: Snapshot: gpt-6-astra-max, Reasoning: max, Harness: Arena Vision, style control Gemini 3.5 Flash: Snapshot: gemini-3.5-flash-high, Reasoning: high, Harness: Arena Vision, style controlGPT-6 Astra: Arena rating from 230 published pairwise votes.Gemini 3.5 Flash: Arena rating from 820 published pairwise votes.	Higher measured value1,357.126 95% confidence interval: ±39.572The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,348.415 95% confidence interval: ±22.781The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/09/2026
ProgramBenchFully Resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: fully resolved rateScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value5.5 %	0 %	Vals AI Source details Data as of: 10/12/2026
SAGELinear Algebra Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 30,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens	62.117 %	Higher measured value68.305 %	Vals AI Source details Data as of: 10/08/2026
Tax Agent BenchControversy & Precedence Analysis Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value58.616 %	34.209 %	Vals AI Source details Data as of: 10/12/2026
Terminal-Bench 2.1Hard Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value87.778 %	60 %	Vals AI Source details Data as of: 09/28/2026
Terminal-Bench 4.0Media Test details Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value66.667 %	0 %	Vals AI Source details Data as of: 10/13/2026
Terminal-Bench ScienceEngineering Sciences Test details Test setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterGPT-6 Astra: Reasoning: max, Harness: Mini-SWE-agent, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 65,536 tokens	Higher measured value33.333 %	0 %	Vals AI Source details Data as of: 10/14/2026
Vals IndexEMB Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: benchmark scoreScoring: Higher is betterGPT-6 Astra: Reasoning: max, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Higher measured value71.7 %	63.548 %	Vals AI Source details Data as of: 10/13/2026
Key to the marks:better valuebetter, but not conclusivetie

Our model tests

Our tests

SVG short test

One SVG prompt and fixed output settings. Captures are shown only with 0 reported reasoning tokens or documented lack of reasoning controls. Identical test conditions do not make the models' internal compute identical.

Shared test round: 4ae5d8eeb9a9

GPT-6 Astra

Unavailable in this round

Gemini 3.5 Flash

Unavailable in this round

Earlier tests

Pelican on a bicycle

A community classic for free-form SVG drawing.

GPT-6 Astra

Reasoning (requested): high

Current attempt

Run date: Sep 7, 2026
API provider: openrouter
Requested API model: openai/gpt-6-astra
API model reported in response: openai/gpt-6-astra
Reasoning setting: high
Pinned endpoint: OpenAI | openai/gpt-6-astra-20260903
Temperature: Provider default
Token limit including reasoning: 8,192 tokens
Test protocol: community-visual-tests-v1
Technical checks: Passed, not a quality rating
Response time: 141.7 s

Visually reviewed. This individual test does not establish overall model quality.

Gemini 3.5 Flash

The response reached the token limit. No complete recording is available.

Reasoning (requested): high

Current attempt

Run date: Oct 6, 2026
API provider: openrouter
Requested API model: google/gemini-3.5-flash
API model reported in response: google/gemini-3.5-flash
Reasoning setting: high
Pinned endpoint: Google AI Studio | google/gemini-3.5-flash-20260519
Temperature: Provider default
Token limit including reasoning: 8,192 tokens
Test protocol: community-visual-tests-v1
Technical checks: Failed
Response time: 31.7 s

Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.

Earlier attempts (3)

Oct 2, 2026API request failedReasoning setting: high
Oct 1, 2026API request failedReasoning setting: high
Sep 7, 2026API request failedReasoning setting: high

Prompt and test conditions

Generate an SVG of a pelican riding a bicycle

Token limit including reasoning: 8,192 tokens

Task origin (Simon Willison)

How to read this comparison

Winning one benchmark is not an overall verdict

Your workload, budget, and required context length matter most. A coding benchmark says little about visual understanding or agent performance.

The standard price table uses direct developer rates. The provider comparison labels OpenRouter endpoints, regions, and special tariffs separately.

Every result links to its measurement source and retrieval date. Labels distinguish vendor reports, official benchmark leaderboards, and independent evaluations. Disputed or archived results are excluded.

More matchups

Compare GPT-6 Astra and Gemini 3.5 Flash with other leading models using the same data and benchmark logic.

View the complete LLM comparison

GPT-6 Astra vs. Gemini 3.5 Flash

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General specifications

API pricing compared

Shared benchmarks

Capability profile from matched benchmarks

Our tests

SVG short test

GPT-6 Astra

Gemini 3.5 Flash

Pelican on a bicycle

Winning one benchmark is not an overall verdict

Related LLM comparisons