Head-to-head comparison
GPT-5.6 Sol 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
- 201
- distinct benchmarks
- 26
- latest retrieval
- 2026-09-04
Change model selection
Specifications
General specifications
Release date, availability, context window, architecture, and published parameter counts at a glance. Undisclosed details remain marked as unavailable.
| Attribute | GPT-5.6 Sol | Gemini 3.6 Flash |
|---|---|---|
| Provider | OpenAI | |
| Released | Jun 26, 2026 | Jul 21, 2026 |
| Availability | Active | Active |
| Model type | Proprietary | Proprietary |
| Parameters | Not published | Not published |
| Architecture | Not published | Not published |
| Context window | 1,050,000 tokens | 1,048,576 tokens |
| Knowledge cutoff | February 16, 2026 | Not published |
| Technical sources | Model, Context, Knowledge cutoff | Model |
Pricing
API pricing compared
The table compares official standard API rates per 1M tokens, including published cache pricing. Batch, fast, priority, regional surcharges, tool calls, and cloud platform pricing are excluded.
| Price type | GPT-5.6 Sol | Gemini 3.6 Flash |
|---|---|---|
| API input | $4 ≤272K / $8 >272K | $0.75 |
| API output | $20 ≤272K / $30 >272K | $3.75 |
| Cache read | $0.4 ≤272K / $0.8 >272K | $0.07 |
| Cache write (5 min.) | $5 ≤272K / $10 >272K | Not listed |
| Cache write (1 hr.) | Not listed | Not listed |
| Price verified | 08/24/2026 Source | 08/16/2026 Source |
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.
| Model | Provider | Purchase route and tariff | Input per 1M tokens | Output per 1M tokens | Source |
|---|---|---|---|---|---|
| GPT-5.6 Sol | OpenAI | Direct from developerUp to 272,000 context tokens | $4 | $20 | Source08/24/2026 |
| OpenAI | Direct from developerAbove 272,000 context tokens | $8 | $30 | Source08/24/2026 | |
| Amazon Bedrock | Via OpenRouteramazon-bedrock/us-east-1 | $4.4 | $22 | Source09/06/2026 | |
| Azure | Via OpenRouterazure | $5 | $30 | Source09/06/2026 | |
| Azure | Via OpenRouterazure/eu | $5.5 | $33 | Source09/06/2026 | |
| Azure | Via OpenRouterazure/us | $5.5 | $33 | Source09/06/2026 | |
| OpenAI | Via OpenRouteropenai | $2 | $10 | Source09/06/2026 | |
| OpenAI | Via OpenRouteropenai/fast | $4 | $20 | Source09/06/2026 | |
| OpenAI | Via OpenRouteropenai/flex | Lowest listed price: $1 | Lowest listed price: $5 | Source09/06/2026 | |
| Gemini 3.6 Flash | Direct from developerStandard API | $0.75 | $3.75 | Source08/16/2026 | |
| Via OpenRoutergoogle-vertex/global | $0.75 | $3.75 | Source09/06/2026 | ||
| Via OpenRoutergoogle-vertex/global/flex | Lowest listed price: $0.375 | Lowest listed price: $1.875 | Source09/06/2026 | ||
| Via OpenRoutergoogle-vertex/global/priority | $1.35 | $6.75 | Source09/06/2026 | ||
| Via OpenRoutergoogle-vertex/us | $0.825 | $4.125 | Source09/06/2026 | ||
| Google AI Studio | Via OpenRoutergoogle-ai-studio | $0.75 | $3.75 | Source09/06/2026 | |
| Google AI Studio | Via OpenRoutergoogle-ai-studio/flex | Lowest listed price: $0.375 | Lowest listed price: $1.875 | Source09/06/2026 | |
| Google AI Studio | Via OpenRoutergoogle-ai-studio/priority | $1.35 | $6.75 | Source09/06/2026 |
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.
27 matched rows from 25 benchmark families were considered. The radar shows 8 of 12 comparable categories.
Key to the marks:better valuebetter, but not conclusivetie
| Benchmark and task | GPT-5.6 Sol | Gemini 3.6 Flash | Source |
|---|---|---|---|
BioMysteryBenchOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Harness: Terminus 2 | Winner71.111 % | 58.519 % | Vals AISource detailsData as of: 09/02/2026 |
Code MigrationOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner52.916 % | 30.928 % | Vals AISource detailsData as of: 09/03/2026 |
CorpFin v2OverallTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better | Winner64.375 % | 63.326 % | Vals AISource detailsData as of: 08/12/2026 |
CyberBenchOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner88.136 % | 48.514 % | Vals AISource detailsData as of: 09/01/2026 |
EMBOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner72.339 % | 65.411 % | Vals AISource detailsData as of: 09/03/2026 |
Finance Agent (v2)OverallTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better | 53.756 % | Winner56.296 % | Vals AISource detailsData as of: 09/03/2026 |
GPQA DiamondOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner95.202 % | 93.434 % | Vals AISource detailsData as of: 09/01/2026 |
Harvey's Legal Agent BenchmarkOverall · Task fully resolvedTest detailsNo documented difference in the test setupVersion: 1Metric: task resolution rateScoring: Higher is better | 2.5 % | Winner3.333 % | Vals AISource detailsData as of: 09/03/2026 |
Legal Research BenchOverall · All-passTest detailsNo documented difference in the test setupVersion: 1Metric: all-pass rateScoring: Higher is better | Winner48.077 % | 25 % | Vals AISource detailsData as of: 09/03/2026 |
LegalBenchOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner86.965 % | 86.705 % | Vals AISource detailsData as of: 09/01/2026 |
LiveCodeBench v6OverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | 82.604 % | Winner88.08 % | Vals AISource detailsData as of: 09/01/2026 |
LMArena Text, Style ControlOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGPT-5.6 Sol: Snapshot: gpt-5.6-sol-xhigh, Reasoning: xhigh, Harness: Arena text, style control Gemini 3.6 Flash: Snapshot: gemini-3.6-flash-high, Reasoning: high, Harness: Arena text, style controlGPT-5.6 Sol: Style-controlled Arena rating from 23,153 anonymous pairwise votes.Gemini 3.6 Flash: Style-controlled Arena rating from 22,009 anonymous pairwise votes. | Higher measured value1,482.868 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. | 1,480.192 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. | LMArenaSource detailsData as of: 09/01/2026 |
MedCodeOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | 43.974 % | Winner53.153 % | Vals AISource detailsData as of: 09/03/2026 |
MedScribeOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner85.233 % | 79.661 % | Vals AISource detailsData as of: 09/03/2026 |
MMLU-ProOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | 89.1 % | Winner89.276 % | Vals AISource detailsData as of: 09/01/2026 |
MMMU-ProOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner88.844 % | 88.382 % | Vals AISource detailsData as of: 09/01/2026 |
MortgageTaxOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | 67.289 % | Winner67.608 % | Vals AISource detailsData as of: 09/01/2026 |
ProgramBenchOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner1.5 % | 0 % | Vals AISource detailsData as of: 09/01/2026 |
Public Benefits Bench v1.1OverallTest detailsNo documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is better | Winner66.509 % | 56.563 % | Vals AISource detailsData as of: 09/01/2026 |
SAGEOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner52.563 % | 48.686 % | Vals AISource detailsData as of: 09/03/2026 |
SWE-bench VerifiedOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner96.2 % | 79.6 % | Vals AISource detailsData as of: 09/01/2026 |
TaxEval v2OverallTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better | 74.775 % | Winner74.857 % | Vals AISource detailsData as of: 09/01/2026 |
Terminal-Bench 2.1OverallTest detailsNo documented difference in the test setupVersion: 2.1Metric: accuracyScoring: Higher is better | Winner85.768 % | 73.783 % | Vals AISource detailsData as of: 09/03/2026 |
Vals IndexOverallTest detailsNo documented difference in the test setupVersion: 2Metric: weighted index scoreScoring: Higher is better | Winner63.709 % | 55.354 % | Vals AISource detailsData as of: 09/03/2026 |
Vals Multimodal IndexOverallTest detailsNo documented difference in the test setupVersion: 1.2Metric: weighted index scoreScoring: Higher is better | Winner72.64 % | 65.077 % | Vals AISource detailsData as of: 08/11/2026 |
Vibe Code Bench v1.1OverallTest detailsNo documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Harness: OpenHands | Winner80.495 % | 64.005 % | Vals AISource detailsData as of: 09/03/2026 |
Code MigrationCLITest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value47.221 % | 19.332 % | Vals AISource detailsData as of: 08/09/2026 |
CorpFin v2Exact PagesTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value61.538 % | 61.072 % | Vals AISource detailsData as of: 08/06/2026 |
CyberBenchPatchTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 83.051 % | Higher measured value84.746 % | Vals AISource detailsData as of: 08/03/2026 |
EMBCompsTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value71.309 % | 70.019 % | Vals AISource detailsData as of: 08/06/2026 |
Finance Agent (v2)AdjustmentsTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 49.233 % | Higher measured value53.608 % | Vals AISource detailsData as of: 08/06/2026 |
GPQA DiamondFew-Shot CoTTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value94.949 % | 92.424 % | Vals AISource detailsData as of: 08/09/2026 |
Harvey's Legal Agent BenchmarkAntitrust Competition · Criteria passedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 78.623 % | Higher measured value79.71 % | Vals AISource detailsData as of: 08/07/2026 |
Legal Research BenchAdministrative / Regulatory · All-passTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value60.606 % | 31.818 % | Vals AISource detailsData as of: 08/06/2026 |
LegalBenchConclusion TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 90.492 % | Higher measured value91.081 % | Vals AISource detailsData as of: 08/09/2026 |
LiveCodeBench v6EasyTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 98.137 % | Higher measured value99.068 % | Vals AISource detailsData as of: 08/09/2026 |
LMArena Text, Style ControlBusiness, management and financeTest detailsTest setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGPT-5.6 Sol: Snapshot: gpt-5.6-sol-xhigh, Reasoning: xhigh, Harness: Arena text, style control Gemini 3.6 Flash: Snapshot: gemini-3.6-flash-high, Reasoning: high, Harness: Arena text, style controlGPT-5.6 Sol: Style-controlled Arena rating from 4,509 anonymous pairwise votes.Gemini 3.6 Flash: Style-controlled Arena rating from 4,278 anonymous pairwise votes. | Higher measured value1,490.042 95% confidence interval: ±9.485The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | 1,477.825 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. | LMArenaSource detailsData as of: 09/01/2026 |
MMLU-ProBiologyTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 94.561 % | Higher measured value94.7 % | Vals AISource detailsData as of: 08/09/2026 |
MortgageTaxNumerical ExtractionTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 75.119 % | Higher measured value76.789 % | Vals AISource detailsData as of: 08/09/2026 |
ProgramBenchAlmost ResolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value23 % | 2.5 % | Vals AISource detailsData as of: 08/09/2026 |
SAGEAutomataTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 30,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens | Higher measured value39.682 % | 34.92 % | Vals AISource detailsData as of: 08/09/2026 |
SWE-bench Verified<15 min fixTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value97.423 % | 87.113 % | Vals AISource detailsData as of: 08/08/2026 |
TaxEval v2CorrectnessTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value65.004 % | 63.532 % | Vals AISource detailsData as of: 08/09/2026 |
Terminal-Bench 2.1EasyTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 91.667 % | Higher measured value100 % | Vals AISource detailsData as of: 08/06/2026 |
Vals IndexCorpFin v2Test detailsTest setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value66.434 % | 63.52 % | Vals AISource detailsData as of: 08/09/2026 |
Vals Multimodal IndexCorpFin v2Test detailsTest setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value66.434 % | 63.52 % | Vals AISource detailsData as of: 08/09/2026 |
Code MigrationCOBOLTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: 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 AISource detailsData as of: 08/09/2026 |
CorpFin v2Max Fitting ContextTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 65.152 % | Higher measured value65.385 % | Vals AISource detailsData as of: 08/06/2026 |
CyberBenchPoCTest detailsTest 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 value93.22 % | 12.281 % | Vals AISource detailsData as of: 08/03/2026 |
EMBDataroomTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value85.243 % | 72.965 % | Vals AISource detailsData as of: 08/06/2026 |
Finance Agent (v2)All-PassTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 41.362 % | Higher measured value44.634 % | Vals AISource detailsData as of: 08/06/2026 |
GPQA DiamondZero-Shot CoTTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value95.455 % | 94.444 % | Vals AISource detailsData as of: 08/09/2026 |
Harvey's Legal Agent BenchmarkAntitrust Competition · Task fully resolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterGPT-5.6 Sol: 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 AISource detailsData as of: 08/07/2026 |
Legal Research BenchAdministrative / Regulatory · Weighted partial creditTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value90.69 % | 83.517 % | Vals AISource detailsData as of: 08/06/2026 |
LegalBenchInterpretation TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value84.398 % | 83.894 % | Vals AISource detailsData as of: 08/09/2026 |
LiveCodeBench v6HardTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 67.429 % | Higher measured value74.571 % | Vals AISource detailsData as of: 08/09/2026 |
LMArena Text, Style ControlChineseTest detailsTest setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGPT-5.6 Sol: Snapshot: gpt-5.6-sol-xhigh, Reasoning: xhigh, Harness: Arena text, style control Gemini 3.6 Flash: Snapshot: gemini-3.6-flash-high, Reasoning: high, Harness: Arena text, style controlGPT-5.6 Sol: Style-controlled Arena rating from 1,557 anonymous pairwise votes.Gemini 3.6 Flash: Style-controlled Arena rating from 1,402 anonymous pairwise votes. | 1,534.658 95% confidence interval: ±15.764The 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. | LMArenaSource detailsData as of: 09/01/2026 |
MMLU-ProBusinessTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value93.283 % | 92.776 % | Vals AISource detailsData as of: 08/09/2026 |
MortgageTaxSemantic ExtractionTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value59.459 % | 58.426 % | Vals AISource detailsData as of: 08/09/2026 |
ProgramBenchFully ResolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value1.5 % | 0 % | Vals AISource detailsData as of: 08/09/2026 |
SAGECalculusTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 30,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens | 67.284 % | Higher measured value75.309 % | Vals AISource detailsData as of: 08/09/2026 |
SWE-bench Verified>4 hoursTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value100 % | 33.333 % | Vals AISource detailsData as of: 08/08/2026 |
TaxEval v2Stepwise ReasoningTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 84.546 % | Higher measured value86.182 % | Vals AISource detailsData as of: 08/09/2026 |
Terminal-Bench 2.1HardTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGPT-5.6 Sol: Reasoning: max, Output limit: 128,000 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Higher measured value84.444 % | 64.444 % | Vals AISource detailsData as of: 08/06/2026 |
Key to the marks:better valuebetter, but not conclusivetie | |||
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
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