Head-to-head comparison
MiMo-V2.5 vs. MiMo-V2.5-Pro
Compare published benchmark results from matching versions and cohorts, API pricing, and technical specifications. Any documented test setup differences remain visible.
101
shared result series
19
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 | MiMo-V2.5 | MiMo-V2.5-Pro |
|---|---|---|
| Provider | Xiaomi | Xiaomi |
| Released | Apr 23, 2026 | Apr 23, 2026 |
| Availability | Open Source | Open Source |
| Model type | Open Weights | Open Weights |
| Parameters | Not published | 1T, 42B active |
| Architecture | Mixture of Experts | Mixture of Experts |
| Context window | 1,000,000 tokens | 1,000,000 tokens |
| Knowledge cutoff | Not published | Not published |
| Technical sources | Model, Context | Model |
| API pricing per 1M tokens | ||
| API input | $0.14 | $0.43 |
| API output | $0.28 | $0.87 |
| Cache read | $0. | $0. |
| Cache write (5 min.) | Not listed | Not listed |
| Cache write (1 hr.) | Not listed | Not listed |
| Price verified | 07/31/2026Source | 07/31/2026Source |
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.
| Benchmark and task | MiMo-V2.5 | MiMo-V2.5-Pro | Comparability | Source |
|---|---|---|---|---|
| Arena Text, Style ControlOverall | 1,434.021 arena points 95% confidence interval: ±4.35The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | 1,467.876 arena pointsWinner 95% confidence interval: ±4.128The 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: MiMo-V2.5-ProMiMo-V2.5: Snapshot: mimo-v2.5, Harness: Arena text, style control MiMo-V2.5-Pro: Snapshot: mimo-v2.5-pro, Harness: Arena text, style controlMiMo-V2.5: Style-controlled Arena rating from 44,628 anonymous pairwise votes.MiMo-V2.5-Pro: Style-controlled Arena rating from 50,613 anonymous pairwise votes. | ArenaType: Official benchmark leaderboardLeaderboard updated: 2026-08-12Import ID: lmarena-eeedf9209373a7f9b324bfb839e7b02fedacd1e5-1611ed64f3f1Retrieved 2026-08-16 |
| Code MigrationOverall | 14.228 % | 21.557 %Winner | 1accuracyHigher is betterCohort: vals-code-migration:1:overallNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: No further settings disclosed MiMo-V2.5-Pro: 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 | 59.907 % | 61.422 %Winner | 2accuracyHigher is betterCohort: vals-corp-fin-v2:2:overallNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: No further settings disclosed MiMo-V2.5-Pro: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-corp_fin_v2-2026-08-16-45bbf84f57abRetrieved 2026-08-16 |
| EMBOverall | 55.092 % | 55.228 %Winner | 1accuracyHigher is betterCohort: vals-emb:1:overallNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: No further settings disclosed MiMo-V2.5-Pro: 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 | 36.728 % | 41.502 %Winner | 2accuracyHigher is betterCohort: vals-finance-agent-v2:2:overallNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: No further settings disclosed MiMo-V2.5-Pro: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-14Import ID: vals-fabv2-2026-08-16-8853da43085dRetrieved 2026-08-16 |
| GPQA DiamondOverall | 81.566 % | 82.576 %Winner | 1accuracyHigher is betterCohort: vals-gpqa:1:overallNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: No further settings disclosed MiMo-V2.5-Pro: 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 | 1.667 % | 2.083 %Winner | 1task resolution rateHigher is betterCohort: vals-legal-agent-benchmark:1:overallNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: No further settings disclosed MiMo-V2.5-Pro: 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 | 9.135 % | 15.865 %Winner | 1all-pass rateHigher is betterCohort: vals-legal-research:1:overallNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: No further settings disclosed MiMo-V2.5-Pro: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-14Import ID: vals-legal_research-2026-08-16-af296c00ecaaRetrieved 2026-08-16 |
| LegalBenchOverall | 78.886 %Winner | 77.129 % | 1accuracyHigher is betterCohort: vals-legal-bench:1:overallNo documented setup differenceWinner: MiMo-V2.5MiMo-V2.5: No further settings disclosed MiMo-V2.5-Pro: 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 | 81.512 %Winner | 81.354 % | 1accuracyHigher is betterCohort: vals-lcb:1:overallNo documented setup differenceWinner: MiMo-V2.5MiMo-V2.5: No further settings disclosed MiMo-V2.5-Pro: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-13Import ID: vals-lcb-2026-08-16-17b9c147080dRetrieved 2026-08-16 |
| MedCodeOverall | 31.895 % | 32.484 %Winner | 1accuracyHigher is betterCohort: vals-medcode:1:overallNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: No further settings disclosed MiMo-V2.5-Pro: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-medcode-2026-08-16-524f7f474eacRetrieved 2026-08-16 |
| MedScribeOverall | 72.151 % | 83.73 %Winner | 1accuracyHigher is betterCohort: vals-medscribe:1:overallNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: No further settings disclosed MiMo-V2.5-Pro: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-medscribe-2026-08-16-c385354a7e62Retrieved 2026-08-16 |
| MMLU-ProOverall | 82.931 % | 84.595 %Winner | 1accuracyHigher is betterCohort: vals-mmlu-pro:1:overallNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: No further settings disclosed MiMo-V2.5-Pro: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-mmlu_pro-2026-08-16-e14d5bb3a34cRetrieved 2026-08-16 |
| ProofBenchOverall | 16 % | 22 %Winner | 1.1accuracyHigher is betterCohort: vals-proof-bench:1.1:overallNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: No further settings disclosed MiMo-V2.5-Pro: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-14Import ID: vals-proof_bench-2026-08-16-14232db24de1Retrieved 2026-08-16 |
| SWE-bench VerifiedOverall | 71 % | 74 %Winner | 1accuracyHigher is betterCohort: vals-swebench:1:overallNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: No further settings disclosed MiMo-V2.5-Pro: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-swebench-2026-08-16-c133071b8167Retrieved 2026-08-16 |
| TaxEval v2Overall | 71.832 % | 73.794 %Winner | 2accuracyHigher is betterCohort: vals-tax-eval-v2:2:overallNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: No further settings disclosed MiMo-V2.5-Pro: 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 2.1Overall | 60.674 %Winner | 57.303 % | 2.1accuracyHigher is betterCohort: vals-terminal-bench-2-1:2.1:overallNo documented setup differenceWinner: MiMo-V2.5MiMo-V2.5: No further settings disclosed MiMo-V2.5-Pro: 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 | 39.91 % | 40.974 %Winner | 2weighted index scoreHigher is betterCohort: vals-vals-index:2:overallNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: No further settings disclosed MiMo-V2.5-Pro: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-14Import ID: vals-vals_index-2026-08-16-ab641d89d6edRetrieved 2026-08-16 |
| Vibe Code Bench v1.1Overall | 42.174 %Winner | 34.113 % | 1.1accuracyHigher is betterCohort: vals-vibe-code-bench:1.1:overallNo documented setup differenceWinner: MiMo-V2.5MiMo-V2.5: Harness: OpenHands MiMo-V2.5-Pro: Harness: OpenHands | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-13Import ID: vals-vibe-code-2026-08-16-a73c9770bcc4Retrieved 2026-08-16 |
| Arena Text, Style ControlBusiness, management and finance | 1,442.81 arena points 95% confidence interval: ±7.454The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | 1,470.913 arena pointsWinner 95% confidence interval: ±7.118The 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: MiMo-V2.5-ProMiMo-V2.5: Snapshot: mimo-v2.5, Harness: Arena text, style control MiMo-V2.5-Pro: Snapshot: mimo-v2.5-pro, Harness: Arena text, style controlMiMo-V2.5: Style-controlled Arena rating from 9,122 anonymous pairwise votes.MiMo-V2.5-Pro: Style-controlled Arena rating from 10,018 anonymous pairwise votes. | ArenaType: Official benchmark leaderboardLeaderboard updated: 2026-08-12Import ID: lmarena-eeedf9209373a7f9b324bfb839e7b02fedacd1e5-1611ed64f3f1Retrieved 2026-08-16 |
| Code MigrationCLI | 9.88 % | 13.981 %Winner | 1accuracyHigher is betterCohort: vals-code-migration:1:cliNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-code-migration-2026-08-11-3a2d5ce718a3Retrieved 2026-08-11 |
| CorpFin v2Exact Pages | 59.441 % | 60.373 %Winner | 2accuracyHigher is betterCohort: vals-corp-fin-v2:2:exact_pagesNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-corp_fin_v2-2026-08-11-d9e58d191cd9Retrieved 2026-08-11 |
| Finance Agent (v2)Adjustments | 31.746 % | 34.386 %Winner | 2accuracyHigher is betterCohort: vals-finance-agent-v2:2:adjustmentsNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-fabv2-2026-08-11-3e5c93a1857cRetrieved 2026-08-11 |
| GPQA DiamondFew-Shot CoT | 79.798 % | 80.808 %Winner | 1accuracyHigher is betterCohort: vals-gpqa:1:diamond_few_shot_cotNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-gpqa-2026-08-11-d3325290a404Retrieved 2026-08-11 |
| LegalBenchConclusion Tasks | 86.386 % | 88.031 %Winner | 1accuracyHigher is betterCohort: vals-legal-bench:1:conclusion_tasksNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 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 %Winner | 1accuracyHigher is betterCohort: vals-lcb:1:easyNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-lcb-2026-08-11-0342bcc364e4Retrieved 2026-08-11 |
| MMLU-ProBiology | 90.237 % | 92.469 %Winner | 1accuracyHigher is betterCohort: vals-mmlu-pro:1:biologyNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-mmlu_pro-2026-08-11-b8e53828d746Retrieved 2026-08-11 |
| SWE-bench Verified<15 min fix | 80.928 % | 82.474 %Winner | 1accuracyHigher is betterCohort: vals-swebench:1:<15 min fixNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-08Import ID: vals-swebench-2026-08-11-a6212cd857d8Retrieved 2026-08-11 |
| TaxEval v2Correctness | 60.752 % | 63.123 %Winner | 2accuracyHigher is betterCohort: vals-tax-eval-v2:2:correctnessNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-tax_eval_v2-2026-08-11-d05a40bf446fRetrieved 2026-08-11 |
| Terminal-Bench 2.1Easy | 100 %Winner | 75 % | 2.1accuracyHigher is betterCohort: vals-terminal-bench-2-1:2.1:easyNo documented setup differenceWinner: MiMo-V2.5MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 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 | 60.14 % | 62.471 %Winner | 1.2benchmark scoreHigher is betterCohort: vals-vals-index:1.2:corp_fin_v2No documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-vals_index-2026-08-11-e79d08d59249Retrieved 2026-08-11 |
| Arena Text, Style ControlChinese | 1,484.784 arena points 95% confidence interval: ±13.546The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | 1,511.817 arena pointsWinner 95% confidence interval: ±12.271The 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 differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Snapshot: mimo-v2.5, Harness: Arena text, style control MiMo-V2.5-Pro: Snapshot: mimo-v2.5-pro, Harness: Arena text, style controlMiMo-V2.5: Style-controlled Arena rating from 2,159 anonymous pairwise votes.MiMo-V2.5-Pro: Style-controlled Arena rating from 2,736 anonymous pairwise votes. | ArenaType: Official benchmark leaderboardLeaderboard updated: 2026-08-12Import ID: lmarena-eeedf9209373a7f9b324bfb839e7b02fedacd1e5-1611ed64f3f1Retrieved 2026-08-16 |
| Code MigrationCOBOL | 27.273 % | 44.286 %Winner | 1accuracyHigher is betterCohort: vals-code-migration:1:cobolNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-code-migration-2026-08-11-3a2d5ce718a3Retrieved 2026-08-11 |
| CorpFin v2Max Fitting Context | 60.14 % | 61.422 %Winner | 2accuracyHigher is betterCohort: vals-corp-fin-v2:2:max_fitting_contextNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-corp_fin_v2-2026-08-11-d9e58d191cd9Retrieved 2026-08-11 |
| Finance Agent (v2)All-Pass | 23.785 % | 28.848 %Winner | 2accuracyHigher is betterCohort: vals-finance-agent-v2:2:all_passNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-fabv2-2026-08-11-3e5c93a1857cRetrieved 2026-08-11 |
| GPQA DiamondZero-Shot CoT | 83.333 % | 84.343 %Winner | 1accuracyHigher is betterCohort: vals-gpqa:1:diamond_zero_shot_cotNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-gpqa-2026-08-11-d3325290a404Retrieved 2026-08-11 |
| LegalBenchInterpretation Tasks | 74.351 % | 79.497 %Winner | 1accuracyHigher is betterCohort: vals-legal-bench:1:interpretation_tasksNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-legal_bench-2026-08-11-836e5e44618eRetrieved 2026-08-11 |
| LiveCodeBench v6Hard | 59.143 %Winner | 58.571 % | 1accuracyHigher is betterCohort: vals-lcb:1:hardNo documented setup differenceWinner: MiMo-V2.5MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-lcb-2026-08-11-0342bcc364e4Retrieved 2026-08-11 |
| MMLU-ProBusiness | 89.227 % | 89.987 %Winner | 1accuracyHigher is betterCohort: vals-mmlu-pro:1:businessNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-mmlu_pro-2026-08-11-b8e53828d746Retrieved 2026-08-11 |
| SWE-bench Verified>4 hours | 0 % | 33.333 %Winner | 1accuracyHigher is betterCohort: vals-swebench:1:>4 hoursNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-08Import ID: vals-swebench-2026-08-11-a6212cd857d8Retrieved 2026-08-11 |
| TaxEval v2Stepwise Reasoning | 82.911 % | 84.464 %Winner | 2accuracyHigher is betterCohort: vals-tax-eval-v2:2:stepwise_reasoningNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-tax_eval_v2-2026-08-11-d05a40bf446fRetrieved 2026-08-11 |
| Terminal-Bench 2.1Hard | 36.667 % | 40 %Winner | 2.1accuracyHigher is betterCohort: vals-terminal-bench-2-1:2.1:hardNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-terminal-bench-2-1-2026-08-11-8f0ebd72a609Retrieved 2026-08-11 |
| Vals IndexFinance Agent v2 | 37.61 % | 41.243 %Winner | 1.2benchmark scoreHigher is betterCohort: vals-vals-index:1.2:finance_agentNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-vals_index-2026-08-11-e79d08d59249Retrieved 2026-08-11 |
| Arena Text, Style ControlCoding | 1,491.103 arena points 95% confidence interval: ±6.694The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | 1,520.126 arena pointsWinner 95% confidence interval: ±6.518The 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:codingNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Snapshot: mimo-v2.5, Harness: Arena text, style control MiMo-V2.5-Pro: Snapshot: mimo-v2.5-pro, Harness: Arena text, style controlMiMo-V2.5: Style-controlled Arena rating from 12,905 anonymous pairwise votes.MiMo-V2.5-Pro: Style-controlled Arena rating from 13,962 anonymous pairwise votes. | ArenaType: Official benchmark leaderboardLeaderboard updated: 2026-08-12Import ID: lmarena-eeedf9209373a7f9b324bfb839e7b02fedacd1e5-1611ed64f3f1Retrieved 2026-08-16 |
| Code MigrationCode Quality | 2.788 / 5 | 3.382 / 5Winner | 1mean reviewer code-quality ratingHigher is betterCohort: vals-code-migration:1:code_qualityNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-code-migration-2026-08-11-3a2d5ce718a3Retrieved 2026-08-11 |
| CorpFin v2Shared Max Context | 60.14 % | 62.471 %Winner | 2accuracyHigher is betterCohort: vals-corp-fin-v2:2:shared_max_contextNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-corp_fin_v2-2026-08-11-d9e58d191cd9Retrieved 2026-08-11 |
| Finance Agent (v2)Comparables | 31.672 % | 40.15 %Winner | 2accuracyHigher is betterCohort: vals-finance-agent-v2:2:comparablesNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-fabv2-2026-08-11-3e5c93a1857cRetrieved 2026-08-11 |
| LegalBenchIssue Tasks | 86.337 %Winner | 80.173 % | 1accuracyHigher is betterCohort: vals-legal-bench:1:issue_tasksNo documented setup differenceWinner: MiMo-V2.5MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-legal_bench-2026-08-11-836e5e44618eRetrieved 2026-08-11 |
| LiveCodeBench v6Medium | 86.945 %Winner | 86.423 % | 1accuracyHigher is betterCohort: vals-lcb:1:mediumNo documented setup differenceWinner: MiMo-V2.5MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-lcb-2026-08-11-0342bcc364e4Retrieved 2026-08-11 |
| MMLU-ProChemistry | 89.841 % | 90.459 %Winner | 1accuracyHigher is betterCohort: vals-mmlu-pro:1:chemistryNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-mmlu_pro-2026-08-11-b8e53828d746Retrieved 2026-08-11 |
| SWE-bench Verified1-4 hours | 33.333 %Tie | 33.333 %Tie | 1accuracyHigher is betterCohort: vals-swebench:1:1-4 hoursNo documented setup differenceTieMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-08Import ID: vals-swebench-2026-08-11-a6212cd857d8Retrieved 2026-08-11 |
| Terminal-Bench 2.1Medium | 70.909 %Winner | 65.455 % | 2.1accuracyHigher is betterCohort: vals-terminal-bench-2-1:2.1:mediumNo documented setup differenceWinner: MiMo-V2.5MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-terminal-bench-2-1-2026-08-11-8f0ebd72a609Retrieved 2026-08-11 |
| Vals IndexSWE-bench | 64.706 % | 66.667 %Winner | 1.2benchmark scoreHigher is betterCohort: vals-vals-index:1.2:swebenchNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: No further settings disclosed MiMo-V2.5-Pro: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-vals_index-2026-08-11-e79d08d59249Retrieved 2026-08-11 |
| Arena Text, Style ControlCreative writing | 1,393.97 arena points 95% confidence interval: ±8.032The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | 1,433.675 arena pointsWinner 95% confidence interval: ±7.575The 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:creative_writingNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Snapshot: mimo-v2.5, Harness: Arena text, style control MiMo-V2.5-Pro: Snapshot: mimo-v2.5-pro, Harness: Arena text, style controlMiMo-V2.5: Style-controlled Arena rating from 7,336 anonymous pairwise votes.MiMo-V2.5-Pro: Style-controlled Arena rating from 8,652 anonymous pairwise votes. | ArenaType: Official benchmark leaderboardLeaderboard updated: 2026-08-12Import ID: lmarena-eeedf9209373a7f9b324bfb839e7b02fedacd1e5-1611ed64f3f1Retrieved 2026-08-16 |
| Finance Agent (v2)Disclosure Analysis | 47.346 % | 53.148 %Winner | 2accuracyHigher is betterCohort: vals-finance-agent-v2:2:disclosure_analysisNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-fabv2-2026-08-11-3e5c93a1857cRetrieved 2026-08-11 |
| LegalBenchRhetoric Tasks | 77.776 %Winner | 64.964 % | 1accuracyHigher is betterCohort: vals-legal-bench:1:rhetoric_tasksNo documented setup differenceWinner: MiMo-V2.5MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-legal_bench-2026-08-11-836e5e44618eRetrieved 2026-08-11 |
| MMLU-ProComputer Science | 86.585 % | 88.049 %Winner | 1accuracyHigher is betterCohort: vals-mmlu-pro:1:computer_scienceNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-mmlu_pro-2026-08-11-b8e53828d746Retrieved 2026-08-11 |
| SWE-bench Verified15 min - 1 hour | 70.498 % | 74.713 %Winner | 1accuracyHigher is betterCohort: vals-swebench:1:15 min - 1 hourNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-08Import ID: vals-swebench-2026-08-11-a6212cd857d8Retrieved 2026-08-11 |
| Vals IndexTerminal-Bench 2.1 | 60.674 %Winner | 57.303 % | 1.2benchmark scoreHigher is betterCohort: vals-vals-index:1.2:terminal_bench_2_1No documented setup differenceWinner: MiMo-V2.5MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-vals_index-2026-08-11-e79d08d59249Retrieved 2026-08-11 |
| Arena Text, Style ControlEnglish | 1,453.043 arena points 95% confidence interval: ±5.602The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | 1,482.21 arena pointsWinner 95% confidence interval: ±5.356The 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:englishNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Snapshot: mimo-v2.5, Harness: Arena text, style control MiMo-V2.5-Pro: Snapshot: mimo-v2.5-pro, Harness: Arena text, style controlMiMo-V2.5: Style-controlled Arena rating from 20,269 anonymous pairwise votes.MiMo-V2.5-Pro: Style-controlled Arena rating from 22,059 anonymous pairwise votes. | ArenaType: Official benchmark leaderboardLeaderboard updated: 2026-08-12Import ID: lmarena-eeedf9209373a7f9b324bfb839e7b02fedacd1e5-1611ed64f3f1Retrieved 2026-08-16 |
| Finance Agent (v2)Earnings Analysis | 45.006 % | 54.614 %Winner | 2accuracyHigher is betterCohort: vals-finance-agent-v2:2:earnings_analysisNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-fabv2-2026-08-11-3e5c93a1857cRetrieved 2026-08-11 |
| LegalBenchRule Tasks | 69.582 % | 72.98 %Winner | 1accuracyHigher is betterCohort: vals-legal-bench:1:rule_tasksNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-legal_bench-2026-08-11-836e5e44618eRetrieved 2026-08-11 |
| MMLU-ProEconomics | 86.73 % | 87.915 %Winner | 1accuracyHigher is betterCohort: vals-mmlu-pro:1:economicsNo documented setup differenceWinner: MiMo-V2.5-ProMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-mmlu_pro-2026-08-11-b8e53828d746Retrieved 2026-08-11 |
| Vals IndexVibe Code Bench | 48.148 %Winner | 36.321 % | 1.2benchmark scoreHigher is betterCohort: vals-vals-index:1.2:vibe_code_benchNo documented setup differenceWinner: MiMo-V2.5MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-vals_index-2026-08-11-e79d08d59249Retrieved 2026-08-11 |
The table shows 64 diversified result series from 101 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.
Prices use official API rates per 1M tokens. Web subscriptions and cloud platform surcharges can differ.
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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