Head-to-head comparison

Gemini 3.8 Flash 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: 281
distinct benchmarks: 38
latest retrieval: 2026-10-15

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 Gemini 3.8 Flash and Gemini 3.5 Flash
Attribute	Gemini 3.8 Flash	Gemini 3.5 Flash
Provider	Google	Google
Released	Sep 2, 2026	May 19, 2026
Availability	Active	Active
Model type	Proprietary	Proprietary
Parameters	Not published	Not published
Architecture	Not published	Not published
Context window	1,048,576 tokens	1,048,576 tokens
Knowledge cutoff	March 2026	Not published
Technical sources	Model, Knowledge cutoff	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 Gemini 3.8 Flash and Gemini 3.5 Flash
Price type	Gemini 3.8 Flash	Gemini 3.5 Flash
API input	$0.75	$1.5
API output	$3.75	$9
Cache read	$0.075	$0.15
Cache write (5 min.)	Not listed	Not listed
Cache write (1 hr.)	Not listed	Not listed
Price verified	09/22/2026 Source	09/22/2026 Source

Gemini 3.8 FlashGemini 3.5 Flash

API inputUSD per 1M tokens, base tier

Gemini 3.8 Flash$0.75

Gemini 3.5 Flash$1.5

API outputUSD per 1M tokens, base tier

Gemini 3.8 Flash$3.75

Gemini 3.5 Flash$9

Cache readUSD per 1M tokens, base tier

Gemini 3.8 Flash$0.075

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 Gemini 3.8 Flash and Gemini 3.5 Flash
Model	Provider	Purchase route and tariff	Input per 1M tokens	Output per 1M tokens	Source
Gemini 3.8 Flash	Google	Direct from developerStandard API	$0.75	$3.75	Source09/22/2026
	Google	Via OpenRoutergoogle-vertex/us	$0.825	$4.125	Source10/17/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio	$0.75	$3.75	Source10/17/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio/flex	Lowest listed price: $0.375	Lowest listed price: $1.875	Source10/17/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio/priority	$1.35	$6.75	Source10/17/2026
Gemini 3.5 Flash	Google	Direct from developerStandard API	$1.5	$9	Source09/22/2026
	Google	Via OpenRoutergoogle-vertex/global	$1.5	$9	Source10/17/2026
	Google	Via OpenRoutergoogle-vertex/global/priority	$2.7	$16.2	Source10/17/2026
	Google	Via OpenRoutergoogle-vertex/us	$1.65	$9.9	Source10/17/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio	$1.5	$9	Source10/17/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio/flex	Lowest listed price: $0.75	Lowest listed price: $4.5	Source10/17/2026
	Google AI Studio	Via OpenRoutergoogle-ai-studio/priority	$2.7	$16.2	Source10/17/2026

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.

Gemini 3.8 Flash

Gemini 3.5 Flash

Coding: 100 / 67.8 (9 benchmark families)

Reasoning: 100 / 94 (5 benchmark families)

Mathematics: 100 / 81.5 (2 benchmark families)

Knowledge: 100 / 89.7 (3 benchmark families)

Finance: 99.2 / 92.1 (6 benchmark families)

Legal: 99.7 / 89.7 (4 benchmark families)

Agentic tasks: 100 / 82.5 (5 benchmark families)

Multimodal: 100 / 98.9 (2 benchmark families)

238 matched rows from 35 benchmark families were considered. The radar shows 8 of 13 comparable categories.

Gemini 3.8 FlashGemini 3.5 Flash

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

Gemini 3.8 Flash1,203.02 elo

Gemini 3.5 Flash874.32 elo

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

Gemini 3.8 Flash81.3%

Gemini 3.5 Flash73.3%

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

Gemini 3.8 Flash29.55 points

Gemini 3.5 Flash21.183 points

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

Gemini 3.8 Flash40.926 points

Gemini 3.5 Flash32.598 points

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

Gemini 3.8 Flash59.9%

Gemini 3.5 Flash42.1%

Code MigrationOverall. Higher is better. No documented setup difference

Gemini 3.8 Flash36.546 %

Gemini 3.5 Flash26.745 %

EMBOverall. Higher is better. No documented setup difference

Gemini 3.8 Flash72.196 %

Gemini 3.5 Flash63.548 %

Finance Agent (v2)Overall. Higher is better. No documented setup difference

Gemini 3.8 Flash61.435 %

Gemini 3.5 Flash57.861 %

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

Gemini 3.8 Flash21.0%

Gemini 3.5 Flash19.8%

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

Gemini 3.8 Flash1,436.3 elo

Gemini 3.5 Flash1,202.58 elo

GPQA DiamondOverall. Higher is better. No documented setup difference

Gemini 3.8 Flash94.444 %

Gemini 3.5 Flash92.676 %

Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. No documented setup difference

Gemini 3.8 Flash10 %

Gemini 3.5 Flash2.5 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Gemini 3.8 Flash and Gemini 3.5 Flash
Benchmark and task	Gemini 3.8 Flash	Gemini 3.5 Flash	Source
AA-BriefcaseOverall Test details No documented difference in the test setupVersion: v1.1Metric: AA-Briefcase EloScoring: Higher is betterGemini 3.8 Flash: Snapshot: Gemini 3.8 Flash (High), Reasoning: High Gemini 3.5 Flash: Snapshot: Gemini 3.5 Flash (High), Reasoning: HighGemini 3.8 Flash: Exact AA configuration: Gemini 3.8 Flash (High) (release gemini-3-8-flash, row gemini-3-8-flash, UUID 8a999846-4c1d-4ce7-a8b7-1310a7166fd7, 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.	Winner1,203.02 elo	874.32 elo	Artificial Analysis Source details Data as of: 10/15/2026
AA-LCROverall Test details No documented difference in the test setupVersion: v1.1Metric: Pass rateScoring: Higher is betterGemini 3.8 Flash: Snapshot: Gemini 3.8 Flash (High), Reasoning: High Gemini 3.5 Flash: Snapshot: Gemini 3.5 Flash (High), Reasoning: HighGemini 3.8 Flash: Exact AA configuration: Gemini 3.8 Flash (High) (release gemini-3-8-flash, row gemini-3-8-flash, UUID 8a999846-4c1d-4ce7-a8b7-1310a7166fd7, 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.	Winner81.3%	73.3%	Artificial Analysis Source details Data as of: 10/15/2026
AA-OmniscienceOverall Test details No documented difference in the test setupVersion: unspecifiedMetric: AA-Omniscience IndexScoring: Higher is betterGemini 3.8 Flash: Snapshot: Gemini 3.8 Flash (High), Reasoning: High Gemini 3.5 Flash: Snapshot: Gemini 3.5 Flash (High), Reasoning: HighGemini 3.8 Flash: Exact AA configuration: Gemini 3.8 Flash (High) (release gemini-3-8-flash, row gemini-3-8-flash, UUID 8a999846-4c1d-4ce7-a8b7-1310a7166fd7, 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.	Winner29.55 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: 10/15/2026
Artificial Analysis Intelligence IndexOverall Test details No documented difference in the test setupVersion: v4.3.2Metric: Artificial Analysis Intelligence IndexScoring: Higher is betterGemini 3.8 Flash: Snapshot: Gemini 3.8 Flash (High), Reasoning: High Gemini 3.5 Flash: Snapshot: Gemini 3.5 Flash (High), Reasoning: HighGemini 3.8 Flash: Exact AA configuration: Gemini 3.8 Flash (High) (release gemini-3-8-flash, row gemini-3-8-flash, UUID 8a999846-4c1d-4ce7-a8b7-1310a7166fd7, 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.	Winner40.926 points	32.598 points	Artificial Analysis Source details Data as of: 10/15/2026
AutomationBench-AAOverall Test details No documented difference in the test setupVersion: unspecifiedMetric: Objectives completed without guardrail violationsScoring: Higher is betterGemini 3.8 Flash: Snapshot: Gemini 3.8 Flash (High), Reasoning: High Gemini 3.5 Flash: Snapshot: Gemini 3.5 Flash (High), Reasoning: HighGemini 3.8 Flash: Exact AA configuration: Gemini 3.8 Flash (High) (release gemini-3-8-flash, row gemini-3-8-flash, UUID 8a999846-4c1d-4ce7-a8b7-1310a7166fd7, 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.	Winner59.9%	42.1%	Artificial Analysis Source details Data as of: 10/15/2026
Code MigrationOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner36.546 %	26.745 %	Vals AI Source details Data as of: 10/12/2026
EMBOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner72.196 %	63.548 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)Overall Test details No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner61.435 %	57.861 %	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 betterGemini 3.8 Flash: Snapshot: Gemini 3.8 Flash (High), Reasoning: High Gemini 3.5 Flash: Snapshot: Gemini 3.5 Flash (High), Reasoning: HighGemini 3.8 Flash: Exact AA configuration: Gemini 3.8 Flash (High) (release gemini-3-8-flash, row gemini-3-8-flash, UUID 8a999846-4c1d-4ce7-a8b7-1310a7166fd7, 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.	Winner21.0%	19.8%	Artificial Analysis Source details Data as of: 10/15/2026
GDPval-AAOverall Test details No documented difference in the test setupVersion: v2.1Metric: GDPval-AA EloScoring: Higher is betterGemini 3.8 Flash: Snapshot: Gemini 3.8 Flash (High), Reasoning: High Gemini 3.5 Flash: Snapshot: Gemini 3.5 Flash (High), Reasoning: HighGemini 3.8 Flash: Exact AA configuration: Gemini 3.8 Flash (High) (release gemini-3-8-flash, row gemini-3-8-flash, UUID 8a999846-4c1d-4ce7-a8b7-1310a7166fd7, 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.	Winner1,436.3 elo	1,202.58 elo	Artificial Analysis Source details Data as of: 10/15/2026
GPQA DiamondOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner94.444 %	92.676 %	Vals AI Source details Data as of: 09/01/2026
Harvey's Legal Agent BenchmarkOverall · Task fully resolved Test details No documented difference in the test setupVersion: 1Metric: task resolution rateScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner10 %	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 betterGemini 3.8 Flash: Snapshot: Gemini 3.8 Flash (High), Reasoning: High Gemini 3.5 Flash: Snapshot: Gemini 3.5 Flash (High), Reasoning: HighGemini 3.8 Flash: Exact AA configuration: Gemini 3.8 Flash (High) (release gemini-3-8-flash, row gemini-3-8-flash, UUID 8a999846-4c1d-4ce7-a8b7-1310a7166fd7, 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.	Winner47.8% 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: 10/15/2026
Legal Research BenchOverall · All-pass Test details No documented difference in the test setupVersion: 1Metric: all-pass rateScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner38.942 %	30.769 %	Vals AI Source details Data as of: 10/12/2026
LegalBenchOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner86.993 %	83.602 %	Vals AI Source details Data as of: 10/13/2026
LiveCodeBench v6Overall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner89.484 %	87.604 %	Vals AI Source details Data as of: 09/01/2026
LMArena Code Arena WebDevOverall Test details No documented difference in the test setupVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Code Arena WebDev Gemini 3.5 Flash: Snapshot: gemini-3.5-flash-high, Reasoning: high, Harness: Arena Code Arena WebDevGemini 3.8 Flash: Arena rating from 10,077 published pairwise votes.Gemini 3.5 Flash: Arena rating from 9,415 published pairwise votes.	Winner1,584.77 95% confidence interval: ±7.59The 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 No documented difference in the test setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Text, style control Gemini 3.5 Flash: Snapshot: gemini-3.5-flash-high, Reasoning: high, Harness: Arena Text, style controlGemini 3.8 Flash: Arena rating from 35,670 published pairwise votes.Gemini 3.5 Flash: Arena rating from 48,486 published pairwise votes.	Winner1,496.319 95% confidence interval: ±4.654The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,477.344 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 No documented difference in the test setupNo clear leadVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Vision, style control Gemini 3.5 Flash: Snapshot: gemini-3.5-flash-high, Reasoning: high, Harness: Arena Vision, style controlGemini 3.8 Flash: Arena rating from 3,792 published pairwise votes.Gemini 3.5 Flash: Arena rating from 13,103 published pairwise votes.	No clear lead1,289.129 95% confidence interval: ±10.62The 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 betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens	48.135 %	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 betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens	Higher measured value84.496 %	76.574 %	Vals AI Source details Data as of: 10/13/2026
MMLU-ProOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner90.221 %	89.515 %	Vals AI Source details Data as of: 09/01/2026
MMMU-ProOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner89.075 %	88.266 %	Vals AI Source details Data as of: 09/01/2026
MortgageTaxOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	65.342 %	Winner68.124 %	Vals AI Source details Data as of: 09/01/2026
ProgramBenchOverall Test details No documented difference in the test setupVersion: 1Metric: fully resolved rateScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner1 %	0 %	Vals AI Source details Data as of: 10/12/2026
ProofBenchOverall Test details No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner48 %	31 %	Vals AI Source details Data as of: 10/12/2026
Public Benefits Bench v1.1Overall Test details No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner65.291 %	59.472 %	Vals AI Source details Data as of: 10/12/2026
SAGEOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens	35.064 %	Winner49.885 %	Vals AI Source details Data as of: 10/08/2026
SkillsBenchOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Harness: OpenHands, Temperature: 1, Output limit: 65,536 tokens	Winner57.985 %	52.737 %	Vals AI Source details Data as of: 09/27/2026
SWE-bench VerifiedOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner80 %	78.8 %	Vals AI Source details Data as of: 09/01/2026
Tax Agent BenchOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner32.124 %	21.652 %	Vals AI Source details Data as of: 10/12/2026
TaxEval v2Overall Test details No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner74.448 %	74.366 %	Vals AI Source details Data as of: 09/01/2026
Terminal-BenchOverall Test details No documented difference in the test setupVersion: 4.0Metric: Task successScoring: Higher is betterGemini 3.8 Flash: Snapshot: Gemini 3.8 Flash (High), Reasoning: High Gemini 3.5 Flash: Snapshot: Gemini 3.5 Flash (High), Reasoning: HighGemini 3.8 Flash: Exact AA configuration: Gemini 3.8 Flash (High) (release gemini-3-8-flash, row gemini-3-8-flash, UUID 8a999846-4c1d-4ce7-a8b7-1310a7166fd7, 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.	Winner19.7%	6.6%	Artificial Analysis Source details Data as of: 10/15/2026
Terminal-Bench 2.1Overall Test details No documented difference in the test setupVersion: 2.1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner81.273 %	74.157 %	Vals AI Source details Data as of: 09/28/2026
Terminal-Bench 4.0Overall Test details No documented difference in the test setupVersion: 4.0Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner19.697 %	6.061 %	Vals AI Source details Data as of: 10/13/2026
Terminal-Bench ScienceOverall Test details No documented difference in the test setupVersion: 0.1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 65,536 tokens	Winner8.571 %	5.714 %	Vals AI Source details Data as of: 10/14/2026
Vals IndexOverall Test details No documented difference in the test setupVersion: 2.1Metric: weighted index scoreScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner54.887 %	44.786 %	Vals AI Source details Data as of: 10/13/2026
Vibe Code Bench v1.1Overall Test details No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Harness: OpenHands, Temperature: 1, Output limit: 65,536 tokens	Winner78.651 %	48.683 %	Vals AI Source details Data as of: 10/12/2026
Code MigrationCLI Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner25.871 %	17.175 %	Vals AI Source details Data as of: 10/12/2026
EMBComps Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner76.435 %	69.788 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)Adjustments Test details No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	54.828 %	Winner54.869 %	Vals AI Source details Data as of: 10/12/2026
GPQA DiamondFew-Shot CoT Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner94.949 %	91.414 %	Vals AI Source details Data as of: 09/01/2026
Harvey's Legal Agent BenchmarkAntitrust Competition · Criteria passed Test details No documented difference in the test setupVersion: 1Metric: criteria pass rateScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner87.681 %	84.42 %	Vals AI Source details Data as of: 10/12/2026
Legal Research BenchAdministrative / Regulatory · All-pass Test details No documented difference in the test setupVersion: 1Metric: all-pass rateScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner46.97 %	43.939 %	Vals AI Source details Data as of: 10/12/2026
LegalBenchConclusion Tasks Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner90.691 %	81.939 %	Vals AI Source details Data as of: 10/13/2026
LiveCodeBench v6Easy Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Tie99.068 %	Tie99.068 %	Vals AI Source details Data as of: 09/01/2026
LMArena Code Arena WebDevOverall Test details Test setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Code Arena WebDev Gemini 3.5 Flash: Snapshot: gemini-3.5-flash-medium, Reasoning: medium, Harness: Arena Code Arena WebDevGemini 3.8 Flash: Arena rating from 10,077 published pairwise votes.Gemini 3.5 Flash: Arena rating from 12,182 published pairwise votes.	Higher measured value1,584.77 95% confidence interval: ±7.59The 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 betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Text, style control Gemini 3.5 Flash: Snapshot: gemini-3.5-flash-medium, Reasoning: medium, Harness: Arena Text, style controlGemini 3.8 Flash: Arena rating from 35,670 published pairwise votes.Gemini 3.5 Flash: Arena rating from 47,286 published pairwise votes.	Higher measured value1,496.319 95% confidence interval: ±4.654The 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 betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Vision, style control Gemini 3.5 Flash: Snapshot: gemini-3.5-flash-medium, Reasoning: medium, Harness: Arena Vision, style controlGemini 3.8 Flash: Arena rating from 3,792 published pairwise votes.Gemini 3.5 Flash: Arena rating from 13,180 published pairwise votes.	Higher measured value1,289.129 95% confidence interval: ±10.62The 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
MMLU-ProBiology Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner94.979 %	93.863 %	Vals AI Source details Data as of: 09/01/2026
MortgageTaxNumerical Extraction Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	70.588 %	Winner77.504 %	Vals AI Source details Data as of: 09/01/2026
ProgramBenchAlmost Resolved Test details No documented difference in the test setupVersion: 1Metric: almost-resolved rateScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner14 %	1.5 %	Vals AI Source details Data as of: 10/12/2026
SAGEAutomata Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens	33.334 %	Winner38.492 %	Vals AI Source details Data as of: 10/08/2026
SkillsBenchNo Skills Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Harness: OpenHands, Temperature: 1, Output limit: 65,536 tokens	Winner41.046 %	40.971 %	Vals AI Source details Data as of: 09/27/2026
SWE-bench Verified<15 min fix Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner89.691 %	86.598 %	Vals AI Source details Data as of: 09/01/2026
Tax Agent BenchControversy & Precedence Analysis Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner6.667 %	3.083 %	Vals AI Source details Data as of: 10/12/2026
TaxEval v2Correctness Test details No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner62.469 %	61.897 %	Vals AI Source details Data as of: 09/01/2026
Terminal-Bench 2.1Easy Test details No documented difference in the test setupVersion: 2.1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Tie100 %	Tie100 %	Vals AI Source details Data as of: 09/28/2026
Terminal-Bench 4.0Hardware Test details No documented difference in the test setupVersion: 4.0Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner26.667 %	6.667 %	Vals AI Source details Data as of: 10/13/2026
Terminal-Bench ScienceEarth Sciences Test details No documented difference in the test setupVersion: 0.1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 65,536 tokens	0 %	Winner25 %	Vals AI Source details Data as of: 10/14/2026
Vals IndexCode Migration Test details No documented difference in the test setupVersion: 2.1Metric: benchmark scoreScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner31.558 %	27.148 %	Vals AI Source details Data as of: 10/13/2026
Code MigrationCOBOL Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner68.571 %	55.455 %	Vals AI Source details Data as of: 10/12/2026
EMBDataroom Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner86.218 %	80.921 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)All-Pass Test details No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens	Winner49.694 %	45.706 %	Vals AI Source details Data as of: 10/12/2026
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

Gemini 3.8 Flash

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.

Gemini 3.8 Flash

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

Reasoning (requested): high

Current attempt

Run date: Oct 5, 2026
API provider: openrouter
Requested API model: google/gemini-3.8-flash
API model reported in response: google/gemini-3.8-flash
Reasoning setting: high
Pinned endpoint: Google AI Studio | google/gemini-3.8-flash-20260902
Temperature: Provider default
Token limit including reasoning: 8,192 tokens
Test protocol: community-visual-tests-v1
Technical checks: Failed
Response time: 40.2 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

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 Gemini 3.8 Flash and Gemini 3.5 Flash with other leading models using the same data and benchmark logic.

View the complete LLM comparison

Gemini 3.8 Flash vs. Gemini 3.5 Flash

Change model selection

General specifications

API pricing compared

Shared benchmarks

Capability profile from matched benchmarks

Our tests

SVG short test

Gemini 3.8 Flash

Gemini 3.5 Flash

Pelican on a bicycle

Winning one benchmark is not an overall verdict

Related LLM comparisons