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Head-to-head comparison

Claude Opus 5.5 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
194
distinct benchmarks
25
latest retrieval
2026-10-15

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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 Opus 5.5 and GPT-5.6 Luna
AttributeClaude Opus 5.5GPT-5.6 Luna
ProviderAnthropicOpenAI
ReleasedSep 22, 2026Jul 9, 2026
AvailabilityActiveActive
Model typeProprietaryProprietary
ParametersNot publishedNot published
ArchitectureNot publishedNot published
Context window1,000,000 tokens1,050,000 tokens
Knowledge cutoffJune 2026February 16, 2026
Technical sourcesModelModel, 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 Opus 5.5 and GPT-5.6 Luna
Price typeClaude Opus 5.5GPT-5.6 Luna
API input$4$0.2 ≤272K / $0.4 >272K
API output$20$1.2 ≤272K / $1.8 >272K
Cache read$0.2$0.02 ≤272K / $0.04 >272K
Cache write (5 min.)$5$0.25 ≤272K / $0.5 >272K
Cache write (1 hr.)$8Not listed
Price verified09/22/2026 Source09/22/2026 Source
Claude Opus 5.5GPT-5.6 Luna
API inputUSD per 1M tokens, base tier
Claude Opus 5.5$4
GPT-5.6 LunaLower price$0.2
API outputUSD per 1M tokens, base tier
Claude Opus 5.5$20
GPT-5.6 LunaLower price$1.2
Cache readUSD per 1M tokens, base tier
Claude Opus 5.5$0.2
GPT-5.6 LunaLower price$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 Opus 5.5 and GPT-5.6 Luna
ModelProviderPurchase route and tariffInput per 1M tokensOutput per 1M tokensSource
Claude Opus 5.5AnthropicDirect from developerStandard APILowest listed price: $4Lowest listed price: $20Source09/22/2026
Amazon BedrockVia OpenRouteramazon-bedrockLowest listed price: $4Lowest listed price: $20Source10/17/2026
Amazon BedrockVia OpenRouteramazon-bedrock/eu-west-1$4.4$22Source10/17/2026
Amazon BedrockVia OpenRouteramazon-bedrock/us-east-1$4.4$22Source10/17/2026
AnthropicVia OpenRouteranthropicLowest listed price: $4Lowest listed price: $20Source10/17/2026
AnthropicVia OpenRouteranthropic/fast$8$40Source10/17/2026
AzureVia OpenRouterazure/globalLowest listed price: $4Lowest listed price: $20Source10/17/2026
AzureVia OpenRouterazure/us$4.4$22Source10/17/2026
Claude Platform on AWSVia OpenRouterclaude-on-awsLowest listed price: $4Lowest listed price: $20Source10/17/2026
GoogleVia OpenRoutergoogle-vertex/europe$4.4$22Source10/17/2026
GoogleVia OpenRoutergoogle-vertex/globalLowest listed price: $4Lowest listed price: $20Source10/17/2026
GoogleVia OpenRoutergoogle-vertex/us$4.4$22Source10/17/2026
GPT-5.6 LunaOpenAIDirect from developerUp to 272,000 context tokens$0.2$1.2Source09/22/2026
OpenAIDirect from developerAbove 272,000 context tokens$0.4$1.8Source09/22/2026
Amazon BedrockVia OpenRouteramazon-bedrock/us-east-1$0.22$1.32Source10/17/2026
AzureVia OpenRouterazure$0.2$1.2Source10/17/2026
AzureVia OpenRouterazure/eu$0.22$1.32Source10/17/2026
AzureVia OpenRouterazure/us$0.22$1.32Source10/17/2026
OpenAIVia OpenRouteropenai$0.2$1.2Source10/17/2026
OpenAIVia OpenRouteropenai/fast$0.4$2.4Source10/17/2026
OpenAIVia OpenRouteropenai/flexLowest listed price: $0.1Lowest listed price: $0.6Source10/17/2026

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.

Not enough directly matched categories for a reliable radar

Only 0 of at least 5 categories have comparable, direct model measurements. The benchmark tables below show the available evidence without filling missing axes.

Claude Opus 5.5GPT-5.6 Luna
BioMysteryBenchOverall. Higher is better. Test setup not documented as identical
Claude Opus 5.5Higher measured value79.259 %
GPT-5.6 Luna61.481 %
Code MigrationOverall. Higher is better. Test setup not documented as identical
Claude Opus 5.5Higher measured value66.646 %
GPT-5.6 Luna44.55 %
CyberBench v1.1Overall. Higher is better. Test setup not documented as identical
Claude Opus 5.555.357 %
GPT-5.6 LunaHigher measured value73.631 %
EMBOverall. Higher is better. Test setup not documented as identical
Claude Opus 5.5Higher measured value75.938 %
GPT-5.6 Luna67.116 %
Finance Agent (v2)Overall. Higher is better. Test setup not documented as identical
Claude Opus 5.5Higher measured value58.587 %
GPT-5.6 Luna55.044 %
Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. Test setup not documented as identical
Claude Opus 5.5Higher measured value3.75 %
GPT-5.6 Luna1.25 %
IOIOverall. Higher is better. Test setup not documented as identical
Claude Opus 5.5Higher measured value95.056 %
GPT-5.6 Luna61.778 %
Legal Research BenchOverall · All-pass. Higher is better. Test setup not documented as identical
Claude Opus 5.5Higher measured value50.481 %
GPT-5.6 Luna36.538 %
LMArena Text, Style ControlOverall. Higher is better. Test setup not documented as identical
Claude Opus 5.5Higher measured value1,508.083
GPT-5.6 Luna1,452.509
LMArena Vision, Style ControlOverall. Higher is better. Test setup not documented as identical
Claude Opus 5.5Higher measured value1,292.688
GPT-5.6 Luna1,257.662
MedCodeOverall. Higher is better. Test setup not documented as identical
Claude Opus 5.5Higher measured value49.797 %
GPT-5.6 Luna42.391 %
MedScribeOverall. Higher is better. Test setup not documented as identical
Claude Opus 5.5Higher measured value91.43 %
GPT-5.6 Luna84.391 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Claude Opus 5.5 and GPT-5.6 Luna
Benchmark and taskClaude Opus 5.5GPT-5.6 LunaSource
BioMysteryBenchOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 5.5: Compute: max, Harness: Terminus 2, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Harness: Terminus 2, Output limit: 128,000 tokens
Higher measured value79.259 %
61.481 %
Vals AI
Source details
Data as of: 10/12/2026
Code MigrationOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value66.646 %
44.55 %
Vals AI
Source details
Data as of: 10/12/2026
CyberBench v1.1Overall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
55.357 %
Higher measured value73.631 %
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 betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value75.938 %
67.116 %
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 Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value58.587 %
55.044 %
Vals AI
Source details
Data as of: 10/12/2026
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 Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value3.75 %
1.25 %
Vals AI
Source details
Data as of: 10/12/2026
IOIOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value95.056 %
61.778 %
Vals AI
Source details
Data as of: 10/14/2026
Legal Research BenchOverall · All-pass
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value50.481 %
36.538 %
Vals AI
Source details
Data as of: 10/12/2026
LMArena Text, Style ControlOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Opus 5.5: Snapshot: claude-opus-5.5-high, Reasoning: high, Harness: Arena Text, style control
GPT-5.6 Luna: Snapshot: gpt-5.6-luna-xhigh, Reasoning: xhigh, Harness: Arena Text, style control
Claude Opus 5.5: Arena rating from 7,687 published pairwise votes.GPT-5.6 Luna: Arena rating from 41,103 published pairwise votes.
Higher measured value1,508.083
95% confidence interval: ±7.535The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
1,452.509
95% confidence interval: ±4.306The 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 betterClaude Opus 5.5: Snapshot: claude-opus-5.5-high, Reasoning: high, Harness: Arena Vision, style control
GPT-5.6 Luna: Snapshot: gpt-5.6-luna-xhigh, Reasoning: xhigh, Harness: Arena Vision, style control
Claude Opus 5.5: Arena rating from 2,508 published pairwise votes.GPT-5.6 Luna: Arena rating from 11,086 published pairwise votes.
Higher measured value1,292.688
95% confidence interval: ±12.73The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
1,257.662
95% confidence interval: ±7.463The 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 betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 30,000 tokens
Higher measured value49.797 %
42.391 %
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 betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 30,000 tokens
Higher measured value91.43 %
84.391 %
Vals AI
Source details
Data as of: 10/13/2026
MysteryMechanismOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value49.55 %
14.414 %
Vals AI
Source details
Data as of: 10/12/2026
ProgramBenchOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: fully resolved rateScoring: Higher is betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value18.5 %
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 betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value100 %
60 %
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 Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value70.636 %
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 Opus 5.5: Compute: max, Temperature: 1, Output limit: 30,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 30,000 tokens
Higher measured value45.831 %
44.22 %
Vals AI
Source details
Data as of: 10/08/2026
SRE BenchOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: fully solved rateScoring: Higher is betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value33.588 %
1.527 %
Vals AI
Source details
Data as of: 10/14/2026
Tax Agent BenchOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value45.573 %
24.815 %
Vals AI
Source details
Data as of: 10/12/2026
Terminal-Bench 2.1Overall
Test details
Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterClaude Opus 5.5: Compute: high, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value87.64 %
79.026 %
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 betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value65.152 %
11.616 %
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 betterClaude Opus 5.5: Compute: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Harness: Mini-SWE-agent, Output limit: 128,000 tokens
Higher measured value47.143 %
0 %
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 betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value66.972 %
51.687 %
Vals AI
Source details
Data as of: 10/13/2026
Vibe Code Bench 1-100Overall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.0Metric: accuracyScoring: Higher is betterClaude Opus 5.5: Compute: xhigh, Harness: OpenHands, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Harness: OpenHands, Output limit: 128,000 tokens
Higher measured value30.361 %
22.594 %
Vals AI
Source details
Data as of: 10/14/2026
Vibe Code Bench v1.1Overall
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterClaude Opus 5.5: Compute: max, Harness: OpenHands, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Harness: OpenHands, Output limit: 128,000 tokens
Higher measured value90.294 %
77.055 %
Vals AI
Source details
Data as of: 10/12/2026
BioMysteryBenchHard
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 5.5: Compute: max, Harness: Terminus 2, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Harness: Terminus 2, Output limit: 128,000 tokens
Higher measured value47.059 %
27.451 %
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 Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value65.528 %
36.067 %
Vals AI
Source details
Data as of: 10/12/2026
CyberBench v1.1Patch
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value85.714 %
83.929 %
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 betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value76.405 %
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 Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value54.528 %
52.027 %
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 betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
82.246 %
Higher measured value85.145 %
Vals AI
Source details
Data as of: 10/12/2026
IOIIOI 2024
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value100 %
85 %
Vals AI
Source details
Data as of: 10/14/2026
Legal Research BenchAdministrative / Regulatory · All-pass
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value65.152 %
48.485 %
Vals AI
Source details
Data as of: 10/12/2026
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 betterClaude Opus 5.5: Snapshot: claude-opus-5.5-high, Reasoning: high, Harness: Arena Text, style control
GPT-5.6 Luna: Snapshot: gpt-5.6-luna-xhigh, Reasoning: xhigh, Harness: Arena Text, style control
Claude Opus 5.5: Arena rating from 1,370 published pairwise votes.GPT-5.6 Luna: Arena rating from 7,709 published pairwise votes.
Higher measured value1,492.054
95% confidence interval: ±16.446The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
1,461.658
95% confidence interval: ±7.593The 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 ControlCreative writing vision
Test details
Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Opus 5.5: Snapshot: claude-opus-5.5-high, Reasoning: high, Harness: Arena Vision, style control
GPT-5.6 Luna: Snapshot: gpt-5.6-luna-xhigh, Reasoning: xhigh, Harness: Arena Vision, style control
Claude Opus 5.5: Arena rating from 219 published pairwise votes.GPT-5.6 Luna: Arena rating from 969 published pairwise votes.
Higher measured value1,301.035
95% confidence interval: ±42.823The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
1,258.178
95% confidence interval: ±20.085The 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
ProgramBenchAlmost Resolved
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: almost-resolved rateScoring: Higher is betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value65 %
9 %
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 Opus 5.5: Compute: max, Temperature: 1, Output limit: 30,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 30,000 tokens
Higher measured value32.54 %
31.35 %
Vals AI
Source details
Data as of: 10/08/2026
SRE BenchCapability Score
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: capability scoreScoring: Higher is betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value53.562 %
6.361 %
Vals AI
Source details
Data as of: 10/14/2026
Tax Agent BenchControversy & Precedence Analysis
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value30 %
10 %
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 betterClaude Opus 5.5: Compute: high, 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
Terminal-Bench 4.0Hardware
Test details
Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value60 %
0 %
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 betterClaude Opus 5.5: Compute: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Harness: Mini-SWE-agent, Output limit: 128,000 tokens
Higher measured value37.5 %
0 %
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 betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value68.901 %
44.774 %
Vals AI
Source details
Data as of: 10/13/2026
BioMysteryBenchHuman-solvable
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 5.5: Compute: max, Harness: Terminus 2, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Harness: Terminus 2, Output limit: 128,000 tokens
Higher measured value86.758 %
69.406 %
Vals AI
Source details
Data as of: 10/12/2026
Code MigrationCOBOL
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
No direct winner70 %
No direct winner70 %
Vals AI
Source details
Data as of: 10/12/2026
CyberBench v1.1PoC
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
25 %
Higher measured value63.333 %
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 betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value84.873 %
83.009 %
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 Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value48.111 %
43.285 %
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 betterClaude Opus 5.5: 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
IOIIOI 2025
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value100 %
49.833 %
Vals AI
Source details
Data as of: 10/14/2026
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 Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
85.427 %
Higher measured value87.513 %
Vals AI
Source details
Data as of: 10/12/2026
LMArena Text, Style ControlChinese
Test details
Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Opus 5.5: Snapshot: claude-opus-5.5-high, Reasoning: high, Harness: Arena Text, style control
GPT-5.6 Luna: Snapshot: gpt-5.6-luna-xhigh, Reasoning: xhigh, Harness: Arena Text, style control
Claude Opus 5.5: Arena rating from 704 published pairwise votes.GPT-5.6 Luna: Arena rating from 3,212 published pairwise votes.
Higher measured value1,574.432
95% confidence interval: ±22.751The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
1,476.812
95% confidence interval: ±11.28The 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 ControlDiagram
Test details
Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Opus 5.5: Snapshot: claude-opus-5.5-high, Reasoning: high, Harness: Arena Vision, style control
GPT-5.6 Luna: Snapshot: gpt-5.6-luna-xhigh, Reasoning: xhigh, Harness: Arena Vision, style control
Claude Opus 5.5: Arena rating from 589 published pairwise votes.GPT-5.6 Luna: Arena rating from 2,783 published pairwise votes.
Higher measured value1,324.12
95% confidence interval: ±25.101The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.
1,279.537
95% confidence interval: ±11.779The 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 betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value18.5 %
0 %
Vals AI
Source details
Data as of: 10/12/2026
SAGECalculus
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 30,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 30,000 tokens
Higher measured value83.642 %
64.506 %
Vals AI
Source details
Data as of: 10/08/2026
SRE BenchFully Solved
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: fully solved rateScoring: Higher is betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value33.588 %
1.527 %
Vals AI
Source details
Data as of: 10/14/2026
Tax Agent BenchControversy & Precedence Analysis
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value66.871 %
61.219 %
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 betterClaude Opus 5.5: Compute: high, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value81.111 %
70 %
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 betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value75 %
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 betterClaude Opus 5.5: Compute: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Harness: Mini-SWE-agent, Output limit: 128,000 tokens
Higher measured value22.222 %
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 betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value75.938 %
67.116 %
Vals AI
Source details
Data as of: 10/13/2026
Code MigrationCode Quality
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: mean reviewer code-quality ratingScoring: Higher is betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value4.541 / 5
3.195 / 5
Vals AI
Source details
Data as of: 10/12/2026
EMBDCF
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Higher measured value70.139 %
60.482 %
Vals AI
Source details
Data as of: 10/12/2026
Finance Agent (v2)Comparables
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Opus 5.5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
45.756 %
Higher measured value48.285 %
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

Claude Opus 5.5

Unavailable in this round

GPT-5.6 Luna

Unavailable in this round

Earlier tests

Pelican on a bicycle

A community classic for free-form SVG drawing.

Claude Opus 5.5

Claude Opus 5.5: Pelican on a bicycle
A community classic for free-form SVG drawing.

Reasoning (requested): high

Current attempt
Run date
Oct 1, 2026
API provider
openrouter
Requested API model
anthropic/claude-opus-5.5
API model reported in response
anthropic/claude-opus-5.5
Reasoning setting
high
Pinned endpoint
Anthropic | anthropic/claude-opus-5.5-20260921
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
33.2 s

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

GPT-5.6 Luna

GPT-5.6 Luna: Pelican on a bicycle
A community classic for free-form SVG drawing.

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 Opus 5.5 and GPT-5.6 Luna with other leading models using the same data and benchmark logic.

View the complete LLM comparison