Head-to-head comparison
GPT-5.5 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
29
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 | GPT-5.5 | Gemini 3.1 Pro Preview |
|---|---|---|
| Provider | OpenAI | |
| Released | Apr 2026 | Feb 19, 2026 |
| Availability | Active | Preview |
| Model type | Proprietary | Proprietary |
| Parameters | Not published | Not published |
| Architecture | Not published | Not published |
| Context window | 1,050,000 tokens | 1,048,576 tokens |
| Knowledge cutoff | December 1, 2025 | Not published |
| Technical sources | Model | Model |
| API pricing per 1M tokens | ||
| API input | $5 ≤272K / $10 >272K | $2 ≤200K / $4 >200K |
| API output | $30 ≤272K / $45 >272K | $12 ≤200K / $18 >200K |
| Cache read | $0.5 ≤272K / $1 >272K | $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 |
GPT-5.5Gemini 3.1 Pro Preview
API inputUSD per 1M tokens, base tier
GPT-5.5$5
Gemini 3.1 Pro Preview$2Lower price
API outputUSD per 1M tokens, base tier
GPT-5.5$30
Gemini 3.1 Pro Preview$12Lower price
Cache readUSD per 1M tokens, base tier
GPT-5.5$0.5
Gemini 3.1 Pro Preview$0.2Lower price
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
GPT-5.5Gemini 3.1 Pro Preview
Arena Text, Style ControlOverall. Higher is better. No documented setup difference
GPT-5.51,476.591 arena points
Gemini 3.1 Pro Preview1,486.245 arena pointsWinner
BrowseCompOverall. Higher is better. No documented setup difference
GPT-5.584.4 %
Gemini 3.1 Pro Preview85.9 %Winner
Code MigrationOverall. Higher is better. No documented setup difference
GPT-5.545.161 %Winner
Gemini 3.1 Pro Preview17.313 %
CorpFin v2Overall. Higher is better. No documented setup difference
GPT-5.568.415 %Winner
Gemini 3.1 Pro Preview64.491 %
CyberBenchOverall. Higher is better. No documented setup difference
GPT-5.580.508 %Winner
Gemini 3.1 Pro Preview36.441 %
EMBOverall. Higher is better. No documented setup difference
GPT-5.564.543 %Winner
Gemini 3.1 Pro Preview52.616 %
Finance Agent (v2)Overall. Higher is better. No documented setup difference
GPT-5.551.76 %Winner
Gemini 3.1 Pro Preview42.982 %
GAIA ReliabilityAccuracy. Higher is better. No documented setup difference
GPT-5.562.8 %
Gemini 3.1 Pro Preview76.2 %Winner
GPQA DiamondOverall. Higher is better. No documented setup difference
GPT-5.593.182 %
Gemini 3.1 Pro Preview95.454 %Winner
Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. No documented setup difference
GPT-5.53.75 %Winner
Gemini 3.1 Pro Preview0 %
Legal Research BenchOverall · All-pass. Higher is better. No documented setup difference
GPT-5.540.385 %Winner
Gemini 3.1 Pro Preview20.673 %
LegalBenchOverall. Higher is better. No documented setup difference
GPT-5.586.515 %
Gemini 3.1 Pro Preview87.398 %Winner
| Benchmark and task | GPT-5.5 | Gemini 3.1 Pro Preview | Comparability | Source |
|---|---|---|---|---|
| Arena Text, Style ControlOverall | 1,476.591 arena points 95% confidence interval: ±4.028The 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 pointsWinner 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:overallNo documented setup differenceWinner: Gemini 3.1 Pro PreviewGPT-5.5: Snapshot: gpt-5.5, Harness: Arena text, style control Gemini 3.1 Pro Preview: Snapshot: gemini-3.1-pro-preview, Harness: Arena text, style controlGPT-5.5: Style-controlled Arena rating from 56,647 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 |
| BrowseCompOverall | 84.4 % Editorial selection from the vendor table, not a complete extract of the comparison cohort. | 85.9 %Winner Editorial selection from the vendor table, not a complete extract of the comparison cohort. | 1,266 tasksaccuracyHigher is betterCohort: browsecomp-openai-gpt-5-6-tableNo documented setup differenceWinner: Gemini 3.1 Pro PreviewGPT-5.5: No further settings disclosed Gemini 3.1 Pro Preview: No further settings disclosedCross-vendor comparison table with browsing tools. Exact agent systems differ. | OpenAIType: Vendor-reportedLeaderboard updated: 2026-07-09Import ID: curated-openai-2026-08-02-2e09b38d9cde / curated-openai-2026-08-02-6b6010847c80Retrieved 2026-08-02 |
| Code MigrationOverall | 45.161 %Winner | 17.313 % | 1accuracyHigher is betterCohort: vals-code-migration:1:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: 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 | 68.415 %Winner | 64.491 % | 2accuracyHigher is betterCohort: vals-corp-fin-v2:2:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: 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 | 80.508 %Winner | 36.441 % | 1accuracyHigher is betterCohort: vals-cyberbench:1:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: 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 | 64.543 %Winner | 52.616 % | 1accuracyHigher is betterCohort: vals-emb:1:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: 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 |
| Finance Agent (v2)Overall | 51.76 %Winner | 42.982 % | 2accuracyHigher is betterCohort: vals-finance-agent-v2:2:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: 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 | 62.8 % | 76.2 %Winner | final leak-cleaned public validation setexact-match accuracyHigher is betterCohort: hal-gaia-reliability-hal-reliability-overallNo documented setup differenceWinner: Gemini 3.1 Pro PreviewGPT-5.5: 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-2026-08-06-5209fe0c6c3c / curated-princeton-hal-2026-08-06-5beb5d872d82Retrieved 2026-08-06 |
| GPQA DiamondOverall | 93.182 % | 95.454 %Winner | 1accuracyHigher is betterCohort: vals-gpqa:1:overallNo documented setup differenceWinner: Gemini 3.1 Pro PreviewGPT-5.5: 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 | 3.75 %Winner | 0 % | 1task resolution rateHigher is betterCohort: vals-legal-agent-benchmark:1:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: 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 | 40.385 %Winner | 20.673 % | 1all-pass rateHigher is betterCohort: vals-legal-research:1:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: 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 | 86.515 % | 87.398 %Winner | 1accuracyHigher is betterCohort: vals-legal-bench:1:overallNo documented setup differenceWinner: Gemini 3.1 Pro PreviewGPT-5.5: 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 | 85.296 % | 88.485 %Winner | 1accuracyHigher is betterCohort: vals-lcb:1:overallNo documented setup differenceWinner: Gemini 3.1 Pro PreviewGPT-5.5: 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 | 49.1 % | 59.062 %Winner | 1accuracyHigher is betterCohort: vals-medcode:1:overallNo documented setup differenceWinner: Gemini 3.1 Pro PreviewGPT-5.5: 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 | 86.868 %Winner | 76.114 % | 1accuracyHigher is betterCohort: vals-medscribe:1:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: 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 | 88.144 % | 90.987 %Winner | 1accuracyHigher is betterCohort: vals-mmlu-pro:1:overallNo documented setup differenceWinner: Gemini 3.1 Pro PreviewGPT-5.5: 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: GPT-5.5GPT-5.5: 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 | 68.76 % | 69.396 %Winner | 1accuracyHigher is betterCohort: vals-mortgage-tax:1:overallNo documented setup differenceWinner: Gemini 3.1 Pro PreviewGPT-5.5: 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 | 0.5 %Winner | 0 % | 1accuracyHigher is betterCohort: vals-programbench:1:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: 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 |
| Public Benefits Bench v1.1Overall | 60.893 %Winner | 53.789 % | 1.1accuracyHigher is betterCohort: vals-snap:1.1:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: 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 | 51.532 %Winner | 48.677 % | 1accuracyHigher is betterCohort: vals-sage:1:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: 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 | 82.6 %Winner | 78.8 % | 1accuracyHigher is betterCohort: vals-swebench:1:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: 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 | 74.98 %Winner | 72.882 % | 2accuracyHigher is betterCohort: vals-tax-eval-v2:2:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: 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 | 73.202 %Winner | 67.416 % | 2.0accuracyHigher is betterCohort: vals-terminal-bench-2:2.0:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: 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 | 76.404 %Winner | 70.787 % | 2.1accuracyHigher is betterCohort: vals-terminal-bench-2-1:2.1:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: 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 | 57.411 %Winner | 41.903 % | 2weighted index scoreHigher is betterCohort: vals-vals-index:2:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: 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 | 68.071 %Winner | 56.068 % | 1.2weighted index scoreHigher is betterCohort: vals-vals-multimodal-index:1.2:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: 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 | 69.847 %Winner | 32.034 % | 1.1accuracyHigher is betterCohort: vals-vibe-code-bench:1.1:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: 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 | 79.5 % | 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 PreviewGPT-5.5: 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-b34eddc3b10f / curated-princeton-hal-2026-08-05-a406d7a39da1Retrieved 2026-08-05 |
| Arena Text, Style ControlOverall | 1,481.794 arena points 95% confidence interval: ±4.053The 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 winnerGPT-5.5: Snapshot: gpt-5.5-high, Reasoning: high, Harness: Arena text, style control Gemini 3.1 Pro Preview: Snapshot: gemini-3.1-pro-preview, Harness: Arena text, style controlGPT-5.5: Style-controlled Arena rating from 55,322 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 MigrationCLI | 36.882 %Higher measured value | 10.833 % | 1accuracyHigher is betterCohort: vals-code-migration:1:cliTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 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 Pages | 65.618 %Higher measured value | 60.839 % | 2accuracyHigher is betterCohort: vals-corp-fin-v2:2:exact_pagesTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 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 | 81.356 %Winner | 69.492 % | 1accuracyHigher is betterCohort: vals-cyberbench:1:patchNo documented setup differenceWinner: GPT-5.5GPT-5.5: 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 |
| EMBComps | 64.681 %Higher measured value | 44.505 % | 1accuracyHigher is betterCohort: vals-emb:1:compsTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 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)Adjustments | 45.74 %Higher measured value | 38.361 % | 2accuracyHigher is betterCohort: vals-finance-agent-v2:2:adjustmentsTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 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 | 0.61 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 PreviewGPT-5.5: 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-2026-08-06-5120289a6ee7 / curated-princeton-hal-2026-08-06-5975efd2a7ddRetrieved 2026-08-06 |
| GPQA DiamondFew-Shot CoT | 93.434 % | 95.96 %Higher measured value | 1accuracyHigher is betterCohort: vals-gpqa:1:diamond_few_shot_cotTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 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-pass | 53.03 %Higher measured value | 24.242 % | 1all-pass rateHigher is betterCohort: vals-legal-research:1:administrative_regulatoryTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 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 Tasks | 89.644 %Higher measured value | 89.257 % | 1accuracyHigher is betterCohort: vals-legal-bench:1:conclusion_tasksTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 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 v6Easy | 98.447 % | 99.068 %Higher measured value | 1accuracyHigher is betterCohort: vals-lcb:1:easyTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 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-ProBiology | 94.003 % | 95.258 %Higher measured value | 1accuracyHigher is betterCohort: vals-mmlu-pro:1:biologyTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 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 Extraction | 76.153 % | 76.391 %Higher measured value | 1accuracyHigher is betterCohort: vals-mortgage-tax:1:numerical_extractionTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 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 Resolved | 9.5 %Higher measured value | 1 % | 1accuracyHigher is betterCohort: vals-programbench:1:almostTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 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 |
| SAGEAutomata | 40.476 %Higher measured value | 32.143 % | 1accuracyHigher is betterCohort: vals-sage:1:automataTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, 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 fix | 91.753 %Higher measured value | 88.66 % | 1accuracyHigher is betterCohort: vals-swebench:1:<15 min fixTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 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 v2Correctness | 65.495 %Higher measured value | 60.749 % | 2accuracyHigher is betterCohort: vals-tax-eval-v2:2:correctnessTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 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 | 85 % | 100 %Higher measured value | 2.0accuracyHigher is betterCohort: vals-terminal-bench-2:2.0:easyTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: high, Output limit: 128,000 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 | 83.333 % | 91.667 %Higher measured value | 2.1accuracyHigher is betterCohort: vals-terminal-bench-2-1:2.1:easyTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: high, Output limit: 128,000 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 v2 | 69.58 %Higher measured value | 65.734 % | 1.2benchmark scoreHigher is betterCohort: vals-vals-index:1.2:corp_fin_v2Test setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 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 v2 | 69.58 %Higher measured value | 65.734 % | 1.2benchmark scoreHigher is betterCohort: vals-vals-multimodal-index:1.2:corp_fin_v2Test setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 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 | 0.84 rating pointsWinner | 0.81 rating points | 26-task cleaned subsetaggregate consistencyHigher is betterCohort: hal-tau-airline-clean-hal-reliability-consistencyNo documented setup differenceWinner: GPT-5.5GPT-5.5: 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-f7128c9f5a06 / curated-princeton-hal-2026-08-05-ef9e29f87138Retrieved 2026-08-05 |
| Arena Text, Style ControlBusiness, management and finance | 1,486.534 arena pointsNo clear lead 95% confidence interval: ±6.991The 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 points 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_operationsNo documented setup differenceNo clear leadGPT-5.5: Snapshot: gpt-5.5, Harness: Arena text, style control Gemini 3.1 Pro Preview: Snapshot: gemini-3.1-pro-preview, Harness: Arena text, style controlGPT-5.5: Style-controlled Arena rating from 11,314 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 MigrationCOBOL | 70 %Higher measured value | 36.753 % | 1accuracyHigher is betterCohort: vals-code-migration:1:cobolTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 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 Context | 70.047 %Higher measured value | 66.9 % | 2accuracyHigher is betterCohort: vals-corp-fin-v2:2:max_fitting_contextTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 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 | 79.661 %Winner | 3.39 % | 1accuracyHigher is betterCohort: vals-cyberbench:1:pocNo documented setup differenceWinner: GPT-5.5GPT-5.5: 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 |
| EMBDataroom | 81.227 %Higher measured value | 79.17 % | 1accuracyHigher is betterCohort: vals-emb:1:dataroomTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 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-Pass | 39.562 %Higher measured value | 30.879 % | 2accuracyHigher is betterCohort: vals-finance-agent-v2:2:all_passTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 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: GPT-5.5GPT-5.5: 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-e496e1ed5951 / curated-princeton-hal-2026-08-06-1ba765b3e748Retrieved 2026-08-06 |
| GPQA DiamondZero-Shot CoT | 92.929 % | 94.949 %Higher measured value | 1accuracyHigher is betterCohort: vals-gpqa:1:diamond_zero_shot_cotTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 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 credit | 86.669 %Higher measured value | 79.215 % | 1weighted partial-credit scoreHigher is betterCohort: vals-legal-research:1:weighted_pass__administrative_regulatoryTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 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 Tasks | 83.836 %Higher measured value | 83.823 % | 1accuracyHigher is betterCohort: vals-legal-bench:1:interpretation_tasksTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 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 v6Hard | 69.714 % | 76.571 %Higher measured value | 1accuracyHigher is betterCohort: vals-lcb:1:hardTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 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-ProBusiness | 92.015 % | 93.409 %Higher measured value | 1accuracyHigher is betterCohort: vals-mmlu-pro:1:businessTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 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 |
| MortgageTaxSemantic Extraction | 61.367 % | 62.401 %Higher measured value | 1accuracyHigher is betterCohort: vals-mortgage-tax:1:semantic_extractionTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 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 |
The table shows 64 diversified result series from 197 shared results. This prevents one benchmark with many subtasks from crowding out every other test.
How to read this comparison
Winning one benchmark is not an overall verdict
Your workload, budget, and required context length matter most. A coding benchmark says little about visual understanding or agent performance.
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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.
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