Head-to-head comparison
Gemini 3.6 Flash vs. DeepSeek-V4-Pro
Compare published benchmark results from matching versions and cohorts, API pricing, and technical specifications. Any documented test setup differences remain visible.
- shared result series
- 212
- distinct benchmarks
- 21
- 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 | Gemini 3.6 Flash | DeepSeek-V4-Pro |
|---|---|---|
| Provider | DeepSeek | |
| Released | Jul 21, 2026 | Apr 24, 2026 |
| Availability | Active | Preview |
| Model type | Proprietary | Open Weights |
| Parameters | Not published | 1.6T, 49B active |
| Architecture | Not published | Mixture of Experts |
| Context window | 1,048,576 tokens | 1,000,000 tokens |
| Knowledge cutoff | Not published | Not published |
| Technical sources | Model | Model, Context |
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 | DeepSeek-V4-Pro |
|---|---|---|
| API input | $0.75 | $0.43 |
| API output | $3.75 | $0.87 |
| Cache read | $0.07 | $0. |
| 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 | |
| DeepSeek-V4-Pro | DeepSeek | Direct from developerStandard API | Lowest listed price: $0.435 | Lowest listed price: $0.87 | Source07/30/2026 |
| Alibaba | Via OpenRouteralibaba | $1.122 | $3.366 | Source09/07/2026 | |
| Baidu | Via OpenRouterbaidu/fp8 | $1.1194 | $3.3581 | Source09/07/2026 | |
| BaseTen | Via OpenRouterbaseten/fp4#1 | $1.32 | $3.96 | Source09/07/2026 | |
| BaseTen | Via OpenRouterbaseten/fp4#2 | $1.32 | $3.96 | Source09/07/2026 | |
| Cloudflare | Via OpenRoutercloudflare | $1.32 | $3.96 | Source09/07/2026 | |
| CoreWeave | Via OpenRoutercoreweave/fp8 | $1.31 | $3.96 | Source09/07/2026 | |
| DeepInfra | Via OpenRouterdeepinfra/fp8 | $1.3 | $2.6 | Source09/07/2026 | |
| DeepSeek | Via OpenRouterdeepseek | $0.66 | $1.98 | Source09/07/2026 | |
| DigitalOcean | Via OpenRouterdigitalocean | $1.32 | $3.96 | Source09/07/2026 | |
| Fireworks | Via OpenRouterfireworks | $1.32 | $3.96 | Source09/07/2026 | |
| GMICloud | Via OpenRoutergmicloud/fp8 | $1.122 | $3.366 | Source09/07/2026 | |
| NextBit | Via OpenRouternextbit/fp8 | $1.32 | $3.96 | Source09/07/2026 | |
| Novita | Via OpenRouternovita/fp8 | $1.32 | $3.96 | Source09/07/2026 | |
| Parasail | Via OpenRouterparasail/fp8 | $1.32 | $3.96 | Source09/07/2026 | |
| Phala | Via OpenRouterphala | $1.45 | $4.36 | Source09/07/2026 | |
| Sail Research | Via OpenRoutersail-research/fp4 | $1.32 | $3.96 | Source09/07/2026 | |
| SiliconFlow | Via OpenRoutersiliconflow/fp8 | $1.32 | $3.96 | Source09/07/2026 | |
| StreamLake | Via OpenRouterstreamlake | $1.1207 | $3.362 | Source09/07/2026 | |
| Together | Via OpenRoutertogether | $1.32 | $3.96 | 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.
50 matched rows from 21 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 | DeepSeek-V4-Pro | Source |
|---|---|---|---|
Code MigrationOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner30.928 % | 26.201 % | Vals AISource detailsData as of: 09/03/2026 |
CorpFin v2OverallTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better | Winner63.326 % | 61.383 % | Vals AISource detailsData as of: 08/12/2026 |
CyberBenchOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | 48.514 % | Winner68.644 % | Vals AISource detailsData as of: 09/01/2026 |
EMBOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner65.411 % | 51.623 % | 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 % | 44.083 % | Vals AISource detailsData as of: 09/03/2026 |
GPQA DiamondOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner93.434 % | 89.394 % | 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 | 3.333 % | Winner3.75 % | 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 % | 23.077 % | Vals AISource detailsData as of: 09/03/2026 |
LegalBenchOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner86.705 % | 80.323 % | Vals AISource detailsData as of: 09/01/2026 |
LiveCodeBench v6OverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner88.08 % | 87.484 % | 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 DeepSeek-V4-Pro: Snapshot: deepseek-v4-pro, Harness: Arena text, style controlGemini 3.6 Flash: Style-controlled Arena rating from 22,009 anonymous pairwise votes.DeepSeek-V4-Pro: Style-controlled Arena rating from 54,243 anonymous pairwise votes. | 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. | 1,457.748 95% confidence interval: ±4.009The 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 | Winner53.153 % | 40.455 % | Vals AISource detailsData as of: 09/03/2026 |
MedScribeOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner79.661 % | 75.144 % | Vals AISource detailsData as of: 09/03/2026 |
MMLU-ProOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner89.276 % | 87.249 % | 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 | 56.563 % | Winner62.923 % | Vals AISource detailsData as of: 09/01/2026 |
SWE-bench VerifiedOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner79.6 % | 77.4 % | Vals AISource detailsData as of: 09/01/2026 |
TaxEval v2OverallTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better | Winner74.857 % | 72.077 % | 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 % | 50.187 % | 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 % | 42.888 % | Vals AISource detailsData as of: 09/03/2026 |
Vibe Code Bench v1.1OverallTest detailsNo documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Harness: OpenHands | Winner64.005 % | 49.931 % | Vals AISource detailsData as of: 09/03/2026 |
Code MigrationCLITest 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 DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value19.332 % | 15.47 % | Vals AISource detailsData as of: 08/09/2026 |
CorpFin v2Exact PagesTest 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 DeepSeek-V4-Pro: Reasoning: max, Output limit: 128,000 tokens | Higher measured value61.072 % | 59.207 % | 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 % | 79.661 % | Vals AISource detailsData as of: 08/03/2026 |
EMBCompsTest 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 DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value70.019 % | 57.434 % | Vals AISource detailsData as of: 08/06/2026 |
Finance Agent (v2)AdjustmentsTest 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 DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value53.608 % | 41.586 % | 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 DeepSeek-V4-Pro: Reasoning: max, Output limit: 256,000 tokens | Higher measured value92.424 % | 90.404 % | 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 betterGemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | 79.71 % | Higher measured value83.696 % | 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 betterGemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value31.818 % | 28.788 % | Vals AISource detailsData as of: 08/06/2026 |
LegalBenchConclusion TasksTest 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 DeepSeek-V4-Pro: Reasoning: max, Output limit: 256,000 tokens | Higher measured value91.081 % | 89.117 % | Vals AISource detailsData as of: 08/09/2026 |
LiveCodeBench v6EasyTest 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 DeepSeek-V4-Pro: Reasoning: max, Output limit: 128,000 tokens | Higher measured value99.068 % | 98.758 % | Vals AISource detailsData as of: 08/09/2026 |
LMArena Text, Style ControlOverallTest detailsNo documented difference in the test setupVersion: 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 DeepSeek-V4-Pro: Snapshot: deepseek-v4-pro-high-preview, Reasoning: high, Harness: Arena text, style controlGemini 3.6 Flash: Style-controlled Arena rating from 22,009 anonymous pairwise votes.DeepSeek-V4-Pro: Style-controlled Arena rating from 51,599 anonymous pairwise votes. | Winner1,480.192 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. | 1,455.047 95% confidence interval: ±4.08The 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 DeepSeek-V4-Pro: Reasoning: max, Output limit: 256,000 tokens | Higher measured value94.7 % | 92.887 % | Vals AISource detailsData as of: 08/09/2026 |
ProgramBenchAlmost ResolvedTest 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 DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value2.5 % | 0 % | 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 betterGemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 256,000 tokens | 87.113 % | Higher measured value87.629 % | 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 DeepSeek-V4-Pro: Reasoning: max, Output limit: 128,000 tokens | Higher measured value63.532 % | 60.589 % | 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 betterGemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4-Pro: Output limit: 128,000 tokens | Higher measured value100 % | 66.667 % | 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 betterGemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 128,000 tokens | Higher measured value63.52 % | 61.888 % | Vals AISource detailsData as of: 08/09/2026 |
Code MigrationCOBOLTest 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 DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value65.714 % | 58.393 % | Vals AISource detailsData as of: 08/09/2026 |
CorpFin v2Max Fitting ContextTest 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 DeepSeek-V4-Pro: Reasoning: max, Output limit: 128,000 tokens | Higher measured value65.385 % | 63.054 % | 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 | 12.281 % | Higher measured value57.627 % | Vals AISource detailsData as of: 08/03/2026 |
EMBDataroomTest 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 DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value72.965 % | 62.572 % | 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 betterGemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value44.634 % | 31.448 % | 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 DeepSeek-V4-Pro: Reasoning: max, Output limit: 256,000 tokens | Higher measured value94.444 % | 88.384 % | 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 betterGemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 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 betterGemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value83.517 % | 83.372 % | Vals AISource detailsData as of: 08/06/2026 |
LegalBenchInterpretation TasksTest 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 DeepSeek-V4-Pro: Reasoning: max, Output limit: 256,000 tokens | Higher measured value83.894 % | 75.169 % | Vals AISource detailsData as of: 08/09/2026 |
LiveCodeBench v6HardTest 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 DeepSeek-V4-Pro: Reasoning: max, Output limit: 128,000 tokens | Higher measured value74.571 % | 72.571 % | 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 DeepSeek-V4-Pro: Snapshot: deepseek-v4-pro, Harness: Arena text, style controlGemini 3.6 Flash: Style-controlled Arena rating from 4,278 anonymous pairwise votes.DeepSeek-V4-Pro: Style-controlled Arena rating from 10,742 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. | 1,461.034 95% confidence interval: ±6.908The 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 DeepSeek-V4-Pro: Reasoning: max, Output limit: 256,000 tokens | Higher measured value92.776 % | 91.888 % | Vals AISource detailsData as of: 08/09/2026 |
ProgramBenchFully ResolvedTest 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 DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | No direct winner0 % | No direct winner0 % | 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 betterGemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 256,000 tokens | Higher measured value33.333 % | 0 % | 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 DeepSeek-V4-Pro: Reasoning: max, Output limit: 128,000 tokens | Higher measured value86.182 % | 83.565 % | 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 betterGemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4-Pro: Output limit: 128,000 tokens | Higher measured value64.444 % | 31.111 % | Vals AISource detailsData as of: 08/06/2026 |
Vals IndexFinance Agent v2Test detailsTest setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterGemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value55.302 % | 44.081 % | Vals AISource detailsData as of: 08/09/2026 |
Code MigrationCode QualityTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: mean reviewer code-quality ratingScoring: Higher is betterGemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | 3.299 / 5 | Higher measured value3.401 / 5 | Vals AISource detailsData as of: 08/09/2026 |
CorpFin v2Shared Max ContextTest 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 DeepSeek-V4-Pro: Reasoning: max, Output limit: 128,000 tokens | Higher measured value63.52 % | 61.888 % | Vals AISource detailsData as of: 08/06/2026 |
EMBDCFTest 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 DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value59.408 % | 44.435 % | Vals AISource detailsData as of: 08/06/2026 |
Finance Agent (v2)ComparablesTest 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 DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value47.829 % | 39.632 % | Vals AISource detailsData as of: 08/06/2026 |
Harvey's Legal Agent BenchmarkArbitration International Dispute Resolution · Criteria passedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterGemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | 78.853 % | Higher measured value83.512 % | Vals AISource detailsData as of: 08/07/2026 |
Legal Research BenchBusiness & Commercial · All-passTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterGemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | No direct winner23.256 % | No direct winner23.256 % | Vals AISource detailsData as of: 08/06/2026 |
LegalBenchIssue TasksTest 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 DeepSeek-V4-Pro: Reasoning: max, Output limit: 256,000 tokens | Higher measured value91.121 % | 84.587 % | Vals AISource detailsData as of: 08/09/2026 |
LiveCodeBench v6MediumTest 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 DeepSeek-V4-Pro: Reasoning: max, Output limit: 128,000 tokens | 90.601 % | Higher measured value91.123 % | Vals AISource detailsData as of: 08/09/2026 |
LMArena Text, Style ControlBusiness, management and financeTest detailsNo documented difference in the test setupVersion: 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 DeepSeek-V4-Pro: Snapshot: deepseek-v4-pro-high-preview, Reasoning: high, Harness: Arena text, style controlGemini 3.6 Flash: Style-controlled Arena rating from 4,278 anonymous pairwise votes.DeepSeek-V4-Pro: Style-controlled Arena rating from 10,411 anonymous pairwise votes. | Winner1,477.825 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. | 1,448.251 95% confidence interval: ±6.986The 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 |
Key to the marks:better valuebetter, but not conclusivetie | |||
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Your workload, budget, and required context length matter most. A coding benchmark says little about visual understanding or agent performance.
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