Head-to-head comparison
GPT-5.5 vs. Gemini 3.5 Flash
Compare published benchmark results from matching versions and cohorts, API pricing, and technical specifications. Any documented test setup differences remain visible.
219
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 3.5 Flash |
|---|---|---|
| Provider | OpenAI | |
| Released | Apr 2026 | May 19, 2026 |
| Availability | Active | Active |
| 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 | $1.5 |
| API output | $30 ≤272K / $45 >272K | $9 |
| Cache read | $0.5 ≤272K / $1 >272K | $0.15 |
| 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 3.5 Flash
API inputUSD per 1M tokens, base tier
GPT-5.5$5
Gemini 3.5 Flash$1.5Lower price
API outputUSD per 1M tokens, base tier
GPT-5.5$30
Gemini 3.5 Flash$9Lower price
Cache readUSD per 1M tokens, base tier
GPT-5.5$0.5
Gemini 3.5 Flash$0.15Lower 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.
219 shared result series
GPT-5.5Gemini 3.5 Flash
Arena Text, Style ControlOverall. Higher is better. No documented setup difference
GPT-5.51,481.794 arena pointsNo clear lead
Gemini 3.5 Flash1,477.219 arena points
Code MigrationOverall. Higher is better. No documented setup difference
GPT-5.545.161 %Winner
Gemini 3.5 Flash26.745 %
CorpFin v2Overall. Higher is better. No documented setup difference
GPT-5.568.415 %Winner
Gemini 3.5 Flash64.686 %
CyberBenchOverall. Higher is better. No documented setup difference
GPT-5.580.508 %Winner
Gemini 3.5 Flash69.331 %
EMBOverall. Higher is better. No documented setup difference
GPT-5.564.543 %Winner
Gemini 3.5 Flash63.548 %
Finance Agent (v2)Overall. Higher is better. No documented setup difference
GPT-5.551.76 %
Gemini 3.5 Flash57.861 %Winner
GAIA ReliabilityAccuracy. Higher is better. No documented setup difference
GPT-5.562.8 %
Gemini 3.5 Flash79.2 %Winner
GPQA DiamondOverall. Higher is better. No documented setup difference
GPT-5.593.182 %Winner
Gemini 3.5 Flash92.676 %
Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. No documented setup difference
GPT-5.53.75 %Winner
Gemini 3.5 Flash2.5 %
Legal Research BenchOverall · All-pass. Higher is better. No documented setup difference
GPT-5.540.385 %Winner
Gemini 3.5 Flash30.769 %
LegalBenchOverall. Higher is better. No documented setup difference
GPT-5.586.515 %Winner
Gemini 3.5 Flash83.602 %
LiveCodeBench v6Overall. Higher is better. No documented setup difference
GPT-5.585.296 %
Gemini 3.5 Flash87.604 %Winner
| Benchmark and task | GPT-5.5 | Gemini 3.5 Flash | Comparability | Source |
|---|---|---|---|---|
| Arena Text, Style ControlOverallReasoning: high | 1,481.794 arena pointsNo clear lead 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. | 1,477.219 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. | style-control-v1style-controlled Bradley-Terry ratingHigher is betterCohort: lmarena-text-style-control:2026-08-12:overallNo documented setup differenceNo clear leadGPT-5.5: Snapshot: gpt-5.5-high, Reasoning: high, Harness: Arena text, style control Gemini 3.5 Flash: Snapshot: gemini-3.5-flash-high, Reasoning: high, Harness: Arena text, style controlGPT-5.5: Style-controlled Arena rating from 55,322 anonymous pairwise votes.Gemini 3.5 Flash: Style-controlled Arena rating from 25,746 anonymous pairwise votes. | ArenaType: Official benchmark leaderboardLeaderboard updated: 2026-08-12Import ID: lmarena-eeedf9209373a7f9b324bfb839e7b02fedacd1e5-1611ed64f3f1Retrieved 2026-08-16 |
| Code MigrationOverall | 45.161 %Winner | 26.745 % | 1accuracyHigher is betterCohort: vals-code-migration:1:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: No further settings disclosed Gemini 3.5 Flash: 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 | 64.686 % | 2accuracyHigher is betterCohort: vals-corp-fin-v2:2:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: No further settings disclosed Gemini 3.5 Flash: 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 | 69.331 % | 1accuracyHigher is betterCohort: vals-cyberbench:1:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: No further settings disclosed Gemini 3.5 Flash: 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 | 63.548 % | 1accuracyHigher is betterCohort: vals-emb:1:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: No further settings disclosed Gemini 3.5 Flash: 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 % | 57.861 %Winner | 2accuracyHigher is betterCohort: vals-finance-agent-v2:2:overallNo documented setup differenceWinner: Gemini 3.5 FlashGPT-5.5: No further settings disclosed Gemini 3.5 Flash: 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 % | 79.2 %Winner | final leak-cleaned public validation setexact-match accuracyHigher is betterCohort: hal-gaia-reliability-hal-reliability-overallNo documented setup differenceWinner: Gemini 3.5 FlashGPT-5.5: Agent: HAL Reliability, Harness: HAL Reliability Gemini 3.5 Flash: 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-2026-08-06-04b16718a8e7Retrieved 2026-08-06 |
| GPQA DiamondOverall | 93.182 %Winner | 92.676 % | 1accuracyHigher is betterCohort: vals-gpqa:1:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: No further settings disclosed Gemini 3.5 Flash: 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 | 2.5 % | 1task resolution rateHigher is betterCohort: vals-legal-agent-benchmark:1:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: No further settings disclosed Gemini 3.5 Flash: 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 | 30.769 % | 1all-pass rateHigher is betterCohort: vals-legal-research:1:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: No further settings disclosed Gemini 3.5 Flash: 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 %Winner | 83.602 % | 1accuracyHigher is betterCohort: vals-legal-bench:1:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: No further settings disclosed Gemini 3.5 Flash: 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 % | 87.604 %Winner | 1accuracyHigher is betterCohort: vals-lcb:1:overallNo documented setup differenceWinner: Gemini 3.5 FlashGPT-5.5: No further settings disclosed Gemini 3.5 Flash: 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 % | 55.825 %Winner | 1accuracyHigher is betterCohort: vals-medcode:1:overallNo documented setup differenceWinner: Gemini 3.5 FlashGPT-5.5: No further settings disclosed Gemini 3.5 Flash: 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 | 76.574 % | 1accuracyHigher is betterCohort: vals-medscribe:1:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: No further settings disclosed Gemini 3.5 Flash: 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 % | 89.515 %Winner | 1accuracyHigher is betterCohort: vals-mmlu-pro:1:overallNo documented setup differenceWinner: Gemini 3.5 FlashGPT-5.5: No further settings disclosed Gemini 3.5 Flash: 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 %Tie | 88.266 %Tie | 1accuracyHigher is betterCohort: vals-mmmu:1:overallNo documented setup differenceTieGPT-5.5: No further settings disclosed Gemini 3.5 Flash: 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 %Winner | 68.124 % | 1accuracyHigher is betterCohort: vals-mortgage-tax:1:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: No further settings disclosed Gemini 3.5 Flash: 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 3.5 Flash: 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 | 59.472 % | 1.1accuracyHigher is betterCohort: vals-snap:1.1:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: No further settings disclosed Gemini 3.5 Flash: 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 | 49.885 % | 1accuracyHigher is betterCohort: vals-sage:1:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: No further settings disclosed Gemini 3.5 Flash: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-sage-2026-08-16-a416dd25affbRetrieved 2026-08-16 |
| SkillsBenchOverall | 62.209 %Winner | 52.737 % | 1accuracyHigher is betterCohort: vals-skillsbench:1:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: Harness: OpenHands Gemini 3.5 Flash: Harness: OpenHands | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-13Import ID: vals-skillsbench-2026-08-16-4917a67268d2Retrieved 2026-08-16 |
| SWE-bench VerifiedOverall | 82.6 %Winner Editorial selection from the Vals AI table, not a complete extract of the comparison cohort. | 78.8 % Editorial selection from the Vals AI table, not a complete extract of the comparison cohort. | VerifiedresolvedHigher is betterCohort: swe-verified-vals-mini-swe-agent-2026-07-31No documented setup differenceWinner: GPT-5.5GPT-5.5: Agent: mini-SWE-agent, Harness: mini-SWE-agent Gemini 3.5 Flash: Agent: mini-SWE-agent, Harness: mini-SWE-agentShared mini-SWE-agent harness with bash tools. | Vals AIType: Independent evaluationLeaderboard updated: 2026-07-31Import ID: curated-vals-ai-2026-08-01-6a0e222c165d / curated-vals-ai-2026-08-01-be04c9653692Retrieved 2026-08-01 |
| TaxEval v2Overall | 74.98 %Winner | 74.366 % | 2accuracyHigher is betterCohort: vals-tax-eval-v2:2:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: No further settings disclosed Gemini 3.5 Flash: 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 3.5 Flash: 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 | 74.157 % | 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 3.5 Flash: 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 | 53.079 % | 2weighted index scoreHigher is betterCohort: vals-vals-index:2:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: No further settings disclosed Gemini 3.5 Flash: 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 | 62.928 % | 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 3.5 Flash: 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 | 48.683 % | 1.1accuracyHigher is betterCohort: vals-vibe-code-bench:1.1:overallNo documented setup differenceWinner: GPT-5.5GPT-5.5: Harness: OpenHands Gemini 3.5 Flash: 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 % | 80.8 %Winner | 26-task cleaned subsettask success rateHigher is betterCohort: hal-tau-airline-clean-hal-reliability-overallNo documented setup differenceWinner: Gemini 3.5 FlashGPT-5.5: Agent: HAL Reliability, Harness: HAL Reliability Gemini 3.5 Flash: 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-2026-08-05-8023c329706fRetrieved 2026-08-05 |
| Arena Text, Style ControlBusiness, management and financeReasoning: high | 1,489.293 arena pointsWinner 95% confidence interval: ±6.974The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | 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. | 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 differenceWinner: GPT-5.5GPT-5.5: Snapshot: gpt-5.5-high, Reasoning: high, Harness: Arena text, style control Gemini 3.5 Flash: Snapshot: gemini-3.5-flash-high, Reasoning: high, Harness: Arena text, style controlGPT-5.5: Style-controlled Arena rating from 11,166 anonymous pairwise votes.Gemini 3.5 Flash: Style-controlled Arena rating from 5,150 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 | 17.175 % | 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 3.5 Flash: 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 | 62.821 % | 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 3.5 Flash: 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 | 81.034 % | 1accuracyHigher is betterCohort: vals-cyberbench:1:patchNo documented setup differenceWinner: GPT-5.5GPT-5.5: No further settings disclosed Gemini 3.5 Flash: 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 % | 69.788 %Higher measured value | 1accuracyHigher is betterCohort: vals-emb:1:compsTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens Gemini 3.5 Flash: 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 % | 54.869 %Higher measured value | 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 3.5 Flash: 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 | 0.75 rating pointsWinner | final leak-cleaned public validation setaggregate consistencyHigher is betterCohort: hal-gaia-reliability-hal-reliability-consistencyNo documented setup differenceWinner: Gemini 3.5 FlashGPT-5.5: Agent: HAL Reliability, Harness: HAL Reliability Gemini 3.5 Flash: 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-e688b934dbf7Retrieved 2026-08-06 |
| GPQA DiamondFew-Shot CoT | 93.434 %Higher measured value | 91.414 % | 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 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-gpqa-2026-08-11-d3325290a404Retrieved 2026-08-11 |
| Harvey's Legal Agent BenchmarkAntitrust Competition · Criteria passed | 82.246 % | 84.42 %Higher measured value | 1criteria pass rateHigher is betterCohort: vals-legal-agent-benchmark:1:criteria_pass_rate__antitrust_competitionTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-07Import ID: vals-hlab-2026-08-11-ea11b6e53414Retrieved 2026-08-11 |
| Legal Research BenchAdministrative / Regulatory · All-pass | 53.03 %Higher measured value | 43.939 % | 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 3.5 Flash: 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 | 81.939 % | 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 3.5 Flash: 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 3.5 Flash: 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 %Higher measured value | 93.863 % | 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 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-mmlu_pro-2026-08-11-b8e53828d746Retrieved 2026-08-11 |
| MortgageTaxNumerical Extraction | 76.153 % | 77.504 %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 3.5 Flash: 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 | 1.5 % | 1accuracyHigher is betterCohort: vals-programbench:1:almostTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens Gemini 3.5 Flash: 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 | 38.492 % | 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 3.5 Flash: 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 |
| SkillsBenchNo Skills | 49.875 %Higher measured value | 40.971 % | 1accuracyHigher is betterCohort: vals-skillsbench:1:no_skillsTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Harness: OpenHands, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Harness: OpenHands, Temperature: 1, Output limit: 65,536 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-07Import ID: vals-skillsbench-2026-08-11-351bec9d0e01Retrieved 2026-08-11 |
| 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 3.5 Flash: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-swebench-2026-08-16-c133071b8167Retrieved 2026-08-16 |
| TaxEval v2Correctness | 65.495 %Higher measured value | 61.897 % | 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 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 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 3.5 Flash: 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 % | 100 %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 3.5 Flash: 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 | 64.569 % | 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 3.5 Flash: 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 | 64.569 % | 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 3.5 Flash: 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 | 0.78 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 3.5 Flash: 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-2026-08-05-1e9fbd126e3dRetrieved 2026-08-05 |
| Arena Text, Style ControlChineseReasoning: high | 1,520.315 arena points 95% confidence interval: ±11.711The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | 1,523.669 arena pointsNo clear lead 95% confidence interval: ±15.749The 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:chineseNo documented setup differenceNo clear leadGPT-5.5: Snapshot: gpt-5.5-high, Reasoning: high, Harness: Arena text, style control Gemini 3.5 Flash: Snapshot: gemini-3.5-flash-high, Reasoning: high, Harness: Arena text, style controlGPT-5.5: Style-controlled Arena rating from 3,122 anonymous pairwise votes.Gemini 3.5 Flash: Style-controlled Arena rating from 1,655 anonymous pairwise votes. | ArenaType: Official benchmark leaderboardLeaderboard updated: 2026-08-12Import ID: lmarena-eeedf9209373a7f9b324bfb839e7b02fedacd1e5-1611ed64f3f1Retrieved 2026-08-16 |
| Code MigrationCOBOL | 70 %Higher measured value | 55.455 % | 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 3.5 Flash: 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 | 66.667 % | 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 3.5 Flash: 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 | 57.627 % | 1accuracyHigher is betterCohort: vals-cyberbench:1:pocNo documented setup differenceWinner: GPT-5.5GPT-5.5: No further settings disclosed Gemini 3.5 Flash: 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 | 80.921 % | 1accuracyHigher is betterCohort: vals-emb:1:dataroomTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens Gemini 3.5 Flash: 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 % | 45.706 %Higher measured value | 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 3.5 Flash: 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 pointsTie | 0.8 rating pointsTie | final leak-cleaned public validation setaggregate predictabilityHigher is betterCohort: hal-gaia-reliability-hal-reliability-predictabilityNo documented setup differenceTieGPT-5.5: Agent: HAL Reliability, Harness: HAL Reliability Gemini 3.5 Flash: 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-2026-08-06-13cadabbccdbRetrieved 2026-08-06 |
| GPQA DiamondZero-Shot CoT | 92.929 % | 93.939 %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 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-gpqa-2026-08-11-d3325290a404Retrieved 2026-08-11 |
| Harvey's Legal Agent BenchmarkAntitrust Competition · Task fully resolved | 0 %No direct winner | 0 %No direct winner | 1task resolution rateHigher is betterCohort: vals-legal-agent-benchmark:1:antitrust_competitionTest setup not documented as identicalNo direct winnerGPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens Gemini 3.5 Flash: Reasoning: high, Temperature: 1, Output limit: 65,536 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-07Import ID: vals-hlab-2026-08-11-ea11b6e53414Retrieved 2026-08-11 |
| Legal Research BenchAdministrative / Regulatory · Weighted partial credit | 86.669 % | 87.126 %Higher measured value | 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 3.5 Flash: 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 % | 88.675 %Higher measured value | 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 3.5 Flash: 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 |
The table shows 64 diversified result series from 219 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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