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Head-to-head comparison

GPT-5.6 Luna vs. Gemini 3.6 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
197
distinct benchmarks
25
latest retrieval
2026-09-04

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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 GPT-5.6 Luna and Gemini 3.6 Flash
AttributeGPT-5.6 LunaGemini 3.6 Flash
ProviderOpenAIGoogle
ReleasedJul 9, 2026Jul 21, 2026
AvailabilityActiveActive
Model typeProprietaryProprietary
ParametersNot publishedNot published
ArchitectureNot publishedNot published
Context window1,050,000 tokens1,048,576 tokens
Knowledge cutoffFebruary 16, 2026Not published
Technical sourcesModel, Context, Knowledge cutoffModel

Pricing

API pricing compared

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

API pricing for GPT-5.6 Luna and Gemini 3.6 Flash
Price typeGPT-5.6 LunaGemini 3.6 Flash
API input$0.2 ≤272K / $0.4 >272K$0.75
API output$1.2 ≤272K / $1.8 >272K$3.75
Cache read$0.02 ≤272K / $0.04 >272K$0.07
Cache write (5 min.)$0.25 ≤272K / $0.5 >272KNot listed
Cache write (1 hr.)Not listedNot listed
Price verified08/11/2026 Source08/16/2026 Source
GPT-5.6 LunaGemini 3.6 Flash
API inputUSD per 1M tokens, base tier
GPT-5.6 LunaLower price$0.2
Gemini 3.6 Flash$0.75
API outputUSD per 1M tokens, base tier
GPT-5.6 LunaLower price$1.2
Gemini 3.6 Flash$3.75
Cache readUSD per 1M tokens, base tier
GPT-5.6 LunaLower price$0.02
Gemini 3.6 Flash$0.075

Key to the marks:better valuebetter, but not conclusivetie

Pricing by provider

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

Provider pricing for GPT-5.6 Luna and Gemini 3.6 Flash
ModelProviderPurchase route and tariffInput per 1M tokensOutput per 1M tokensSource
GPT-5.6 LunaOpenAIDirect from developerUp to 272,000 context tokens$0.2$1.2Source08/11/2026
OpenAIDirect from developerAbove 272,000 context tokens$0.4$1.8Source08/11/2026
Amazon BedrockVia OpenRouteramazon-bedrock/us-east-1$0.22$1.32Source09/08/2026
AzureVia OpenRouterazure$0.2$1.2Source09/08/2026
AzureVia OpenRouterazure/eu$0.22$1.32Source09/08/2026
AzureVia OpenRouterazure/us$0.22$1.32Source09/08/2026
OpenAIVia OpenRouteropenai$0.2$1.2Source09/08/2026
OpenAIVia OpenRouteropenai/fast$0.4$2.4Source09/08/2026
OpenAIVia OpenRouteropenai/flexLowest listed price: $0.1Lowest listed price: $0.6Source09/08/2026
Gemini 3.6 FlashGoogleDirect from developerStandard API$0.75$3.75Source08/16/2026
GoogleVia OpenRoutergoogle-vertex/global$0.75$3.75Source09/08/2026
GoogleVia OpenRoutergoogle-vertex/global/flexLowest listed price: $0.375Lowest listed price: $1.875Source09/08/2026
GoogleVia OpenRoutergoogle-vertex/global/priority$1.35$6.75Source09/08/2026
GoogleVia OpenRoutergoogle-vertex/us$0.825$4.125Source09/08/2026
Google AI StudioVia OpenRoutergoogle-ai-studio$0.75$3.75Source09/08/2026
Google AI StudioVia OpenRoutergoogle-ai-studio/flexLowest listed price: $0.375Lowest listed price: $1.875Source09/08/2026
Google AI StudioVia OpenRoutergoogle-ai-studio/priority$1.35$6.75Source09/08/2026

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.

255075100CodingReasoningKnowledgeFinanceLegalAgentic tasksMultimodalProductivity
GPT-5.6 Luna
Gemini 3.6 Flash
Coding: 100 / 84.5 (4 benchmark families)
Reasoning: 98.1 / 100 (1 benchmark family)
Knowledge: 96.4 / 100 (1 benchmark family)
Finance: 99.5 / 98.9 (5 benchmark families)
Legal: 78.1 / 89.5 (3 benchmark families)
Agentic tasks: 100 / 93.4 (1 benchmark family)
Multimodal: 96.2 / 100 (1 benchmark family)
Productivity: 100 / 92.5 (1 benchmark family)

26 matched rows from 24 benchmark families were considered. The radar shows 8 of 12 comparable categories.

GPT-5.6 LunaGemini 3.6 Flash
BioMysteryBenchOverall. Higher is better. No documented setup difference
GPT-5.6 LunaWinner61.481 %
Gemini 3.6 Flash58.519 %
Code MigrationOverall. Higher is better. No documented setup difference
GPT-5.6 LunaWinner44.55 %
Gemini 3.6 Flash30.928 %
CorpFin v2Overall. Higher is better. No documented setup difference
GPT-5.6 LunaWinner64.219 %
Gemini 3.6 Flash63.326 %
CyberBenchOverall. Higher is better. No documented setup difference
GPT-5.6 LunaWinner83.898 %
Gemini 3.6 Flash48.514 %
EMBOverall. Higher is better. No documented setup difference
GPT-5.6 LunaWinner67.116 %
Gemini 3.6 Flash65.411 %
Finance Agent (v2)Overall. Higher is better. No documented setup difference
GPT-5.6 Luna55.044 %
Gemini 3.6 FlashWinner56.296 %
GPQA DiamondOverall. Higher is better. No documented setup difference
GPT-5.6 Luna91.666 %
Gemini 3.6 FlashWinner93.434 %
Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. No documented setup difference
GPT-5.6 Luna1.25 %
Gemini 3.6 FlashWinner3.333 %
Legal Research BenchOverall · All-pass. Higher is better. No documented setup difference
GPT-5.6 LunaWinner36.538 %
Gemini 3.6 Flash25 %
LegalBenchOverall. Higher is better. No documented setup difference
GPT-5.6 Luna84.034 %
Gemini 3.6 FlashWinner86.705 %
LMArena Text, Style ControlOverall. Higher is better. Test setup not documented as identical
GPT-5.6 Luna1,452.364
Gemini 3.6 FlashHigher measured value1,480.192
MedCodeOverall. Higher is better. No documented setup difference
GPT-5.6 Luna42.391 %
Gemini 3.6 FlashWinner53.153 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for GPT-5.6 Luna and Gemini 3.6 Flash
Benchmark and taskGPT-5.6 LunaGemini 3.6 FlashSource
BioMysteryBenchOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Harness: Terminus 2
Winner61.481 %
58.519 %
Vals AI
Source details
Data as of: 09/02/2026
Code MigrationOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner44.55 %
30.928 %
Vals AI
Source details
Data as of: 09/03/2026
CorpFin v2Overall
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better
Winner64.219 %
63.326 %
Vals AI
Source details
Data as of: 08/12/2026
CyberBenchOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner83.898 %
48.514 %
Vals AI
Source details
Data as of: 09/01/2026
EMBOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner67.116 %
65.411 %
Vals AI
Source details
Data as of: 09/03/2026
Finance Agent (v2)Overall
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better
55.044 %
Winner56.296 %
Vals AI
Source details
Data as of: 09/03/2026
GPQA DiamondOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
91.666 %
Winner93.434 %
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 better
1.25 %
Winner3.333 %
Vals AI
Source details
Data as of: 09/03/2026
Legal Research BenchOverall · All-pass
Test details
No documented difference in the test setupVersion: 1Metric: all-pass rateScoring: Higher is better
Winner36.538 %
25 %
Vals AI
Source details
Data as of: 09/03/2026
LegalBenchOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
84.034 %
Winner86.705 %
Vals AI
Source details
Data as of: 09/01/2026
LMArena Text, Style ControlOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGPT-5.6 Luna: Snapshot: gpt-5.6-luna-xhigh, Reasoning: xhigh, Harness: Arena text, style control
Gemini 3.6 Flash: Snapshot: gemini-3.6-flash-high, Reasoning: high, Harness: Arena text, style control
GPT-5.6 Luna: Style-controlled Arena rating from 24,433 anonymous pairwise votes.Gemini 3.6 Flash: Style-controlled Arena rating from 22,009 anonymous pairwise votes.
1,452.364
95% confidence interval: ±5.03The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
Higher measured value1,480.192
95% confidence interval: ±5.12The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
LMArena
Source details
Data as of: 09/01/2026
MedCodeOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
42.391 %
Winner53.153 %
Vals AI
Source details
Data as of: 09/03/2026
MedScribeOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner84.391 %
79.661 %
Vals AI
Source details
Data as of: 09/03/2026
MMLU-ProOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
86.036 %
Winner89.276 %
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 better
85.029 %
Winner88.382 %
Vals AI
Source details
Data as of: 09/01/2026
MortgageTaxOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
67.29 %
Winner67.608 %
Vals AI
Source details
Data as of: 09/01/2026
ProgramBenchOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Tie0 %
Tie0 %
Vals AI
Source details
Data as of: 09/01/2026
Public Benefits Bench v1.1Overall
Test details
No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is better
Winner61.164 %
56.563 %
Vals AI
Source details
Data as of: 09/01/2026
SAGEOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
44.22 %
Winner48.686 %
Vals AI
Source details
Data as of: 09/03/2026
SWE-bench VerifiedOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner93 %
79.6 %
Vals AI
Source details
Data as of: 09/01/2026
TaxEval v2Overall
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better
Winner76.166 %
74.857 %
Vals AI
Source details
Data as of: 09/01/2026
Terminal-Bench 2.1Overall
Test details
No documented difference in the test setupVersion: 2.1Metric: accuracyScoring: Higher is better
Winner79.026 %
73.783 %
Vals AI
Source details
Data as of: 09/03/2026
Vals IndexOverall
Test details
No documented difference in the test setupVersion: 2Metric: weighted index scoreScoring: Higher is better
Winner59.881 %
55.354 %
Vals AI
Source details
Data as of: 09/03/2026
Vals Multimodal IndexOverall
Test details
No documented difference in the test setupVersion: 1.2Metric: weighted index scoreScoring: Higher is better
Winner69.058 %
65.077 %
Vals AI
Source details
Data as of: 08/11/2026
Vibe Code Bench v1.1Overall
Test details
No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Harness: OpenHands
Winner77.055 %
64.005 %
Vals AI
Source details
Data as of: 09/03/2026
Code MigrationCLI
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value36.067 %
19.332 %
Vals AI
Source details
Data as of: 08/09/2026
CorpFin v2Exact Pages
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value63.52 %
61.072 %
Vals AI
Source details
Data as of: 08/06/2026
CyberBenchPatch
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
79.661 %
Higher measured value84.746 %
Vals AI
Source details
Data as of: 08/03/2026
EMBComps
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
54.573 %
Higher measured value70.019 %
Vals AI
Source details
Data as of: 08/06/2026
Finance Agent (v2)Adjustments
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
52.027 %
Higher measured value53.608 %
Vals AI
Source details
Data as of: 08/06/2026
GPQA DiamondFew-Shot CoT
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
No direct winner92.424 %
No direct winner92.424 %
Vals AI
Source details
Data as of: 08/09/2026
Harvey's Legal Agent BenchmarkAntitrust Competition · Criteria passed
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value85.145 %
79.71 %
Vals AI
Source details
Data as of: 08/07/2026
Legal Research BenchAdministrative / Regulatory · All-pass
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value48.485 %
31.818 %
Vals AI
Source details
Data as of: 08/06/2026
LegalBenchConclusion Tasks
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
88.864 %
Higher measured value91.081 %
Vals AI
Source details
Data as of: 08/09/2026
LMArena Text, Style ControlBusiness, management and finance
Test details
Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGPT-5.6 Luna: Snapshot: gpt-5.6-luna-xhigh, Reasoning: xhigh, Harness: Arena text, style control
Gemini 3.6 Flash: Snapshot: gemini-3.6-flash-high, Reasoning: high, Harness: Arena text, style control
GPT-5.6 Luna: Style-controlled Arena rating from 4,691 anonymous pairwise votes.Gemini 3.6 Flash: Style-controlled Arena rating from 4,278 anonymous pairwise votes.
1,461.709
95% confidence interval: ±9.371The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
Higher measured value1,477.825
95% confidence interval: ±9.689The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
LMArena
Source details
Data as of: 09/01/2026
MMLU-ProBiology
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
93.305 %
Higher measured value94.7 %
Vals AI
Source details
Data as of: 08/09/2026
MortgageTaxNumerical Extraction
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
75.596 %
Higher measured value76.789 %
Vals AI
Source details
Data as of: 08/09/2026
ProgramBenchAlmost Resolved
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value9 %
2.5 %
Vals AI
Source details
Data as of: 08/09/2026
SAGEAutomata
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 30,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens
31.35 %
Higher measured value34.92 %
Vals AI
Source details
Data as of: 08/09/2026
SWE-bench Verified<15 min fix
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value96.392 %
87.113 %
Vals AI
Source details
Data as of: 08/08/2026
TaxEval v2Correctness
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value66.558 %
63.532 %
Vals AI
Source details
Data as of: 08/09/2026
Terminal-Bench 2.1Easy
Test details
Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
83.333 %
Higher measured value100 %
Vals AI
Source details
Data as of: 08/06/2026
Vals IndexCorpFin v2
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value65.035 %
63.52 %
Vals AI
Source details
Data as of: 08/09/2026
Vals Multimodal IndexCorpFin v2
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value65.035 %
63.52 %
Vals AI
Source details
Data as of: 08/09/2026
Code MigrationCOBOL
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value70 %
65.714 %
Vals AI
Source details
Data as of: 08/09/2026
CorpFin v2Max Fitting Context
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
64.103 %
Higher measured value65.385 %
Vals AI
Source details
Data as of: 08/06/2026
CyberBenchPoC
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value88.136 %
12.281 %
Vals AI
Source details
Data as of: 08/03/2026
EMBDataroom
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value83.009 %
72.965 %
Vals AI
Source details
Data as of: 08/06/2026
Finance Agent (v2)All-Pass
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
43.285 %
Higher measured value44.634 %
Vals AI
Source details
Data as of: 08/06/2026
GPQA DiamondZero-Shot CoT
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
90.909 %
Higher measured value94.444 %
Vals AI
Source details
Data as of: 08/09/2026
Harvey's Legal Agent BenchmarkAntitrust Competition · Task fully resolved
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
No direct winner0 %
No direct winner0 %
Vals AI
Source details
Data as of: 08/07/2026
Legal Research BenchAdministrative / Regulatory · Weighted partial credit
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value87.513 %
83.517 %
Vals AI
Source details
Data as of: 08/06/2026
LegalBenchInterpretation Tasks
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
82.142 %
Higher measured value83.894 %
Vals AI
Source details
Data as of: 08/09/2026
LMArena Text, Style ControlChinese
Test details
Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGPT-5.6 Luna: Snapshot: gpt-5.6-luna-xhigh, Reasoning: xhigh, Harness: Arena text, style control
Gemini 3.6 Flash: Snapshot: gemini-3.6-flash-high, Reasoning: high, Harness: Arena text, style control
GPT-5.6 Luna: Style-controlled Arena rating from 1,691 anonymous pairwise votes.Gemini 3.6 Flash: Style-controlled Arena rating from 1,402 anonymous pairwise votes.
1,474.185
95% confidence interval: ±15.484The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
Higher measured value1,536.451
95% confidence interval: ±16.413The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
LMArena
Source details
Data as of: 09/01/2026
MMLU-ProBusiness
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
91.001 %
Higher measured value92.776 %
Vals AI
Source details
Data as of: 08/09/2026
MortgageTaxSemantic Extraction
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value58.983 %
58.426 %
Vals AI
Source details
Data as of: 08/09/2026
ProgramBenchFully Resolved
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
No direct winner0 %
No direct winner0 %
Vals AI
Source details
Data as of: 08/09/2026
SAGECalculus
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 30,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens
64.506 %
Higher measured value75.309 %
Vals AI
Source details
Data as of: 08/09/2026
SWE-bench Verified>4 hours
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value66.667 %
33.333 %
Vals AI
Source details
Data as of: 08/08/2026
TaxEval v2Stepwise Reasoning
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
85.773 %
Higher measured value86.182 %
Vals AI
Source details
Data as of: 08/09/2026
Terminal-Bench 2.1Hard
Test details
Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value70 %
64.444 %
Vals AI
Source details
Data as of: 08/06/2026
Vals IndexFinance Agent v2
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value55.555 %
55.302 %
Vals AI
Source details
Data as of: 08/09/2026
Vals Multimodal IndexFinance Agent v2
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
Higher measured value55.555 %
55.302 %
Vals AI
Source details
Data as of: 08/09/2026
Code MigrationCode Quality
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: mean reviewer code-quality ratingScoring: Higher is betterGPT-5.6 Luna: Reasoning: max, Output limit: 128,000 tokens
Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens
3.195 / 5
Higher measured value3.299 / 5
Vals AI
Source details
Data as of: 08/09/2026

Key to the marks:better valuebetter, but not conclusivetie

Our model tests

Community tests you can inspect

Compare how the models respond to the same prompt. Each test shows the first attempt, with no subsequent fixes to the generated code. These results do not contribute to an overall score.

Pelican on a bicycle

A community classic for free-form SVG drawing.

GPT-5.6 Luna

GPT-5.6 Luna: Pelican on a bicycle
A community classic for free-form SVG drawing.
First attempt
Run date
7 Sept 2026
API provider
openrouter
Requested API model
openai/gpt-5.6-luna
API model reported in response
openai/gpt-5.6-luna
Pinned endpoint
OpenAI | openai/gpt-5.6-luna-20260709
Reasoning setting
high
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.

Gemini 3.6 Flash

API access was unavailable for this run. The model was not evaluated.

First attempt
Run date
7 Sept 2026
API provider
openrouter
Requested API model
google/gemini-3.6-flash
Pinned endpoint
Google AI Studio | google/gemini-3.6-flash-20260721
Reasoning setting
high
Temperature
Provider default
Token limit including reasoning
8,192 tokens
Test protocol
community-visual-tests-v1
Technical checks
Not run

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

Prompt and test conditions

Generate an SVG of a pelican riding a bicycle

Token limit including reasoning: 8,192 tokens

Task origin (Simon Willison)

How to read this comparison

Winning one benchmark is not an overall verdict

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

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

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

More matchups

Compare GPT-5.6 Luna and Gemini 3.6 Flash with other leading models using the same data and benchmark logic.

View the complete LLM comparison