Head-to-head comparison

Claude Sonnet 4.6 vs. GPT-5.6 Luna

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

shared result series: 187
distinct benchmark metrics: 35
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 Claude Sonnet 4.6 and GPT-5.6 Luna
Attribute	Claude Sonnet 4.6	GPT-5.6 Luna
Provider	Anthropic	OpenAI
Released	Feb 2026	Jul 9, 2026
Availability	Active	Active
Model type	Proprietary	Proprietary
Parameters	Not published	Not published
Architecture	Not published	Not published
Context window	1,000,000 tokens	1,050,000 tokens
Knowledge cutoff	August 2025	February 16, 2026
Technical sources	Model, Context	Model, Context, Knowledge cutoff

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 Claude Sonnet 4.6 and GPT-5.6 Luna
Price type	Claude Sonnet 4.6	GPT-5.6 Luna
API input	$3	$0.2 ≤272K / $0.4 >272K
API output	$15	$1.2 ≤272K / $1.8 >272K
Cache read	$0.3	$0.02 ≤272K / $0.04 >272K
Cache write (5 min.)	$3.75	$0.25 ≤272K / $0.5 >272K
Cache write (1 hr.)	$6	Not listed
Price verified	09/22/2026 Source	09/22/2026 Source

Claude Sonnet 4.6GPT-5.6 Luna

API inputUSD per 1M tokens, base tier

Claude Sonnet 4.6$3

GPT-5.6 Luna$0.2

API outputUSD per 1M tokens, base tier

Claude Sonnet 4.6$15

GPT-5.6 Luna$1.2

Cache readUSD per 1M tokens, base tier

Claude Sonnet 4.6$0.3

GPT-5.6 Luna$0.02

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 Claude Sonnet 4.6 and GPT-5.6 Luna
Model	Provider	Purchase route and tariff	Input per 1M tokens	Output per 1M tokens	Source
Claude Sonnet 4.6	Anthropic	Direct from developerStandard API	Lowest listed price: $3	Lowest listed price: $15	Source09/22/2026
	Amazon Bedrock	Via OpenRouteramazon-bedrock/eu-west-1	$3.3	$16.5	Source10/26/2026
	Amazon Bedrock	Via OpenRouteramazon-bedrock/global	Lowest listed price: $3	Lowest listed price: $15	Source10/26/2026
	Amazon Bedrock	Via OpenRouteramazon-bedrock/us	$3.3	$16.5	Source10/26/2026
	Anthropic	Via OpenRouteranthropic	Lowest listed price: $3	Lowest listed price: $15	Source10/26/2026
	Azure	Via OpenRouterazure/global	Lowest listed price: $3	Lowest listed price: $15	Source10/26/2026
	Claude Platform on AWS	Via OpenRouterclaude-on-aws	Lowest listed price: $3	Lowest listed price: $15	Source10/26/2026
	Google	Via OpenRoutergoogle-vertex/europe	$3.3	$16.5	Source10/26/2026
	Google	Via OpenRoutergoogle-vertex/global	Lowest listed price: $3	Lowest listed price: $15	Source10/26/2026
	Google	Via OpenRoutergoogle-vertex/us-east5	$3.3	$16.5	Source10/26/2026
GPT-5.6 Luna	OpenAI	Direct from developerUp to 272,000 context tokens	$0.2	$1.2	Source09/22/2026
	OpenAI	Direct from developerAbove 272,000 context tokens	$0.4	$1.8	Source09/22/2026
	Amazon Bedrock	Via OpenRouteramazon-bedrock/us-east-1	$0.22	$1.32	Source10/26/2026
	Azure	Via OpenRouterazure	$0.2	$1.2	Source10/26/2026
	Azure	Via OpenRouterazure/eu	$0.22	$1.32	Source10/26/2026
	Azure	Via OpenRouterazure/us	$0.22	$1.32	Source10/26/2026
	OpenAI	Via OpenRouteropenai	$0.2	$1.2	Source10/26/2026
	OpenAI	Via OpenRouteropenai/fast	$0.4	$2.4	Source10/26/2026
	OpenAI	Via OpenRouteropenai/flex	Lowest listed price: $0.1	Lowest listed price: $0.6	Source10/26/2026

Benchmark index

Benchmark index compared

The index combines independent benchmarks on a scale from 0 to 100. A lead only counts when a model comes first in at least 95% of 200 recalculations with randomly redrawn test families. Otherwise both count as level.

Open the AI leaderboard

Claude Sonnet 4.6

Overall index

22.0

GPT-5.6 Luna

Overall index

36.2

GPT-5.6 Luna leads in 5 of 10 shared areas. 5 areas are tied.

Area	Claude Sonnet 4.6	GPT-5.6 Luna
Coding	17.5	43.1
Reasoning	22.8	51.1
Knowledgetied	25.0	15.3
Agents	14.3	47.6
Financetied	44.6	52.8
Legaltied	28.0	29.8
Health	13.7	34.5
Multimodal	20.4	28.3
Productivitytied	29.8	35.7
Educationtied	27.4	37.4

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.

Claude Sonnet 4.6

GPT-5.6 Luna

Coding: 26.1 / 100 (1 benchmark family)

Reasoning: 82.2 / 100 (3 benchmark families)

Knowledge: 98.5 / 50.8 (1 benchmark family)

Agentic tasks: 76.1 / 100 (5 benchmark families)

Multimodal: 93.3 / 100 (1 benchmark family)

Overall: 81.8 / 100 (2 benchmark families)

15 matched rows from 13 benchmark families were considered. The radar shows 6 of 6 comparable categories.

Claude Sonnet 4.6GPT-5.6 Luna

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

Claude Sonnet 4.61,062.96 elo

GPT-5.6 Luna1,342.18 elo

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

Claude Sonnet 4.680.0%

GPT-5.6 Luna83.7%

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

Claude Sonnet 4.612.217 points

GPT-5.6 Luna-10.283 points

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

Claude Sonnet 4.640.9%

GPT-5.6 Luna42.7%

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

Claude Sonnet 4.648.4%

GPT-5.6 Luna92.6%

APEX-Agents-AAOverall. Higher is better. No documented setup difference

Claude Sonnet 4.628.0%

GPT-5.6 Luna35.8%

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

Claude Sonnet 4.630.058 points

GPT-5.6 Luna37.324 points

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

Claude Sonnet 4.620.1%

GPT-5.6 Luna50.2%

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

Claude Sonnet 4.639.892 %

GPT-5.6 Luna44.55 %

CorpFin v2Overall. Higher is better. Test setup not documented as identical

Claude Sonnet 4.665.307 %

GPT-5.6 Luna64.219 %

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

Claude Sonnet 4.660.154 %

GPT-5.6 Luna67.116 %

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

Claude Sonnet 4.651.035 %

GPT-5.6 Luna55.044 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Claude Sonnet 4.6 and GPT-5.6 Luna
Benchmark and task	Claude Sonnet 4.6	GPT-5.6 Luna	Source
AA-BriefcaseOverall Test details No documented difference in the test setupVersion: v1.1Metric: AA-Briefcase EloScoring: Higher is betterClaude Sonnet 4.6: Snapshot: Claude Sonnet 4.6 (Max), Reasoning: Max GPT-5.6 Luna: Snapshot: GPT-5.6 Luna (Max), Reasoning: MaxClaude Sonnet 4.6: Exact AA configuration: Claude Sonnet 4.6 (Max) (release claude-sonnet-4-6, row claude-sonnet-4-6-adaptive, UUID df8d14e0-3997-4e4d-b4ad-9c047acc9c69, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption.GPT-5.6 Luna: Exact AA configuration: GPT-5.6 Luna (Max) (release gpt-5-6-luna, row gpt-5-6-luna, UUID 426d24c8-49ae-482a-b4a8-20f1c53f21c1, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption.	1,062.96 elo	Winner1,342.18 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 betterClaude Sonnet 4.6: Snapshot: Claude Sonnet 4.6 (Max), Reasoning: Max GPT-5.6 Luna: Snapshot: GPT-5.6 Luna (Max), Reasoning: MaxClaude Sonnet 4.6: Exact AA configuration: Claude Sonnet 4.6 (Max) (release claude-sonnet-4-6, row claude-sonnet-4-6-adaptive, UUID df8d14e0-3997-4e4d-b4ad-9c047acc9c69, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption.GPT-5.6 Luna: Exact AA configuration: GPT-5.6 Luna (Max) (release gpt-5-6-luna, row gpt-5-6-luna, UUID 426d24c8-49ae-482a-b4a8-20f1c53f21c1, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption.	80.0%	Winner83.7%	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 betterClaude Sonnet 4.6: Snapshot: Claude Sonnet 4.6 (Max), Reasoning: Max GPT-5.6 Luna: Snapshot: GPT-5.6 Luna (Max), Reasoning: MaxClaude Sonnet 4.6: Exact AA configuration: Claude Sonnet 4.6 (Max) (release claude-sonnet-4-6, row claude-sonnet-4-6-adaptive, UUID df8d14e0-3997-4e4d-b4ad-9c047acc9c69, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption.GPT-5.6 Luna: Exact AA configuration: GPT-5.6 Luna (Max) (release gpt-5-6-luna, row gpt-5-6-luna, UUID 426d24c8-49ae-482a-b4a8-20f1c53f21c1, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption.	Winner12.217 points The index can be negative and ranges from -100 to 100 according to Artificial Analysis.	-10.283 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 betterClaude Sonnet 4.6: Snapshot: Claude Sonnet 4.6 (Max), Reasoning: Max, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard GPT-5.6 Luna: Snapshot: GPT-5.6 Luna (Max), Reasoning: Max, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboardClaude Sonnet 4.6: Exact AA configuration: Claude Sonnet 4.6 (Max) (release claude-sonnet-4-6, row claude-sonnet-4-6-adaptive, UUID df8d14e0-3997-4e4d-b4ad-9c047acc9c69, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). 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.GPT-5.6 Luna: Exact AA configuration: GPT-5.6 Luna (Max) (release gpt-5-6-luna, row gpt-5-6-luna, UUID 426d24c8-49ae-482a-b4a8-20f1c53f21c1, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). 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.	40.9% This is the separately published accuracy diagnostic, not the AA-Omniscience Index. AA identifies higher values as better.	Winner42.7% 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 betterClaude Sonnet 4.6: Snapshot: Claude Sonnet 4.6 (Max), Reasoning: Max, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard GPT-5.6 Luna: Snapshot: GPT-5.6 Luna (Max), Reasoning: Max, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboardClaude Sonnet 4.6: Exact AA configuration: Claude Sonnet 4.6 (Max) (release claude-sonnet-4-6, row claude-sonnet-4-6-adaptive, UUID df8d14e0-3997-4e4d-b4ad-9c047acc9c69, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption. Proportion of incorrect answers among all non-correct responses: incorrect / (incorrect + partial answers + not attempted).GPT-5.6 Luna: Exact AA configuration: GPT-5.6 Luna (Max) (release gpt-5-6-luna, row gpt-5-6-luna, UUID 426d24c8-49ae-482a-b4a8-20f1c53f21c1, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption. Proportion of incorrect answers among all non-correct responses: incorrect / (incorrect + partial answers + not attempted).	Winner48.4% This is the separately published hallucination-rate diagnostic, not the AA-Omniscience Index. AA identifies lower values as better.	92.6% 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
APEX-Agents-AAOverall Test details No documented difference in the test setupVersion: AA public cohort: 452 tasksMetric: Pass@1 success rateScoring: Higher is betterClaude Sonnet 4.6: Snapshot: Claude Sonnet 4.6 (Max), Reasoning: Max, Agent: Stirrup agent, Harness: Artificial Analysis Stirrup, Attempts: pass@1, averaged over 3 repeats per task GPT-5.6 Luna: Snapshot: GPT-5.6 Luna (Max), Reasoning: Max, Agent: Stirrup agent, Harness: Artificial Analysis Stirrup, Attempts: pass@1, averaged over 3 repeats per taskClaude Sonnet 4.6: Exact AA configuration: Claude Sonnet 4.6 (Max) (release claude-sonnet-4-6, row claude-sonnet-4-6-adaptive, UUID df8d14e0-3997-4e4d-b4ad-9c047acc9c69, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption. 452 tasks from the public 480-task release, with three repeats per task. A run passes only if every rubric criterion is satisfied; the leaderboard averages pass@1 across repeats.GPT-5.6 Luna: Exact AA configuration: GPT-5.6 Luna (Max) (release gpt-5-6-luna, row gpt-5-6-luna, UUID 426d24c8-49ae-482a-b4a8-20f1c53f21c1, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption. 452 tasks from the public 480-task release, with three repeats per task. A run passes only if every rubric criterion is satisfied; the leaderboard averages pass@1 across repeats.	28.0% Two Investment Banking worlds are excluded because they depend on external runtime APIs.	Winner35.8% Two Investment Banking worlds are excluded because they depend on external runtime APIs.	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 betterClaude Sonnet 4.6: Snapshot: Claude Sonnet 4.6 (Max), Reasoning: Max GPT-5.6 Luna: Snapshot: GPT-5.6 Luna (Max), Reasoning: MaxClaude Sonnet 4.6: Exact AA configuration: Claude Sonnet 4.6 (Max) (release claude-sonnet-4-6, row claude-sonnet-4-6-adaptive, UUID df8d14e0-3997-4e4d-b4ad-9c047acc9c69, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption.GPT-5.6 Luna: Exact AA configuration: GPT-5.6 Luna (Max) (release gpt-5-6-luna, row gpt-5-6-luna, UUID 426d24c8-49ae-482a-b4a8-20f1c53f21c1, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption.	30.058 points	Winner37.324 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 betterClaude Sonnet 4.6: Snapshot: Claude Sonnet 4.6 (Max), Reasoning: Max GPT-5.6 Luna: Snapshot: GPT-5.6 Luna (Max), Reasoning: MaxClaude Sonnet 4.6: Exact AA configuration: Claude Sonnet 4.6 (Max) (release claude-sonnet-4-6, row claude-sonnet-4-6-adaptive, UUID df8d14e0-3997-4e4d-b4ad-9c047acc9c69, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption.GPT-5.6 Luna: Exact AA configuration: GPT-5.6 Luna (Max) (release gpt-5-6-luna, row gpt-5-6-luna, UUID 426d24c8-49ae-482a-b4a8-20f1c53f21c1, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption.	20.1%	Winner50.2%	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 betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	39.892 %	Higher measured value44.55 %	Vals AI Source details Data as of: 10/12/2026
CorpFin v2Overall Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	Higher measured value65.307 %	64.219 %	Vals AI Source details Data as of: 08/12/2026
EMBOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	60.154 %	Higher measured value67.116 %	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 betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	51.035 %	Higher measured value55.044 %	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 betterClaude Sonnet 4.6: Snapshot: Claude Sonnet 4.6 (Max), Reasoning: Max GPT-5.6 Luna: Snapshot: GPT-5.6 Luna (Max), Reasoning: MaxClaude Sonnet 4.6: Exact AA configuration: Claude Sonnet 4.6 (Max) (release claude-sonnet-4-6, row claude-sonnet-4-6-adaptive, UUID df8d14e0-3997-4e4d-b4ad-9c047acc9c69, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption.GPT-5.6 Luna: Exact AA configuration: GPT-5.6 Luna (Max) (release gpt-5-6-luna, row gpt-5-6-luna, UUID 426d24c8-49ae-482a-b4a8-20f1c53f21c1, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption.	15.8%	Winner24.0%	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 betterClaude Sonnet 4.6: Snapshot: Claude Sonnet 4.6 (Max), Reasoning: Max GPT-5.6 Luna: Snapshot: GPT-5.6 Luna (Max), Reasoning: MaxClaude Sonnet 4.6: Exact AA configuration: Claude Sonnet 4.6 (Max) (release claude-sonnet-4-6, row claude-sonnet-4-6-adaptive, UUID df8d14e0-3997-4e4d-b4ad-9c047acc9c69, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption.GPT-5.6 Luna: Exact AA configuration: GPT-5.6 Luna (Max) (release gpt-5-6-luna, row gpt-5-6-luna, UUID 426d24c8-49ae-482a-b4a8-20f1c53f21c1, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption.	1,232 elo	Winner1,459.2 elo	Artificial Analysis Source details Data as of: 10/19/2026
GPQA DiamondOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	85.606 %	Higher measured value91.666 %	Vals AI Source details Data as of: 09/01/2026
Harvey's Legal Agent BenchmarkOverall · Task fully resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	Higher measured value5 %	1.25 %	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 betterClaude Sonnet 4.6: Snapshot: Claude Sonnet 4.6 (Max), Reasoning: Max GPT-5.6 Luna: Snapshot: GPT-5.6 Luna (Max), Reasoning: MaxClaude Sonnet 4.6: Exact AA configuration: Claude Sonnet 4.6 (Max) (release claude-sonnet-4-6, row claude-sonnet-4-6-adaptive, UUID df8d14e0-3997-4e4d-b4ad-9c047acc9c69, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption.GPT-5.6 Luna: Exact AA configuration: GPT-5.6 Luna (Max) (release gpt-5-6-luna, row gpt-5-6-luna, UUID 426d24c8-49ae-482a-b4a8-20f1c53f21c1, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption.	33.6% Artificial Analysis describes this comparable run as 2,158 text-only questions, not the full 2,500-question dataset.	Winner39.5% 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
ITBench-AA (SRE)Overall Test details No documented difference in the test setupVersion: AA cohort: 59 tasksMetric: Average precision at full recallScoring: Higher is betterClaude Sonnet 4.6: Snapshot: Claude Sonnet 4.6 (Max), Reasoning: Max, Agent: Stirrup agent, Harness: Artificial Analysis Stirrup, Attempts: Average precision at full recall, 3 repeats per task GPT-5.6 Luna: Snapshot: GPT-5.6 Luna (Max), Reasoning: Max, Agent: Stirrup agent, Harness: Artificial Analysis Stirrup, Attempts: Average precision at full recall, 3 repeats per taskClaude Sonnet 4.6: Exact AA configuration: Claude Sonnet 4.6 (Max) (release claude-sonnet-4-6, row claude-sonnet-4-6-adaptive, UUID df8d14e0-3997-4e4d-b4ad-9c047acc9c69, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption. 59 Kubernetes incident tasks, 40 public and 19 private, with three repeats per task. A run scores zero if it misses any true root cause; otherwise it receives its precision at full recall. This is the SRE slice of ITBench.GPT-5.6 Luna: Exact AA configuration: GPT-5.6 Luna (Max) (release gpt-5-6-luna, row gpt-5-6-luna, UUID 426d24c8-49ae-482a-b4a8-20f1c53f21c1, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption. 59 Kubernetes incident tasks, 40 public and 19 private, with three repeats per task. A run scores zero if it misses any true root cause; otherwise it receives its precision at full recall. This is the SRE slice of ITBench.	39.8% This AA implementation covers Site Reliability Engineering only, not ITBench's other CISO and FinOps domains.	Winner40.3% This AA implementation covers Site Reliability Engineering only, not ITBench's other CISO and FinOps domains.	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 betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	Higher measured value38.462 %	36.538 %	Vals AI Source details Data as of: 10/12/2026
LegalBenchOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	82.12 %	Higher measured value84.034 %	Vals AI Source details Data as of: 10/13/2026
MMLU-ProOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	Higher measured value87.341 %	86.036 %	Vals AI Source details Data as of: 09/01/2026
MMMU-ProOverall Test details No documented difference in the test setupVersion: AA cohort: 1,730 questionsMetric: pass@1 accuracyScoring: Higher is betterClaude Sonnet 4.6: Snapshot: Claude Sonnet 4.6 (Max), Reasoning: Max, Attempts: pass@1, one run per question GPT-5.6 Luna: Snapshot: GPT-5.6 Luna (Max), Reasoning: Max, Attempts: pass@1, one run per questionClaude Sonnet 4.6: Exact AA configuration: Claude Sonnet 4.6 (Max) (release claude-sonnet-4-6, row claude-sonnet-4-6-adaptive, UUID df8d14e0-3997-4e4d-b4ad-9c047acc9c69, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). 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.GPT-5.6 Luna: Exact AA configuration: GPT-5.6 Luna (Max) (release gpt-5-6-luna, row gpt-5-6-luna, UUID 426d24c8-49ae-482a-b4a8-20f1c53f21c1, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). 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.	73.3% The benchmark page describes 3,460 questions in the full MMMU-Pro dataset; AA's methodology specifies a 1,730-question run.	Winner78.6% 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
MMMU-ProOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	83.584 %	Higher measured value85.029 %	Vals AI Source details Data as of: 09/01/2026
MortgageTaxOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	Higher measured value67.726 %	67.29 %	Vals AI Source details Data as of: 09/01/2026
ProgramBenchOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: fully resolved rateScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	Higher measured value0.5 %	0 %	Vals AI Source details Data as of: 10/12/2026
Public Benefits Bench v1.1Overall Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	Higher measured value62.449 %	61.164 %	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 betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 30,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 30,000 tokens	Higher measured value46.582 %	44.22 %	Vals AI Source details Data as of: 10/08/2026
SkillsBenchOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Harness: OpenHands, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Harness: OpenHands, Output limit: 128,000 tokens	49.052 %	Higher measured value60.447 %	Vals AI Source details Data as of: 09/27/2026
SWE-bench VerifiedOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	77.4 %	Higher measured value93 %	Vals AI Source details Data as of: 09/01/2026
Tax Agent BenchOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	Higher measured value25.84 %	24.815 %	Vals AI Source details Data as of: 10/12/2026
TaxEval v2Overall Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	Higher measured value77.106 %	76.166 %	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 betterClaude Sonnet 4.6: Snapshot: Claude Sonnet 4.6 (Max), Reasoning: Max GPT-5.6 Luna: Snapshot: GPT-5.6 Luna (Max), Reasoning: MaxClaude Sonnet 4.6: Exact AA configuration: Claude Sonnet 4.6 (Max) (release claude-sonnet-4-6, row claude-sonnet-4-6-adaptive, UUID df8d14e0-3997-4e4d-b4ad-9c047acc9c69, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption.GPT-5.6 Luna: Exact AA configuration: GPT-5.6 Luna (Max) (release gpt-5-6-luna, row gpt-5-6-luna, UUID 426d24c8-49ae-482a-b4a8-20f1c53f21c1, reasoning=true, source reasoning-token configuration budget=0, suffix=Max). This configured value is not measured token consumption.	3.0%	Winner11.6%	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 betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	57.303 %	Higher measured value79.026 %	Vals AI Source details Data as of: 09/28/2026
Vals Multimodal IndexOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1.2Metric: weighted index scoreScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	60.571 %	Higher measured value69.058 %	Vals AI Source details Data as of: 08/11/2026
Vibe Code Bench v1.1Overall Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Harness: OpenHands, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Harness: OpenHands, Output limit: 128,000 tokens	51.476 %	Higher measured value77.055 %	Vals AI Source details Data as of: 10/12/2026
Code MigrationCLI Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	30.333 %	Higher measured value36.067 %	Vals AI Source details Data as of: 10/12/2026
CorpFin v2Exact Pages Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	63.17 %	Higher measured value63.52 %	Vals AI Source details Data as of: 08/12/2026
EMBComps Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	Higher measured value61.52 %	54.573 %	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 betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	48.92 %	Higher measured value52.027 %	Vals AI Source details Data as of: 10/12/2026
GPQA DiamondFew-Shot CoT Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	85.859 %	Higher measured value92.424 %	Vals AI Source details Data as of: 09/01/2026
Harvey's Legal Agent BenchmarkAntitrust Competition · Criteria passed Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	Higher measured value87.319 %	85.145 %	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 betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	43.939 %	Higher measured value48.485 %	Vals AI Source details Data as of: 10/12/2026
LegalBenchConclusion Tasks Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	87.991 %	Higher measured value88.864 %	Vals AI Source details Data as of: 10/13/2026
MMLU-ProBiology Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	92.748 %	Higher measured value93.305 %	Vals AI Source details Data as of: 09/01/2026
MortgageTaxNumerical Extraction Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	74.96 %	Higher measured value75.596 %	Vals AI Source details Data as of: 09/01/2026
ProgramBenchAlmost Resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: almost-resolved rateScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	2 %	Higher measured value9 %	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 betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 30,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 30,000 tokens	Higher measured value35.318 %	31.35 %	Vals AI Source details Data as of: 10/08/2026
SkillsBenchNo Skills Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Harness: OpenHands, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Harness: OpenHands, Output limit: 128,000 tokens	27.827 %	Higher measured value45.189 %	Vals AI Source details Data as of: 09/27/2026
SWE-bench Verified<15 min fix Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	87.113 %	Higher measured value96.392 %	Vals AI Source details Data as of: 09/01/2026
Tax Agent BenchControversy & Precedence Analysis Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	No direct winner10 %	No direct winner10 %	Vals AI Source details Data as of: 10/12/2026
TaxEval v2Correctness Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	65.822 %	Higher measured value66.558 %	Vals AI Source details Data as of: 09/01/2026
Terminal-Bench 2.1Easy Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	Higher measured value100 %	83.333 %	Vals AI Source details Data as of: 09/28/2026
Vals Multimodal IndexCorpFin v2 Test details Test setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	Higher measured value66.667 %	65.035 %	Vals AI Source details Data as of: 08/11/2026
Code MigrationCOBOL Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	68.571 %	Higher measured value70 %	Vals AI Source details Data as of: 10/12/2026
CorpFin v2Max Fitting Context Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	Higher measured value66.084 %	64.103 %	Vals AI Source details Data as of: 08/12/2026
EMBDataroom Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	78.493 %	Higher measured value83.009 %	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 betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	38.795 %	Higher measured value43.285 %	Vals AI Source details Data as of: 10/12/2026
GPQA DiamondZero-Shot CoT Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	85.354 %	Higher measured value90.909 %	Vals AI Source details Data as of: 09/01/2026
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 betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 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 betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	86.797 %	Higher measured value87.513 %	Vals AI Source details Data as of: 10/12/2026
LegalBenchInterpretation Tasks Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	Higher measured value82.469 %	82.142 %	Vals AI Source details Data as of: 10/13/2026
MMLU-ProBusiness Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	Higher measured value91.888 %	91.001 %	Vals AI Source details Data as of: 09/01/2026
MortgageTaxSemantic Extraction Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	Higher measured value60.493 %	58.983 %	Vals AI Source details Data as of: 09/01/2026
ProgramBenchFully Resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: fully resolved rateScoring: Higher is betterClaude Sonnet 4.6: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens	Higher measured value0.5 %	0 %	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: 43b8c5c46830

Claude Sonnet 4.6

GPT-5.6 Luna

Unavailable in this round

Earlier tests

Pelican on a bicycle

A community classic for free-form SVG drawing.

Claude Sonnet 4.6

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: anthropic/claude-sonnet-4.6
API model reported in response: anthropic/claude-sonnet-4.6
Reasoning setting: high
Pinned endpoint: Anthropic | anthropic/claude-4.6-sonnet-20260217
Temperature: Provider default
Token limit including reasoning: 8,192 tokens
Test protocol: community-visual-tests-v1
Technical checks: Failed
Response time: 106 s

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

Earlier attempts (2)

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

GPT-5.6 Luna

Reasoning (requested): high

Current attempt

Run date: Sep 7, 2026
API provider: openrouter
Requested API model: openai/gpt-5.6-luna
API model reported in response: openai/gpt-5.6-luna
Reasoning setting: high
Pinned endpoint: OpenAI | openai/gpt-5.6-luna-20260709
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: 49.9 s

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

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 Claude Sonnet 4.6 and GPT-5.6 Luna with other leading models using the same data and benchmark logic.

View the complete LLM comparison

Claude Sonnet 4.6 vs. GPT-5.6 Luna

Change model selection

General specifications

API pricing compared

Benchmark index compared

Shared benchmarks

Capability profile from matched benchmarks

Our tests

SVG short test

Claude Sonnet 4.6

GPT-5.6 Luna

Pelican on a bicycle

Winning one benchmark is not an overall verdict

Related LLM comparisons