Head-to-head comparison
Gemini 3.5 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.
197
shared result series
30
distinct benchmarks
2026-08-16
latest retrieval
Change model selection
Specifications and cost
General specifications and standard API pricing
Undisclosed parameter counts and knowledge cutoffs stay marked as unavailable. The table shows direct standard token pricing, including documented context tiers. Batch, fast, priority, regional surcharges, tool calls, and cloud platform pricing are excluded.
| Attribute | Gemini 3.5 Flash | Gemini 3.1 Pro Preview |
|---|---|---|
| Provider | ||
| Released | May 19, 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 |
| API pricing per 1M tokens | ||
| API input | $1.5 | $2 ≤200K / $4 >200K |
| API output | $9 | $12 ≤200K / $18 >200K |
| Cache read | $0.15 | $0.2 ≤200K / $0.4 >200K |
| Cache write (5 min.) | Not listed | Not listed |
| Cache write (1 hr.) | Not listed | Not listed |
| Price verified | 07/30/2026Source | 07/30/2026Source |
Gemini 3.5 FlashGemini 3.1 Pro Preview
API inputUSD per 1M tokens, base tier
Gemini 3.5 Flash$1.5Lower price
Gemini 3.1 Pro Preview$2
API outputUSD per 1M tokens, base tier
Gemini 3.5 Flash$9Lower price
Gemini 3.1 Pro Preview$12
Cache readUSD per 1M tokens, base tier
Gemini 3.5 Flash$0.15Lower price
Gemini 3.1 Pro Preview$0.2
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.
197 shared result series
Gemini 3.5 FlashGemini 3.1 Pro Preview
Arena Text, Style ControlOverall. Higher is better. Test setup not documented as identical
Gemini 3.5 Flash1,477.219 arena points
Gemini 3.1 Pro Preview1,486.245 arena pointsHigher measured value
Code MigrationOverall. Higher is better. No documented setup difference
Gemini 3.5 Flash26.745 %Winner
Gemini 3.1 Pro Preview17.313 %
CorpFin v2Overall. Higher is better. No documented setup difference
Gemini 3.5 Flash64.686 %Winner
Gemini 3.1 Pro Preview64.491 %
CyberBenchOverall. Higher is better. No documented setup difference
Gemini 3.5 Flash69.331 %Winner
Gemini 3.1 Pro Preview36.441 %
EMBOverall. Higher is better. No documented setup difference
Gemini 3.5 Flash63.548 %Winner
Gemini 3.1 Pro Preview52.616 %
EnigmaEvalOverall. Higher is better. No documented setup difference
Gemini 3.5 Flash25.41% ± 2.45
Gemini 3.1 Pro Preview36.78% ± 2.71Winner
Finance Agent (v2)Overall. Higher is better. No documented setup difference
Gemini 3.5 Flash57.861 %Winner
Gemini 3.1 Pro Preview42.982 %
GAIA ReliabilityAccuracy. Higher is better. No documented setup difference
Gemini 3.5 Flash79.2 %Winner
Gemini 3.1 Pro Preview76.2 %
GPQA DiamondOverall. Higher is better. No documented setup difference
Gemini 3.5 Flash92.676 %
Gemini 3.1 Pro Preview95.454 %Winner
Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. No documented setup difference
Gemini 3.5 Flash2.5 %Winner
Gemini 3.1 Pro Preview0 %
Legal Research BenchOverall · All-pass. Higher is better. No documented setup difference
Gemini 3.5 Flash30.769 %Winner
Gemini 3.1 Pro Preview20.673 %
LegalBenchOverall. Higher is better. No documented setup difference
Gemini 3.5 Flash83.602 %
Gemini 3.1 Pro Preview87.398 %Winner
| Benchmark and task | Gemini 3.5 Flash | Gemini 3.1 Pro Preview | Comparability | Source |
|---|---|---|---|---|
| Arena Text, Style ControlOverall | 1,477.219 arena points 95% confidence interval: ±4.669The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | 1,486.245 arena pointsHigher measured value 95% confidence interval: ±3.337The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | style-control-v1style-controlled Bradley-Terry ratingHigher is betterCohort: lmarena-text-style-control:2026-08-12:overallTest setup not documented as identicalNo direct winnerGemini 3.5 Flash: Snapshot: gemini-3.5-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 3.5 Flash: Style-controlled Arena rating from 25,746 anonymous pairwise votes.Gemini 3.1 Pro Preview: Style-controlled Arena rating from 94,989 anonymous pairwise votes. | ArenaType: Official benchmark leaderboardLeaderboard updated: 2026-08-12Import ID: lmarena-eeedf9209373a7f9b324bfb839e7b02fedacd1e5-1611ed64f3f1Retrieved 2026-08-16 |
| Code MigrationOverall | 26.745 %Winner | 17.313 % | 1accuracyHigher is betterCohort: vals-code-migration:1:overallNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-13Import ID: vals-code-migration-2026-08-16-107652dc6bfcRetrieved 2026-08-16 |
| CorpFin v2Overall | 64.686 %Winner | 64.491 % | 2accuracyHigher is betterCohort: vals-corp-fin-v2:2:overallNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-corp_fin_v2-2026-08-16-45bbf84f57abRetrieved 2026-08-16 |
| CyberBenchOverall | 69.331 %Winner | 36.441 % | 1accuracyHigher is betterCohort: vals-cyberbench:1:overallNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-03Import ID: vals-cyber-2026-08-16-702acaee9aa9Retrieved 2026-08-16 |
| EMBOverall | 63.548 %Winner | 52.616 % | 1accuracyHigher is betterCohort: vals-emb:1:overallNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-13Import ID: vals-emb-2026-08-16-68d5d1d47a97Retrieved 2026-08-16 |
| EnigmaEvalOverallReasoning: high | 25.41% ± 2.45 95% confidence interval: ±2.45 | 36.78% ± 2.71Winner 95% confidence interval: ±2.71 | open-source release 2026-07-23pass@1 accuracyHigher is betterCohort: scale-enigma-eval-2026-07-23No documented setup differenceWinner: Gemini 3.1 Pro PreviewGemini 3.5 Flash: Snapshot: gemini-3.5-flash-high, Reasoning: high, Attempts: pass@1 Gemini 3.1 Pro Preview: Snapshot: gemini-3.1-pro-preview-high, Reasoning: high, Attempts: pass@1Complex multimodal puzzles with exact answer matching and one attempt. | Scale AIType: Official benchmark leaderboardLeaderboard updated: 2026-07-23Import ID: curated-scale-ai-2026-08-05-12bfb6a642a9 / curated-scale-ai-2026-08-05-e31ad9c1b314Retrieved 2026-08-05 |
| Finance Agent (v2)Overall | 57.861 %Winner | 42.982 % | 2accuracyHigher is betterCohort: vals-finance-agent-v2:2:overallNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-14Import ID: vals-fabv2-2026-08-16-8853da43085dRetrieved 2026-08-16 |
| GAIA ReliabilityAccuracy | 79.2 %Winner | 76.2 % | final leak-cleaned public validation setexact-match accuracyHigher is betterCohort: hal-gaia-reliability-hal-reliability-overallNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: Agent: HAL Reliability, Harness: HAL Reliability Gemini 3.1 Pro Preview: Agent: HAL Reliability, Harness: HAL Reliability165 GAIA tasks with repeated runs and perturbations. HAL does not publish cost for this evaluation. | Princeton HALType: Independent evaluationImport ID: curated-princeton-hal-2026-08-06-04b16718a8e7 / curated-princeton-hal-2026-08-06-5beb5d872d82Retrieved 2026-08-06 |
| GPQA DiamondOverall | 92.676 % | 95.454 %Winner | 1accuracyHigher is betterCohort: vals-gpqa:1:overallNo documented setup differenceWinner: Gemini 3.1 Pro PreviewGemini 3.5 Flash: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-gpqa-2026-08-16-7f8363eaa2dbRetrieved 2026-08-16 |
| Harvey's Legal Agent BenchmarkOverall · Task fully resolved | 2.5 %Winner | 0 % | 1task resolution rateHigher is betterCohort: vals-legal-agent-benchmark:1:overallNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-14Import ID: vals-hlab-2026-08-16-bae90566df2fRetrieved 2026-08-16 |
| Legal Research BenchOverall · All-pass | 30.769 %Winner | 20.673 % | 1all-pass rateHigher is betterCohort: vals-legal-research:1:overallNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-14Import ID: vals-legal_research-2026-08-16-af296c00ecaaRetrieved 2026-08-16 |
| LegalBenchOverall | 83.602 % | 87.398 %Winner | 1accuracyHigher is betterCohort: vals-legal-bench:1:overallNo documented setup differenceWinner: Gemini 3.1 Pro PreviewGemini 3.5 Flash: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-legal_bench-2026-08-16-d5b3b1b2b5c8Retrieved 2026-08-16 |
| LiveCodeBench v6Overall | 87.604 % | 88.485 %Winner | 1accuracyHigher is betterCohort: vals-lcb:1:overallNo documented setup differenceWinner: Gemini 3.1 Pro PreviewGemini 3.5 Flash: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-13Import ID: vals-lcb-2026-08-16-17b9c147080dRetrieved 2026-08-16 |
| MedCodeOverall | 55.825 % | 59.062 %Winner | 1accuracyHigher is betterCohort: vals-medcode:1:overallNo documented setup differenceWinner: Gemini 3.1 Pro PreviewGemini 3.5 Flash: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-medcode-2026-08-16-524f7f474eacRetrieved 2026-08-16 |
| MedScribeOverall | 76.574 %Winner | 76.114 % | 1accuracyHigher is betterCohort: vals-medscribe:1:overallNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-medscribe-2026-08-16-c385354a7e62Retrieved 2026-08-16 |
| MMLU-ProOverall | 89.515 % | 90.987 %Winner | 1accuracyHigher is betterCohort: vals-mmlu-pro:1:overallNo documented setup differenceWinner: Gemini 3.1 Pro PreviewGemini 3.5 Flash: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-mmlu_pro-2026-08-16-e14d5bb3a34cRetrieved 2026-08-16 |
| MMMU-ProOverall | 88.266 %Winner | 88.208 % | 1accuracyHigher is betterCohort: vals-mmmu:1:overallNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-mmmu-2026-08-16-37c9a8c7e21fRetrieved 2026-08-16 |
| MortgageTaxOverall | 68.124 % | 69.396 %Winner | 1accuracyHigher is betterCohort: vals-mortgage-tax:1:overallNo documented setup differenceWinner: Gemini 3.1 Pro PreviewGemini 3.5 Flash: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-mortgage_tax-2026-08-16-e78c985dbb1cRetrieved 2026-08-16 |
| ProgramBenchOverall | 0 %Tie | 0 %Tie | 1accuracyHigher is betterCohort: vals-programbench:1:overallNo documented setup differenceTieGemini 3.5 Flash: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-13Import ID: vals-programbench-2026-08-16-08d9727662ddRetrieved 2026-08-16 |
| ProofBenchOverall | 31 %Winner | 26 % | 1.1accuracyHigher is betterCohort: vals-proof-bench:1.1:overallNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-14Import ID: vals-proof_bench-2026-08-16-14232db24de1Retrieved 2026-08-16 |
| Public Benefits Bench v1.1Overall | 59.472 %Winner | 53.789 % | 1.1accuracyHigher is betterCohort: vals-snap:1.1:overallNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-public-benefits-bench-2026-08-16-7ce68123c502Retrieved 2026-08-16 |
| SAGEOverall | 49.885 %Winner | 48.677 % | 1accuracyHigher is betterCohort: vals-sage:1:overallNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-sage-2026-08-16-a416dd25affbRetrieved 2026-08-16 |
| SWE-bench VerifiedOverall | 78.8 %Tie | 78.8 %Tie | 1accuracyHigher is betterCohort: vals-swebench:1:overallNo documented setup differenceTieGemini 3.5 Flash: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-swebench-2026-08-16-c133071b8167Retrieved 2026-08-16 |
| TaxEval v2Overall | 74.366 %Winner | 72.882 % | 2accuracyHigher is betterCohort: vals-tax-eval-v2:2:overallNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-tax_eval_v2-2026-08-16-5bbd495dac53Retrieved 2026-08-16 |
| Terminal-Bench 2.0Overall | 67.416 %Tie | 67.416 %Tie | 2.0accuracyHigher is betterCohort: vals-terminal-bench-2:2.0:overallNo documented setup differenceTieGemini 3.5 Flash: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-06-04Import ID: vals-terminal-bench-2-2026-08-16-0d39f2e25723Retrieved 2026-08-16 |
| Terminal-Bench 2.1Overall | 74.157 %Winner | 70.787 % | 2.1accuracyHigher is betterCohort: vals-terminal-bench-2-1:2.1:overallNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-13Import ID: vals-terminal-bench-2-1-2026-08-16-b3f38c18bea4Retrieved 2026-08-16 |
| Vals IndexOverall | 53.079 %Winner | 41.903 % | 2weighted index scoreHigher is betterCohort: vals-vals-index:2:overallNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-14Import ID: vals-vals_index-2026-08-16-ab641d89d6edRetrieved 2026-08-16 |
| Vals Multimodal IndexOverall | 62.928 %Winner | 56.068 % | 1.2weighted index scoreHigher is betterCohort: vals-vals-multimodal-index:1.2:overallNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-11Import ID: vals-vals_multimodal_index-2026-08-16-9f3ebb221408Retrieved 2026-08-16 |
| Vibe Code Bench v1.1Overall | 48.683 %Winner | 32.034 % | 1.1accuracyHigher is betterCohort: vals-vibe-code-bench:1.1:overallNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: Harness: OpenHands Gemini 3.1 Pro Preview: Harness: OpenHands | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-13Import ID: vals-vibe-code-2026-08-16-a73c9770bcc4Retrieved 2026-08-16 |
| τ-bench Airline CleanAccuracy | 80.8 % | 82.1 %Winner | 26-task cleaned subsettask success rateHigher is betterCohort: hal-tau-airline-clean-hal-reliability-overallNo documented setup differenceWinner: Gemini 3.1 Pro PreviewGemini 3.5 Flash: Agent: HAL Reliability, Harness: HAL Reliability Gemini 3.1 Pro Preview: Agent: HAL Reliability, Harness: HAL Reliability26 cleaned airline tasks. Princeton HAL recomputed every metric from scratch on this subset. | Princeton HALType: Independent evaluationImport ID: curated-princeton-hal-2026-08-05-8023c329706f / curated-princeton-hal-2026-08-05-a406d7a39da1Retrieved 2026-08-05 |
| Arena Text, Style ControlOverall | 1,474.893 arena points 95% confidence interval: ±5.093The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | 1,486.245 arena pointsHigher measured value 95% confidence interval: ±3.337The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | style-control-v1style-controlled Bradley-Terry ratingHigher is betterCohort: lmarena-text-style-control:2026-08-12:overallTest setup not documented as identicalNo direct winnerGemini 3.5 Flash: Snapshot: gemini-3.5-flash-medium, Reasoning: medium, Harness: Arena text, style control Gemini 3.1 Pro Preview: Snapshot: gemini-3.1-pro-preview, Harness: Arena text, style controlGemini 3.5 Flash: Style-controlled Arena rating from 23,928 anonymous pairwise votes.Gemini 3.1 Pro Preview: Style-controlled Arena rating from 94,989 anonymous pairwise votes. | ArenaType: Official benchmark leaderboardLeaderboard updated: 2026-08-12Import ID: lmarena-eeedf9209373a7f9b324bfb839e7b02fedacd1e5-1611ed64f3f1Retrieved 2026-08-16 |
| Code MigrationCLIReasoning: high | 17.175 %Winner | 10.833 % | 1accuracyHigher is betterCohort: vals-code-migration:1:cliNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-code-migration-2026-08-11-3a2d5ce718a3Retrieved 2026-08-11 |
| CorpFin v2Exact PagesReasoning: high | 62.821 %Winner | 60.839 % | 2accuracyHigher is betterCohort: vals-corp-fin-v2:2:exact_pagesNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-corp_fin_v2-2026-08-11-d9e58d191cd9Retrieved 2026-08-11 |
| CyberBenchPatch | 81.034 %Winner | 69.492 % | 1accuracyHigher is betterCohort: vals-cyberbench:1:patchNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-03Import ID: vals-cyber-2026-08-11-1f20498a3dc1Retrieved 2026-08-11 |
| EMBCompsReasoning: high | 69.788 %Winner | 44.505 % | 1accuracyHigher is betterCohort: vals-emb:1:compsNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-emb-2026-08-11-e3c855e236e4Retrieved 2026-08-11 |
| Finance Agent (v2)AdjustmentsReasoning: high | 54.869 %Winner | 38.361 % | 2accuracyHigher is betterCohort: vals-finance-agent-v2:2:adjustmentsNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-fabv2-2026-08-11-3e5c93a1857cRetrieved 2026-08-11 |
| GAIA ReliabilityConsistency | 0.75 rating points | 0.76 rating pointsWinner | final leak-cleaned public validation setaggregate consistencyHigher is betterCohort: hal-gaia-reliability-hal-reliability-consistencyNo documented setup differenceWinner: Gemini 3.1 Pro PreviewGemini 3.5 Flash: Agent: HAL Reliability, Harness: HAL Reliability Gemini 3.1 Pro Preview: Agent: HAL Reliability, Harness: HAL Reliability165 GAIA tasks with repeated runs and perturbations. HAL does not publish cost for this evaluation. | Princeton HALType: Independent evaluationImport ID: curated-princeton-hal-2026-08-06-e688b934dbf7 / curated-princeton-hal-2026-08-06-5975efd2a7ddRetrieved 2026-08-06 |
| GPQA DiamondFew-Shot CoTReasoning: high | 91.414 % | 95.96 %Higher measured value | 1accuracyHigher is betterCohort: vals-gpqa:1:diamond_few_shot_cotTest setup not documented as identicalNo direct winnerGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,535 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-gpqa-2026-08-11-d3325290a404Retrieved 2026-08-11 |
| Legal Research BenchAdministrative / Regulatory · All-passReasoning: high | 43.939 %Winner | 24.242 % | 1all-pass rateHigher is betterCohort: vals-legal-research:1:administrative_regulatoryNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-legal_research-2026-08-11-326cf7aaca58Retrieved 2026-08-11 |
| LegalBenchConclusion TasksReasoning: high | 81.939 % | 89.257 %Winner | 1accuracyHigher is betterCohort: vals-legal-bench:1:conclusion_tasksNo documented setup differenceWinner: Gemini 3.1 Pro PreviewGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-legal_bench-2026-08-11-836e5e44618eRetrieved 2026-08-11 |
| LiveCodeBench v6EasyReasoning: high | 99.068 %Tie | 99.068 %Tie | 1accuracyHigher is betterCohort: vals-lcb:1:easyNo documented setup differenceTieGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-lcb-2026-08-11-0342bcc364e4Retrieved 2026-08-11 |
| MMLU-ProBiologyReasoning: high | 93.863 % | 95.258 %Higher measured value | 1accuracyHigher is betterCohort: vals-mmlu-pro:1:biologyTest setup not documented as identicalNo direct winnerGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,535 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-mmlu_pro-2026-08-11-b8e53828d746Retrieved 2026-08-11 |
| MortgageTaxNumerical ExtractionReasoning: high | 77.504 %Winner | 76.391 % | 1accuracyHigher is betterCohort: vals-mortgage-tax:1:numerical_extractionNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-mortgage_tax-2026-08-11-5ea6eef3e482Retrieved 2026-08-11 |
| ProgramBenchAlmost ResolvedReasoning: high | 1.5 %Winner | 1 % | 1accuracyHigher is betterCohort: vals-programbench:1:almostNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-programbench-2026-08-11-b6f8959fbdfeRetrieved 2026-08-11 |
| SAGEAutomataReasoning: high | 38.492 %Winner | 32.143 % | 1accuracyHigher is betterCohort: vals-sage:1:automataNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 30,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-sage-2026-08-11-f1f79f6d8af3Retrieved 2026-08-11 |
| SWE-bench Verified<15 min fixReasoning: high | 86.598 % | 88.66 %Winner | 1accuracyHigher is betterCohort: vals-swebench:1:<15 min fixNo documented setup differenceWinner: Gemini 3.1 Pro PreviewGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-08Import ID: vals-swebench-2026-08-11-a6212cd857d8Retrieved 2026-08-11 |
| TaxEval v2CorrectnessReasoning: high | 61.897 %Higher measured value | 60.749 % | 2accuracyHigher is betterCohort: vals-tax-eval-v2:2:correctnessTest setup not documented as identicalNo direct winnerGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,535 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-tax_eval_v2-2026-08-11-d05a40bf446fRetrieved 2026-08-11 |
| Terminal-Bench 2.0EasyReasoning: high | 100 %Tie | 100 %Tie | 2.0accuracyHigher is betterCohort: vals-terminal-bench-2:2.0:easyNo documented setup differenceTieGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-06-04Import ID: vals-terminal-bench-2-2026-08-11-d91717be20e6Retrieved 2026-08-11 |
| Terminal-Bench 2.1EasyReasoning: high | 100 %Winner | 91.667 % | 2.1accuracyHigher is betterCohort: vals-terminal-bench-2-1:2.1:easyNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-terminal-bench-2-1-2026-08-11-8f0ebd72a609Retrieved 2026-08-11 |
| Vals IndexCorpFin v2Reasoning: high | 64.569 % | 65.734 %Winner | 1.2benchmark scoreHigher is betterCohort: vals-vals-index:1.2:corp_fin_v2No documented setup differenceWinner: Gemini 3.1 Pro PreviewGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-vals_index-2026-08-11-e79d08d59249Retrieved 2026-08-11 |
| Vals Multimodal IndexCorpFin v2Reasoning: high | 64.569 % | 65.734 %Winner | 1.2benchmark scoreHigher is betterCohort: vals-vals-multimodal-index:1.2:corp_fin_v2No documented setup differenceWinner: Gemini 3.1 Pro PreviewGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-vals_multimodal_index-2026-08-11-fa704862df19Retrieved 2026-08-11 |
| τ-bench Airline CleanConsistency | 0.78 rating points | 0.81 rating pointsWinner | 26-task cleaned subsetaggregate consistencyHigher is betterCohort: hal-tau-airline-clean-hal-reliability-consistencyNo documented setup differenceWinner: Gemini 3.1 Pro PreviewGemini 3.5 Flash: Agent: HAL Reliability, Harness: HAL Reliability Gemini 3.1 Pro Preview: Agent: HAL Reliability, Harness: HAL Reliability26 cleaned airline tasks. Princeton HAL recomputed every metric from scratch on this subset. | Princeton HALType: Independent evaluationImport ID: curated-princeton-hal-2026-08-05-1e9fbd126e3d / curated-princeton-hal-2026-08-05-ef9e29f87138Retrieved 2026-08-05 |
| Arena Text, Style ControlBusiness, management and finance | 1,464.273 arena points 95% confidence interval: ±8.885The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | 1,476.932 arena pointsHigher measured value 95% confidence interval: ±5.678The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | style-control-v1style-controlled Bradley-Terry ratingHigher is betterCohort: lmarena-text-style-control:2026-08-12:industry_business_and_management_and_financial_operationsTest setup not documented as identicalNo direct winnerGemini 3.5 Flash: Snapshot: gemini-3.5-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 3.5 Flash: Style-controlled Arena rating from 5,150 anonymous pairwise votes.Gemini 3.1 Pro Preview: Style-controlled Arena rating from 18,759 anonymous pairwise votes. | ArenaType: Official benchmark leaderboardLeaderboard updated: 2026-08-12Import ID: lmarena-eeedf9209373a7f9b324bfb839e7b02fedacd1e5-1611ed64f3f1Retrieved 2026-08-16 |
| Code MigrationCOBOLReasoning: high | 55.455 %Winner | 36.753 % | 1accuracyHigher is betterCohort: vals-code-migration:1:cobolNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-code-migration-2026-08-11-3a2d5ce718a3Retrieved 2026-08-11 |
| CorpFin v2Max Fitting ContextReasoning: high | 66.667 % | 66.9 %Winner | 2accuracyHigher is betterCohort: vals-corp-fin-v2:2:max_fitting_contextNo documented setup differenceWinner: Gemini 3.1 Pro PreviewGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-corp_fin_v2-2026-08-11-d9e58d191cd9Retrieved 2026-08-11 |
| CyberBenchPoC | 57.627 %Winner | 3.39 % | 1accuracyHigher is betterCohort: vals-cyberbench:1:pocNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-03Import ID: vals-cyber-2026-08-11-1f20498a3dc1Retrieved 2026-08-11 |
| EMBDataroomReasoning: high | 80.921 %Winner | 79.17 % | 1accuracyHigher is betterCohort: vals-emb:1:dataroomNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-emb-2026-08-11-e3c855e236e4Retrieved 2026-08-11 |
| Finance Agent (v2)All-PassReasoning: high | 45.706 %Winner | 30.879 % | 2accuracyHigher is betterCohort: vals-finance-agent-v2:2:all_passNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-fabv2-2026-08-11-3e5c93a1857cRetrieved 2026-08-11 |
| GAIA ReliabilityPredictability | 0.8 rating pointsWinner | 0.78 rating points | final leak-cleaned public validation setaggregate predictabilityHigher is betterCohort: hal-gaia-reliability-hal-reliability-predictabilityNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: Agent: HAL Reliability, Harness: HAL Reliability Gemini 3.1 Pro Preview: Agent: HAL Reliability, Harness: HAL Reliability165 GAIA tasks with repeated runs and perturbations. HAL does not publish cost for this evaluation. | Princeton HALType: Independent evaluationImport ID: curated-princeton-hal-2026-08-06-13cadabbccdb / curated-princeton-hal-2026-08-06-1ba765b3e748Retrieved 2026-08-06 |
| GPQA DiamondZero-Shot CoTReasoning: high | 93.939 % | 94.949 %Higher measured value | 1accuracyHigher is betterCohort: vals-gpqa:1:diamond_zero_shot_cotTest setup not documented as identicalNo direct winnerGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,535 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-gpqa-2026-08-11-d3325290a404Retrieved 2026-08-11 |
| Legal Research BenchAdministrative / Regulatory · Weighted partial creditReasoning: high | 87.126 %Winner | 79.215 % | 1weighted partial-credit scoreHigher is betterCohort: vals-legal-research:1:weighted_pass__administrative_regulatoryNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-legal_research-2026-08-11-326cf7aaca58Retrieved 2026-08-11 |
| LegalBenchInterpretation TasksReasoning: high | 88.675 %Winner | 83.823 % | 1accuracyHigher is betterCohort: vals-legal-bench:1:interpretation_tasksNo documented setup differenceWinner: Gemini 3.5 FlashGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-legal_bench-2026-08-11-836e5e44618eRetrieved 2026-08-11 |
| LiveCodeBench v6HardReasoning: high | 73.143 % | 76.571 %Winner | 1accuracyHigher is betterCohort: vals-lcb:1:hardNo documented setup differenceWinner: Gemini 3.1 Pro PreviewGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-lcb-2026-08-11-0342bcc364e4Retrieved 2026-08-11 |
| MMLU-ProBusinessReasoning: high | 93.283 % | 93.409 %Higher measured value | 1accuracyHigher is betterCohort: vals-mmlu-pro:1:businessTest setup not documented as identicalNo direct winnerGemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens Gemini 3.1 Pro Preview: Reasoning: high, Temperature: 1, Output limit: 65,535 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-mmlu_pro-2026-08-11-b8e53828d746Retrieved 2026-08-11 |
The table shows 64 diversified result series from 197 shared results. This prevents one benchmark with many subtasks from crowding out every other test.
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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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