Gemini 3.8 Flash
Unavailable in this round
Head-to-head comparison
Compare published benchmark results from matching versions and cohorts, API pricing, and technical specifications. Any documented test setup differences remain visible.
Specifications
Release date, availability, context window, architecture, and published parameter counts at a glance. Undisclosed details remain marked as unavailable.
| Attribute | Gemini 3.8 Flash | Gemini 3.6 Flash |
|---|---|---|
| Provider | ||
| Released | Sep 2, 2026 | Jul 21, 2026 |
| Availability | Active | Active |
| 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 | March 2026 | March 2026 |
| Technical sources | Model, Knowledge cutoff | Model, Knowledge cutoff |
Pricing
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 3.8 Flash | Gemini 3.6 Flash |
|---|---|---|
| API input | $0.75 | $0.75 |
| API output | $3.75 | $3.75 |
| Cache read | $0.075 | $0.075 |
| Cache write (5 min.) | Not listed | Not listed |
| Cache write (1 hr.) | Not listed | Not listed |
| Price verified | 09/22/2026 Source | 09/22/2026 Source |
Key to the marks:better valuebetter, but not conclusivetie
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 3.8 Flash | Direct from developerStandard API | $0.75 | $3.75 | Source09/22/2026 | |
| Via OpenRoutergoogle-vertex/us | $0.825 | $4.125 | Source10/17/2026 | ||
| Google AI Studio | Via OpenRoutergoogle-ai-studio | $0.75 | $3.75 | Source10/17/2026 | |
| Google AI Studio | Via OpenRoutergoogle-ai-studio/flex | Lowest listed price: $0.375 | Lowest listed price: $1.875 | Source10/17/2026 | |
| Google AI Studio | Via OpenRoutergoogle-ai-studio/priority | $1.35 | $6.75 | Source10/17/2026 | |
| Gemini 3.6 Flash | Direct from developerStandard API | $0.75 | $3.75 | Source09/22/2026 | |
| Via OpenRoutergoogle-vertex/global | $0.75 | $3.75 | Source10/17/2026 | ||
| Via OpenRoutergoogle-vertex/global/flex | Lowest listed price: $0.375 | Lowest listed price: $1.875 | Source10/17/2026 | ||
| Via OpenRoutergoogle-vertex/global/priority | $1.35 | $6.75 | Source10/17/2026 | ||
| Via OpenRoutergoogle-vertex/us | $0.825 | $4.125 | Source10/17/2026 | ||
| Google AI Studio | Via OpenRoutergoogle-ai-studio | $0.75 | $3.75 | Source10/17/2026 | |
| Google AI Studio | Via OpenRoutergoogle-ai-studio/flex | Lowest listed price: $0.375 | Lowest listed price: $1.875 | Source10/17/2026 | |
| Google AI Studio | Via OpenRoutergoogle-ai-studio/priority | $1.35 | $6.75 | Source10/17/2026 |
Performance
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.
Each axis averages directly matched benchmark families. A value of 100 means the stronger value within this pair, not a universal quality score.
228 matched rows from 35 benchmark families were considered. The radar shows 8 of 14 comparable categories.
Key to the marks:better valuebetter, but not conclusivetie
| Benchmark and task | Gemini 3.8 Flash | Gemini 3.6 Flash | Source |
|---|---|---|---|
AA-BriefcaseOverallTest detailsNo documented difference in the test setupVersion: v1.1Metric: AA-Briefcase EloScoring: Higher is betterGemini 3.8 Flash: Snapshot: Gemini 3.8 Flash (High), Reasoning: High Gemini 3.6 Flash: Snapshot: Gemini 3.6 Flash (High), Reasoning: HighGemini 3.8 Flash: Exact AA configuration: Gemini 3.8 Flash (High) (release gemini-3-8-flash, row gemini-3-8-flash, UUID 8a999846-4c1d-4ce7-a8b7-1310a7166fd7, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption.Gemini 3.6 Flash: Exact AA configuration: Gemini 3.6 Flash (High) (release gemini-3-6-flash, row gemini-3-6-flash, UUID 78332c88-fe60-42c8-af9d-3617e44cf1f5, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption. | Winner1,203.02 elo | 953.92 elo | Artificial AnalysisSource detailsData as of: 10/15/2026 |
AA-LCROverallTest detailsNo documented difference in the test setupVersion: v1.1Metric: Pass rateScoring: Higher is betterGemini 3.8 Flash: Snapshot: Gemini 3.8 Flash (High), Reasoning: High Gemini 3.6 Flash: Snapshot: Gemini 3.6 Flash (High), Reasoning: HighGemini 3.8 Flash: Exact AA configuration: Gemini 3.8 Flash (High) (release gemini-3-8-flash, row gemini-3-8-flash, UUID 8a999846-4c1d-4ce7-a8b7-1310a7166fd7, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption.Gemini 3.6 Flash: Exact AA configuration: Gemini 3.6 Flash (High) (release gemini-3-6-flash, row gemini-3-6-flash, UUID 78332c88-fe60-42c8-af9d-3617e44cf1f5, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption. | Winner81.3% | 80.0% | Artificial AnalysisSource detailsData as of: 10/15/2026 |
AA-OmniscienceOverallTest detailsNo documented difference in the test setupVersion: unspecifiedMetric: AA-Omniscience IndexScoring: Higher is betterGemini 3.8 Flash: Snapshot: Gemini 3.8 Flash (High), Reasoning: High Gemini 3.6 Flash: Snapshot: Gemini 3.6 Flash (High), Reasoning: HighGemini 3.8 Flash: Exact AA configuration: Gemini 3.8 Flash (High) (release gemini-3-8-flash, row gemini-3-8-flash, UUID 8a999846-4c1d-4ce7-a8b7-1310a7166fd7, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption.Gemini 3.6 Flash: Exact AA configuration: Gemini 3.6 Flash (High) (release gemini-3-6-flash, row gemini-3-6-flash, UUID 78332c88-fe60-42c8-af9d-3617e44cf1f5, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption. | Winner29.55 points The index can be negative and ranges from -100 to 100 according to Artificial Analysis. | 22.133 points The index can be negative and ranges from -100 to 100 according to Artificial Analysis. | Artificial AnalysisSource detailsData as of: 10/15/2026 |
Artificial Analysis Intelligence IndexOverallTest detailsNo documented difference in the test setupVersion: v4.3.2Metric: Artificial Analysis Intelligence IndexScoring: Higher is betterGemini 3.8 Flash: Snapshot: Gemini 3.8 Flash (High), Reasoning: High Gemini 3.6 Flash: Snapshot: Gemini 3.6 Flash (High), Reasoning: HighGemini 3.8 Flash: Exact AA configuration: Gemini 3.8 Flash (High) (release gemini-3-8-flash, row gemini-3-8-flash, UUID 8a999846-4c1d-4ce7-a8b7-1310a7166fd7, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption.Gemini 3.6 Flash: Exact AA configuration: Gemini 3.6 Flash (High) (release gemini-3-6-flash, row gemini-3-6-flash, UUID 78332c88-fe60-42c8-af9d-3617e44cf1f5, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption. | Winner40.926 points | 33.979 points | Artificial AnalysisSource detailsData as of: 10/15/2026 |
AutomationBench-AAOverallTest detailsNo documented difference in the test setupVersion: unspecifiedMetric: Objectives completed without guardrail violationsScoring: Higher is betterGemini 3.8 Flash: Snapshot: Gemini 3.8 Flash (High), Reasoning: High Gemini 3.6 Flash: Snapshot: Gemini 3.6 Flash (High), Reasoning: HighGemini 3.8 Flash: Exact AA configuration: Gemini 3.8 Flash (High) (release gemini-3-8-flash, row gemini-3-8-flash, UUID 8a999846-4c1d-4ce7-a8b7-1310a7166fd7, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption.Gemini 3.6 Flash: Exact AA configuration: Gemini 3.6 Flash (High) (release gemini-3-6-flash, row gemini-3-6-flash, UUID 78332c88-fe60-42c8-af9d-3617e44cf1f5, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption. | Winner59.9% | 53.0% | Artificial AnalysisSource detailsData as of: 10/15/2026 |
BioMysteryBenchOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Harness: Terminus 2, Temperature: 1, Output limit: 65,536 tokens | Winner62.222 % | 58.519 % | Vals AISource detailsData as of: 10/12/2026 |
Code MigrationOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner36.546 % | 30.928 % | Vals AISource detailsData as of: 10/12/2026 |
CyberBench v1.1OverallTest detailsNo documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 43.75 % | Winner45.357 % | Vals AISource detailsData as of: 10/12/2026 |
EMBOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner72.196 % | 65.411 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)OverallTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner61.435 % | 56.296 % | Vals AISource detailsData as of: 10/12/2026 |
GDP.pdfOverallTest detailsNo documented difference in the test setupVersion: unspecifiedMetric: All-pass rateScoring: Higher is betterGemini 3.8 Flash: Snapshot: Gemini 3.8 Flash (High), Reasoning: High Gemini 3.6 Flash: Snapshot: Gemini 3.6 Flash (High), Reasoning: HighGemini 3.8 Flash: Exact AA configuration: Gemini 3.8 Flash (High) (release gemini-3-8-flash, row gemini-3-8-flash, UUID 8a999846-4c1d-4ce7-a8b7-1310a7166fd7, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption.Gemini 3.6 Flash: Exact AA configuration: Gemini 3.6 Flash (High) (release gemini-3-6-flash, row gemini-3-6-flash, UUID 78332c88-fe60-42c8-af9d-3617e44cf1f5, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption. | Winner21.0% | 17.4% | Artificial AnalysisSource detailsData as of: 10/15/2026 |
GDPval-AAOverallTest detailsNo documented difference in the test setupVersion: v2.1Metric: GDPval-AA EloScoring: Higher is betterGemini 3.8 Flash: Snapshot: Gemini 3.8 Flash (High), Reasoning: High Gemini 3.6 Flash: Snapshot: Gemini 3.6 Flash (High), Reasoning: HighGemini 3.8 Flash: Exact AA configuration: Gemini 3.8 Flash (High) (release gemini-3-8-flash, row gemini-3-8-flash, UUID 8a999846-4c1d-4ce7-a8b7-1310a7166fd7, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption.Gemini 3.6 Flash: Exact AA configuration: Gemini 3.6 Flash (High) (release gemini-3-6-flash, row gemini-3-6-flash, UUID 78332c88-fe60-42c8-af9d-3617e44cf1f5, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption. | Winner1,436.3 elo | 1,284.34 elo | Artificial AnalysisSource detailsData as of: 10/15/2026 |
GPQA DiamondOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner94.444 % | 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 betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner10 % | 3.333 % | Vals AISource detailsData as of: 10/12/2026 |
Humanity's Last ExamOverallTest detailsNo documented difference in the test setupVersion: unspecifiedMetric: Text-only pass@1 accuracyScoring: Higher is betterGemini 3.8 Flash: Snapshot: Gemini 3.8 Flash (High), Reasoning: High Gemini 3.6 Flash: Snapshot: Gemini 3.6 Flash (High), Reasoning: HighGemini 3.8 Flash: Exact AA configuration: Gemini 3.8 Flash (High) (release gemini-3-8-flash, row gemini-3-8-flash, UUID 8a999846-4c1d-4ce7-a8b7-1310a7166fd7, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption.Gemini 3.6 Flash: Exact AA configuration: Gemini 3.6 Flash (High) (release gemini-3-6-flash, row gemini-3-6-flash, UUID 78332c88-fe60-42c8-af9d-3617e44cf1f5, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption. | Winner47.8% Artificial Analysis describes this comparable run as 2,158 text-only questions, not the full 2,500-question dataset. | 40.8% Artificial Analysis describes this comparable run as 2,158 text-only questions, not the full 2,500-question dataset. | Artificial AnalysisSource detailsData as of: 10/15/2026 |
IOIOverallTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner56.944 % | 35.056 % | Vals AISource detailsData as of: 10/14/2026 |
Legal Research BenchOverall · 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 | Winner38.942 % | 25 % | Vals AISource detailsData as of: 10/12/2026 |
LegalBenchOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner86.993 % | 86.705 % | Vals AISource detailsData as of: 10/13/2026 |
LiveCodeBench v6OverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner89.484 % | 88.08 % | Vals AISource detailsData as of: 09/01/2026 |
LMArena Code Arena WebDevOverallTest detailsNo documented difference in the test setupVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Code Arena WebDev Gemini 3.6 Flash: Snapshot: gemini-3.6-flash-high, Reasoning: high, Harness: Arena Code Arena WebDevGemini 3.8 Flash: Arena rating from 10,077 published pairwise votes.Gemini 3.6 Flash: Arena rating from 8,768 published pairwise votes. | Winner1,584.77 95% confidence interval: ±7.59The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | 1,538.044 95% confidence interval: ±7.497The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | LMArenaSource detailsData as of: 10/13/2026 |
LMArena Text, Style ControlOverallTest detailsNo documented difference in the test setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Text, style control Gemini 3.6 Flash: Snapshot: gemini-3.6-flash-high, Reasoning: high, Harness: Arena Text, style controlGemini 3.8 Flash: Arena rating from 35,670 published pairwise votes.Gemini 3.6 Flash: Arena rating from 36,107 published pairwise votes. | Winner1,496.319 95% confidence interval: ±4.654The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | 1,482.911 95% confidence interval: ±4.426The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | LMArenaSource detailsData as of: 10/13/2026 |
LMArena Vision, Style ControlOverallTest detailsNo documented difference in the test setupNo clear leadVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Vision, style control Gemini 3.6 Flash: Snapshot: gemini-3.6-flash-high, Reasoning: high, Harness: Arena Vision, style controlGemini 3.8 Flash: Arena rating from 3,792 published pairwise votes.Gemini 3.6 Flash: Arena rating from 8,127 published pairwise votes. | No clear lead1,289.129 95% confidence interval: ±10.62The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | 1,280.714 95% confidence interval: ±8.17The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | LMArenaSource detailsData as of: 10/09/2026 |
MedCodeOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens | 48.135 % | Higher measured value53.153 % | Vals AISource detailsData as of: 10/13/2026 |
MedScribeOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 3.8 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.6 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens | Higher measured value84.496 % | 79.661 % | Vals AISource detailsData as of: 10/13/2026 |
MMLU-ProOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner90.221 % | 89.276 % | Vals AISource detailsData as of: 09/01/2026 |
MMMU-ProOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner89.075 % | 88.382 % | Vals AISource detailsData as of: 09/01/2026 |
MortgageTaxOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 65.342 % | Winner67.608 % | Vals AISource detailsData as of: 09/01/2026 |
ProgramBenchOverallTest detailsNo documented difference in the test setupVersion: 1Metric: fully resolved rateScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner1 % | 0 % | Vals AISource detailsData as of: 10/12/2026 |
Public Benefits Bench v1.1OverallTest detailsNo documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner65.291 % | 56.563 % | Vals AISource detailsData as of: 10/12/2026 |
SAGEOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens | 35.064 % | Winner48.686 % | Vals AISource detailsData as of: 10/08/2026 |
SWE-bench VerifiedOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner80 % | 79.6 % | Vals AISource detailsData as of: 09/01/2026 |
Tax Agent BenchOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner32.124 % | 18.038 % | Vals AISource detailsData as of: 10/12/2026 |
TaxEval v2OverallTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 74.448 % | Winner74.857 % | Vals AISource detailsData as of: 09/01/2026 |
Terminal-BenchOverallTest detailsNo documented difference in the test setupVersion: 4.0Metric: Task successScoring: Higher is betterGemini 3.8 Flash: Snapshot: Gemini 3.8 Flash (High), Reasoning: High Gemini 3.6 Flash: Snapshot: Gemini 3.6 Flash (High), Reasoning: HighGemini 3.8 Flash: Exact AA configuration: Gemini 3.8 Flash (High) (release gemini-3-8-flash, row gemini-3-8-flash, UUID 8a999846-4c1d-4ce7-a8b7-1310a7166fd7, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption.Gemini 3.6 Flash: Exact AA configuration: Gemini 3.6 Flash (High) (release gemini-3-6-flash, row gemini-3-6-flash, UUID 78332c88-fe60-42c8-af9d-3617e44cf1f5, reasoning=true, source reasoning-token configuration budget=0, suffix=High). This configured value is not measured token consumption. | Winner19.7% | 7.1% | Artificial AnalysisSource detailsData as of: 10/15/2026 |
Terminal-Bench 2.1OverallTest detailsNo documented difference in the test setupVersion: 2.1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner81.273 % | 73.783 % | Vals AISource detailsData as of: 09/28/2026 |
Terminal-Bench ScienceOverallTest detailsNo documented difference in the test setupVersion: 0.1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 65,536 tokens | Winner8.571 % | 4.286 % | Vals AISource detailsData as of: 10/14/2026 |
Vibe Code Bench v1.1OverallTest detailsNo documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Harness: OpenHands, Temperature: 1, Output limit: 65,536 tokens | Winner78.651 % | 64.005 % | Vals AISource detailsData as of: 10/12/2026 |
BioMysteryBenchHardTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Harness: Terminus 2, Temperature: 1, Output limit: 65,536 tokens | Tie21.569 % | Tie21.569 % | Vals AISource detailsData as of: 10/12/2026 |
Code MigrationCLITest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner25.871 % | 19.332 % | Vals AISource detailsData as of: 10/12/2026 |
CyberBench v1.1PatchTest detailsNo documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner87.5 % | 85.714 % | Vals AISource detailsData as of: 10/12/2026 |
EMBCompsTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner76.435 % | 70.019 % | Vals AISource detailsData as of: 10/12/2026 |
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 | Winner54.828 % | 53.608 % | Vals AISource detailsData as of: 10/12/2026 |
GPQA DiamondFew-Shot CoTTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner94.949 % | 92.424 % | Vals AISource detailsData as of: 09/01/2026 |
Harvey's Legal Agent BenchmarkAntitrust Competition · Criteria passedTest detailsNo documented difference in the test setupVersion: 1Metric: criteria pass rateScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner87.681 % | 79.71 % | Vals AISource detailsData as of: 10/12/2026 |
IOIIOI 2024Test detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner55.667 % | 40.667 % | Vals AISource detailsData as of: 10/14/2026 |
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 | Winner46.97 % | 31.818 % | Vals AISource detailsData as of: 10/12/2026 |
LegalBenchConclusion TasksTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 90.691 % | Winner91.081 % | Vals AISource detailsData as of: 10/13/2026 |
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: 09/01/2026 |
LMArena Code Arena WebDevImage to webdevTest detailsNo documented difference in the test setupVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Code Arena WebDev Gemini 3.6 Flash: Snapshot: gemini-3.6-flash-high, Reasoning: high, Harness: Arena Code Arena WebDevGemini 3.8 Flash: Arena rating from 2,015 published pairwise votes.Gemini 3.6 Flash: Arena rating from 1,799 published pairwise votes. | Winner1,593.067 95% confidence interval: ±13.862The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | 1,544.911 95% confidence interval: ±14.31The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | LMArenaSource detailsData as of: 10/09/2026 |
LMArena Text, Style ControlBusiness, management and financeTest detailsNo documented difference in the test setupNo clear leadVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Text, style control Gemini 3.6 Flash: Snapshot: gemini-3.6-flash-high, Reasoning: high, Harness: Arena Text, style controlGemini 3.8 Flash: Arena rating from 6,520 published pairwise votes.Gemini 3.6 Flash: Arena rating from 6,836 published pairwise votes. | No clear lead1,479.887 95% confidence interval: ±8.136The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | 1,472.186 95% confidence interval: ±7.855The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | LMArenaSource detailsData as of: 10/13/2026 |
LMArena Vision, Style ControlChineseTest detailsNo documented difference in the test setupNo clear leadVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGemini 3.8 Flash: Snapshot: gemini-3.8-flash-high, Reasoning: high, Harness: Arena Vision, style control Gemini 3.6 Flash: Snapshot: gemini-3.6-flash-high, Reasoning: high, Harness: Arena Vision, style controlGemini 3.8 Flash: Arena rating from 182 published pairwise votes.Gemini 3.6 Flash: Arena rating from 479 published pairwise votes. | No clear lead1,379.729 95% confidence interval: ±43.521The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | 1,329.153 95% confidence interval: ±27.579The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | LMArenaSource detailsData as of: 10/09/2026 |
MMLU-ProBiologyTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner94.979 % | 94.7 % | Vals AISource detailsData as of: 09/01/2026 |
MortgageTaxNumerical ExtractionTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 70.588 % | Winner76.789 % | Vals AISource detailsData as of: 09/01/2026 |
ProgramBenchAlmost ResolvedTest detailsNo documented difference in the test setupVersion: 1Metric: almost-resolved rateScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner14 % | 2.5 % | Vals AISource detailsData as of: 10/12/2026 |
SAGEAutomataTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens | 33.334 % | Winner34.92 % | Vals AISource detailsData as of: 10/08/2026 |
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 | Winner89.691 % | 87.113 % | Vals AISource detailsData as of: 09/01/2026 |
Tax Agent BenchControversy & Precedence AnalysisTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner6.667 % | 3.333 % | Vals AISource detailsData as of: 10/12/2026 |
TaxEval v2CorrectnessTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 62.469 % | Winner63.532 % | Vals AISource detailsData as of: 09/01/2026 |
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 | Tie100 % | Tie100 % | Vals AISource detailsData as of: 09/28/2026 |
Terminal-Bench ScienceEarth SciencesTest detailsNo documented difference in the test setupVersion: 0.1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 65,536 tokens | 0 % | Winner12.5 % | Vals AISource detailsData as of: 10/14/2026 |
BioMysteryBenchHuman-solvableTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Harness: Terminus 2, Temperature: 1, Output limit: 65,536 tokens | Winner71.689 % | 67.123 % | Vals AISource detailsData as of: 10/12/2026 |
Code MigrationCOBOLTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner68.571 % | 65.714 % | Vals AISource detailsData as of: 10/12/2026 |
CyberBench v1.1PoCTest detailsNo documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | 0 % | Winner5 % | Vals AISource detailsData as of: 10/12/2026 |
EMBDataroomTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is betterSettings: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Winner86.218 % | 72.965 % | Vals AISource detailsData as of: 10/12/2026 |
Key to the marks:better valuebetter, but not conclusivetie | |||
Our model tests
One SVG prompt and fixed output settings. Captures are shown only with 0 reported reasoning tokens or documented lack of reasoning controls. Identical test conditions do not make the models' internal compute identical.
Shared test round: 4ae5d8eeb9a9
Unavailable in this round
Unavailable in this round
A community classic for free-form SVG drawing.
Gemini 3.8 Flash
The response reached the token limit. No complete recording is available.
Reasoning (requested): high
Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.
Gemini 3.6 Flash
The response reached the token limit. No complete recording is available.
Reasoning (requested): high
Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.
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
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 Gemini 3.8 Flash and Gemini 3.6 Flash with other leading models using the same data and benchmark logic.