Head-to-head comparison
Gemini 3.6 Flash vs. Gemini 3.1 Pro Preview
Compare published benchmark results from matching versions and cohorts, API pricing, and technical specifications. Any documented test setup differences remain visible.
- shared result series
- 151
- 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.
| Attribute | Gemini 3.6 Flash | Gemini 3.1 Pro Preview |
|---|---|---|
| Provider | ||
| Released | Jul 21, 2026 | Feb 19, 2026 |
| Availability | Active | Preview |
| Model type | Proprietary | Proprietary |
| Parameters | Not published | Not published |
| Architecture | Not published | Not published |
| Context window | 1,048,576 tokens | 1,048,576 tokens |
| Knowledge cutoff | Not published | Not published |
| Technical sources | Model | 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 | Gemini 3.6 Flash | Gemini 3.1 Pro Preview |
|---|---|---|
| API input | $0.75 | $2 ≤200K / $4 >200K |
| API output | $3.75 | $12 ≤200K / $18 >200K |
| Cache read | $0.07 | $0.2 ≤200K / $0.4 >200K |
| Cache write (5 min.) | Not listed | Not listed |
| Cache write (1 hr.) | Not listed | Not listed |
| Price verified | 08/16/2026 Source | 07/30/2026 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 |
|---|---|---|---|---|---|
| Gemini 3.6 Flash | Direct from developerStandard API | $0.75 | $3.75 | Source08/16/2026 | |
| Via OpenRoutergoogle-vertex/global | $0.75 | $3.75 | Source09/07/2026 | ||
| Via OpenRoutergoogle-vertex/global/flex | Lowest listed price: $0.375 | Lowest listed price: $1.875 | Source09/07/2026 | ||
| Via OpenRoutergoogle-vertex/global/priority | $1.35 | $6.75 | Source09/07/2026 | ||
| Via OpenRoutergoogle-vertex/us | $0.825 | $4.125 | Source09/07/2026 | ||
| Google AI Studio | Via OpenRoutergoogle-ai-studio | $0.75 | $3.75 | Source09/07/2026 | |
| Google AI Studio | Via OpenRoutergoogle-ai-studio/flex | Lowest listed price: $0.375 | Lowest listed price: $1.875 | Source09/07/2026 | |
| Google AI Studio | Via OpenRoutergoogle-ai-studio/priority | $1.35 | $6.75 | Source09/07/2026 | |
| Gemini 3.1 Pro Preview | Direct from developerUp to 200,000 context tokens | $2 | $12 | Source07/30/2026 | |
| Direct from developerAbove 200,000 context tokens | $4 | $18 | Source07/30/2026 | ||
| Via OpenRoutergoogle-vertex/global | $2 | $12 | Source09/07/2026 | ||
| Via OpenRoutergoogle-vertex/global/flex | Lowest listed price: $1 | Lowest listed price: $6 | Source09/07/2026 | ||
| Via OpenRoutergoogle-vertex/global/priority | $3.6 | $21.6 | Source09/07/2026 | ||
| Google AI Studio | Via OpenRoutergoogle-ai-studio | $2 | $12 | Source09/07/2026 | |
| Google AI Studio | Via OpenRoutergoogle-ai-studio/flex | Lowest listed price: $1 | Lowest listed price: $6 | Source09/07/2026 | |
| Google AI Studio | Via OpenRoutergoogle-ai-studio/priority | $3.6 | $21.6 | Source09/07/2026 |
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.
102 matched rows from 24 benchmark families were considered. The radar shows 8 of 12 comparable categories.
Key to the marks:better valuebetter, but not conclusivetie
| Benchmark and task | Gemini 3.6 Flash | Gemini 3.1 Pro Preview | Source |
|---|---|---|---|
Code MigrationOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner30.928 % | 17.313 % | Vals AISource detailsData as of: 09/03/2026 |
CorpFin v2OverallTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better | 63.326 % | Winner64.491 % | Vals AISource detailsData as of: 08/12/2026 |
CyberBenchOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner48.514 % | 36.441 % | Vals AISource detailsData as of: 09/01/2026 |
EMBOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner65.411 % | 52.616 % | Vals AISource detailsData as of: 09/03/2026 |
Finance Agent (v2)OverallTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better | Winner56.296 % | 42.982 % | Vals AISource detailsData as of: 09/03/2026 |
GPQA DiamondOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | 93.434 % | Winner95.454 % | 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 | Winner3.333 % | 0 % | 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 | Winner25 % | 20.673 % | Vals AISource detailsData as of: 09/03/2026 |
LegalBenchOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | 86.705 % | Winner87.398 % | Vals AISource detailsData as of: 09/01/2026 |
LiveCodeBench v6OverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | 88.08 % | Winner88.485 % | 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 betterGemini 3.6 Flash: Snapshot: gemini-3.6-flash-high, Reasoning: high, Harness: Arena text, style control Gemini 3.1 Pro Preview: Snapshot: gemini-3.1-pro-preview, Harness: Arena text, style controlGemini 3.6 Flash: Style-controlled Arena rating from 22,009 anonymous pairwise votes.Gemini 3.1 Pro Preview: Style-controlled Arena rating from 102,763 anonymous pairwise votes. | 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. | Higher measured value1,486.746 95% confidence interval: ±3.217The 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 | 53.153 % | Winner59.062 % | Vals AISource detailsData as of: 09/03/2026 |
MedScribeOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner79.661 % | 76.114 % | Vals AISource detailsData as of: 09/03/2026 |
MMLU-ProOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | 89.276 % | Winner90.987 % | Vals AISource detailsData as of: 09/01/2026 |
MMMU-ProOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner88.382 % | 88.208 % | Vals AISource detailsData as of: 09/01/2026 |
MortgageTaxOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | 67.608 % | Winner69.396 % | Vals AISource detailsData as of: 09/01/2026 |
ProgramBenchOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Tie0 % | Tie0 % | 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 | Winner56.563 % | 53.789 % | Vals AISource detailsData as of: 09/01/2026 |
SAGEOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner48.686 % | 48.677 % | Vals AISource detailsData as of: 09/03/2026 |
SWE-bench VerifiedOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner79.6 % | 78.8 % | Vals AISource detailsData as of: 09/01/2026 |
TaxEval v2OverallTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better | Winner74.857 % | 72.882 % | 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 | Winner73.783 % | 70.787 % | Vals AISource detailsData as of: 09/03/2026 |
Vals IndexOverallTest detailsNo documented difference in the test setupVersion: 2Metric: weighted index scoreScoring: Higher is better | Winner55.354 % | 41.903 % | 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 | Winner65.077 % | 56.068 % | 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 | Winner64.005 % | 32.034 % | Vals AISource detailsData as of: 09/03/2026 |
Code MigrationCLITest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner19.332 % | 10.833 % | Vals AISource detailsData as of: 08/09/2026 |
CorpFin v2Exact PagesTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner61.072 % | 60.839 % | 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 | Higher measured value84.746 % | 69.492 % | Vals AISource detailsData as of: 08/03/2026 |
EMBCompsTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner70.019 % | 44.505 % | Vals AISource detailsData as of: 08/06/2026 |
Finance Agent (v2)AdjustmentsTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner53.608 % | 38.361 % | Vals AISource detailsData as of: 08/06/2026 |
GPQA DiamondFew-Shot CoTTest 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 Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,535 tokens | 92.424 % | Higher measured value95.96 % | Vals AISource detailsData as of: 08/09/2026 |
Legal Research BenchAdministrative / Regulatory · All-passTest detailsNo documented difference in the test setupVersion: 1Metric: all-pass rateScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner31.818 % | 24.242 % | Vals AISource detailsData as of: 08/06/2026 |
LegalBenchConclusion TasksTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner91.081 % | 89.257 % | Vals AISource detailsData as of: 08/09/2026 |
LiveCodeBench v6EasyTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Tie99.068 % | Tie99.068 % | Vals 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 betterGemini 3.6 Flash: Snapshot: gemini-3.6-flash-high, Reasoning: high, Harness: Arena text, style control Gemini 3.1 Pro Preview: Snapshot: gemini-3.1-pro-preview, Harness: Arena text, style controlGemini 3.6 Flash: Style-controlled Arena rating from 4,278 anonymous pairwise votes.Gemini 3.1 Pro Preview: Style-controlled Arena rating from 20,283 anonymous pairwise votes. | 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. | 1,476.52 95% confidence interval: ±5.472The 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 betterGemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,535 tokens | 94.7 % | Higher measured value95.258 % | Vals AISource detailsData as of: 08/09/2026 |
MortgageTaxNumerical ExtractionTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner76.789 % | 76.391 % | Vals AISource detailsData as of: 08/09/2026 |
ProgramBenchAlmost ResolvedTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner2.5 % | 1 % | Vals AISource detailsData as of: 08/09/2026 |
SAGEAutomataTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens | Winner34.92 % | 32.143 % | Vals AISource detailsData as of: 08/09/2026 |
SWE-bench Verified<15 min fixTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 87.113 % | Winner88.66 % | Vals AISource detailsData as of: 08/08/2026 |
TaxEval v2CorrectnessTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,535 tokens | Higher measured value63.532 % | 60.749 % | Vals AISource detailsData as of: 08/09/2026 |
Terminal-Bench 2.1EasyTest detailsNo documented difference in the test setupVersion: 2.1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner100 % | 91.667 % | Vals AISource detailsData as of: 08/06/2026 |
Vals IndexCorpFin v2Test detailsNo documented difference in the test setupVersion: 1.2Metric: benchmark scoreScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 63.52 % | Winner65.734 % | Vals AISource detailsData as of: 08/09/2026 |
Vals Multimodal IndexCorpFin v2Test detailsNo documented difference in the test setupVersion: 1.2Metric: benchmark scoreScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 63.52 % | Winner65.734 % | Vals AISource detailsData as of: 08/09/2026 |
Code MigrationCOBOLTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner65.714 % | 36.753 % | Vals AISource detailsData as of: 08/09/2026 |
CorpFin v2Max Fitting ContextTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 65.385 % | Winner66.9 % | 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 value12.281 % | 3.39 % | Vals AISource detailsData as of: 08/03/2026 |
EMBDataroomTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 72.965 % | Winner79.17 % | Vals AISource detailsData as of: 08/06/2026 |
Finance Agent (v2)All-PassTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner44.634 % | 30.879 % | Vals AISource detailsData as of: 08/06/2026 |
GPQA DiamondZero-Shot CoTTest 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 Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,535 tokens | 94.444 % | Higher measured value94.949 % | Vals AISource detailsData as of: 08/09/2026 |
Legal Research BenchAdministrative / Regulatory · Weighted partial creditTest detailsNo documented difference in the test setupVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner83.517 % | 79.215 % | Vals AISource detailsData as of: 08/06/2026 |
LegalBenchInterpretation TasksTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner83.894 % | 83.823 % | Vals AISource detailsData as of: 08/09/2026 |
LiveCodeBench v6HardTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 74.571 % | Winner76.571 % | 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 betterGemini 3.6 Flash: Snapshot: gemini-3.6-flash-high, Reasoning: high, Harness: Arena text, style control Gemini 3.1 Pro Preview: Snapshot: gemini-3.1-pro-preview, Harness: Arena text, style controlGemini 3.6 Flash: Style-controlled Arena rating from 1,402 anonymous pairwise votes.Gemini 3.1 Pro Preview: Style-controlled Arena rating from 6,195 anonymous pairwise votes. | 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. | 1,530.803 95% confidence interval: ±8.555The 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 betterGemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,535 tokens | 92.776 % | Higher measured value93.409 % | Vals AISource detailsData as of: 08/09/2026 |
MortgageTaxSemantic ExtractionTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 58.426 % | Winner62.401 % | Vals AISource detailsData as of: 08/09/2026 |
ProgramBenchFully ResolvedTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Tie0 % | Tie0 % | Vals AISource detailsData as of: 08/09/2026 |
SAGECalculusTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens | 75.309 % | Winner78.395 % | Vals AISource detailsData as of: 08/09/2026 |
SWE-bench Verified>4 hoursTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Tie33.333 % | Tie33.333 % | Vals AISource detailsData as of: 08/08/2026 |
TaxEval v2Stepwise ReasoningTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,535 tokens | Higher measured value86.182 % | 85.016 % | Vals AISource detailsData as of: 08/09/2026 |
Terminal-Bench 2.1HardTest detailsNo documented difference in the test setupVersion: 2.1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner64.444 % | 60 % | Vals AISource detailsData as of: 08/06/2026 |
Vals IndexFinance Agent v2Test detailsNo documented difference in the test setupVersion: 1.2Metric: benchmark scoreScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner55.302 % | 42.968 % | Vals AISource detailsData as of: 08/09/2026 |
Vals Multimodal IndexFinance Agent v2Test detailsNo documented difference in the test setupVersion: 1.2Metric: benchmark scoreScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner55.302 % | 42.968 % | Vals AISource detailsData as of: 08/09/2026 |
Code MigrationCode QualityTest detailsNo documented difference in the test setupVersion: 1Metric: mean reviewer code-quality ratingScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner3.299 / 5 | 2.538 / 5 | Vals AISource detailsData as of: 08/09/2026 |
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
Related LLM comparisons
Compare Gemini 3.6 Flash and Gemini 3.1 Pro Preview with other leading models using the same data and benchmark logic.