Head-to-head comparison
GLM-5.2 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.
109
shared result series
18
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 | GLM-5.2 | MiMo-V2.5-Pro |
|---|---|---|
| Provider | Z.ai | Xiaomi |
| Released | Jun 16, 2026 | Apr 23, 2026 |
| Availability | Open Source | Open Source |
| Model type | Open Weights | Open Weights |
| Parameters | 744B, 40B active | 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 | $1.4 | $0.43 |
| API output | $4.4 | $0.87 |
| Cache read | $0.26 | $0. |
| Cache write (5 min.) | Not listed | Not listed |
| Cache write (1 hr.) | Not listed | Not listed |
| Price verified | 07/30/2026Source | 07/31/2026Source |
GLM-5.2MiMo-V2.5-Pro
API inputUSD per 1M tokens, base tier
GLM-5.2$1.4
MiMo-V2.5-Pro$0.435Lower price
API outputUSD per 1M tokens, base tier
GLM-5.2$4.4
MiMo-V2.5-Pro$0.87Lower price
Cache readUSD per 1M tokens, base tier
GLM-5.2$0.26
MiMo-V2.5-Pro$0.004Lower 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.
109 shared result series
GLM-5.2MiMo-V2.5-Pro
Arena Text, Style ControlOverall. Higher is better. Test setup not documented as identical
GLM-5.21,470.655 arena pointsHigher measured value
MiMo-V2.5-Pro1,467.876 arena points
Code MigrationOverall. Higher is better. No documented setup difference
GLM-5.237.87 %Winner
MiMo-V2.5-Pro21.557 %
CorpFin v2Overall. Higher is better. No documented setup difference
GLM-5.266.123 %Winner
MiMo-V2.5-Pro61.422 %
EMBOverall. Higher is better. No documented setup difference
GLM-5.261.532 %Winner
MiMo-V2.5-Pro55.228 %
Finance Agent (v2)Overall. Higher is better. No documented setup difference
GLM-5.249.699 %Winner
MiMo-V2.5-Pro41.502 %
GPQA DiamondOverall. Higher is better. No documented setup difference
GLM-5.285.606 %Winner
MiMo-V2.5-Pro82.576 %
Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. No documented setup difference
GLM-5.27.083 %Winner
MiMo-V2.5-Pro2.083 %
Legal Research BenchOverall · All-pass. Higher is better. No documented setup difference
GLM-5.231.25 %Winner
MiMo-V2.5-Pro15.865 %
LegalBenchOverall. Higher is better. No documented setup difference
GLM-5.284.073 %Winner
MiMo-V2.5-Pro77.129 %
LiveCodeBench v6Overall. Higher is better. No documented setup difference
GLM-5.269.5 %
MiMo-V2.5-Pro81.354 %Winner
MedCodeOverall. Higher is better. No documented setup difference
GLM-5.240.771 %Winner
MiMo-V2.5-Pro32.484 %
MedScribeOverall. Higher is better. No documented setup difference
GLM-5.283.534 %
MiMo-V2.5-Pro83.73 %Winner
| Benchmark and task | GLM-5.2 | MiMo-V2.5-Pro | Comparability | Source |
|---|---|---|---|---|
| Arena Text, Style ControlOverall | 1,470.655 arena pointsHigher measured value 95% confidence interval: ±5.045The 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 points 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:overallTest setup not documented as identicalNo direct winnerGLM-5.2: Snapshot: glm-5.2-max, Reasoning: max, Harness: Arena text, style control MiMo-V2.5-Pro: Snapshot: mimo-v2.5-pro, Harness: Arena text, style controlGLM-5.2: Style-controlled Arena rating from 26,867 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 | 37.87 %Winner | 21.557 % | 1accuracyHigher is betterCohort: vals-code-migration:1:overallNo documented setup differenceWinner: GLM-5.2GLM-5.2: 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 | 66.123 %Winner | 61.422 % | 2accuracyHigher is betterCohort: vals-corp-fin-v2:2:overallNo documented setup differenceWinner: GLM-5.2GLM-5.2: 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 | 61.532 %Winner | 55.228 % | 1accuracyHigher is betterCohort: vals-emb:1:overallNo documented setup differenceWinner: GLM-5.2GLM-5.2: 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 | 49.699 %Winner | 41.502 % | 2accuracyHigher is betterCohort: vals-finance-agent-v2:2:overallNo documented setup differenceWinner: GLM-5.2GLM-5.2: 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 | 85.606 %Winner | 82.576 % | 1accuracyHigher is betterCohort: vals-gpqa:1:overallNo documented setup differenceWinner: GLM-5.2GLM-5.2: 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 | 7.083 %Winner | 2.083 % | 1task resolution rateHigher is betterCohort: vals-legal-agent-benchmark:1:overallNo documented setup differenceWinner: GLM-5.2GLM-5.2: 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 | 31.25 %Winner | 15.865 % | 1all-pass rateHigher is betterCohort: vals-legal-research:1:overallNo documented setup differenceWinner: GLM-5.2GLM-5.2: 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 | 84.073 %Winner | 77.129 % | 1accuracyHigher is betterCohort: vals-legal-bench:1:overallNo documented setup differenceWinner: GLM-5.2GLM-5.2: 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 | 69.5 % | 81.354 %Winner | 1accuracyHigher is betterCohort: vals-lcb:1:overallNo documented setup differenceWinner: MiMo-V2.5-ProGLM-5.2: 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 | 40.771 %Winner | 32.484 % | 1accuracyHigher is betterCohort: vals-medcode:1:overallNo documented setup differenceWinner: GLM-5.2GLM-5.2: 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 | 83.534 % | 83.73 %Winner | 1accuracyHigher is betterCohort: vals-medscribe:1:overallNo documented setup differenceWinner: MiMo-V2.5-ProGLM-5.2: 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 | 86.714 %Winner | 84.595 % | 1accuracyHigher is betterCohort: vals-mmlu-pro:1:overallNo documented setup differenceWinner: GLM-5.2GLM-5.2: 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 |
| SWE-bench VerifiedOverall | 82.8 %Winner | 74 % | 1accuracyHigher is betterCohort: vals-swebench:1:overallNo documented setup differenceWinner: GLM-5.2GLM-5.2: 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 | 73.344 % | 73.794 %Winner | 2accuracyHigher is betterCohort: vals-tax-eval-v2:2:overallNo documented setup differenceWinner: MiMo-V2.5-ProGLM-5.2: 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 | 67.79 %Winner | 57.303 % | 2.1accuracyHigher is betterCohort: vals-terminal-bench-2-1:2.1:overallNo documented setup differenceWinner: GLM-5.2GLM-5.2: 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 | 53.122 %Winner | 40.974 % | 2weighted index scoreHigher is betterCohort: vals-vals-index:2:overallNo documented setup differenceWinner: GLM-5.2GLM-5.2: 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 | 63.961 %Winner | 34.113 % | 1.1accuracyHigher is betterCohort: vals-vibe-code-bench:1.1:overallNo documented setup differenceWinner: GLM-5.2GLM-5.2: 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 | 1,459.883 arena points 95% confidence interval: ±8.752The 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 pointsHigher measured value 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_operationsTest setup not documented as identicalNo direct winnerGLM-5.2: Snapshot: glm-5.2-max, Reasoning: max, Harness: Arena text, style control MiMo-V2.5-Pro: Snapshot: mimo-v2.5-pro, Harness: Arena text, style controlGLM-5.2: Style-controlled Arena rating from 5,374 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 | 27.16 %Higher measured value | 13.981 % | 1accuracyHigher is betterCohort: vals-code-migration:1:cliTest setup not documented as identicalNo direct winnerGLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 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 | 63.636 %Higher measured value | 60.373 % | 2accuracyHigher is betterCohort: vals-corp-fin-v2:2:exact_pagesTest setup not documented as identicalNo direct winnerGLM-5.2: No further settings disclosed 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 |
| EMBComps | 54.922 %Higher measured value | 47.341 % | 1accuracyHigher is betterCohort: vals-emb:1:compsTest setup not documented as identicalNo direct winnerGLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 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-emb-2026-08-11-e3c855e236e4Retrieved 2026-08-11 |
| Finance Agent (v2)Adjustments | 46.305 %Higher measured value | 34.386 % | 2accuracyHigher is betterCohort: vals-finance-agent-v2:2:adjustmentsTest setup not documented as identicalNo direct winnerGLM-5.2: No further settings disclosed 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 | 83.333 %Higher measured value | 80.808 % | 1accuracyHigher is betterCohort: vals-gpqa:1:diamond_few_shot_cotTest setup not documented as identicalNo direct winnerGLM-5.2: No further settings disclosed 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 | 88.587 %Higher measured value | 88.031 % | 1accuracyHigher is betterCohort: vals-legal-bench:1:conclusion_tasksTest setup not documented as identicalNo direct winnerGLM-5.2: No further settings disclosed 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 | 97.205 % | 99.068 %Higher measured value | 1accuracyHigher is betterCohort: vals-lcb:1:easyTest setup not documented as identicalNo direct winnerGLM-5.2: No further settings disclosed 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 | 94.003 %Higher measured value | 92.469 % | 1accuracyHigher is betterCohort: vals-mmlu-pro:1:biologyTest setup not documented as identicalNo direct winnerGLM-5.2: No further settings disclosed 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 | 88.144 %Higher measured value | 82.474 % | 1accuracyHigher is betterCohort: vals-swebench:1:<15 min fixTest setup not documented as identicalNo direct winnerGLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 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 | 62.061 % | 63.123 %Higher measured value | 2accuracyHigher is betterCohort: vals-tax-eval-v2:2:correctnessTest setup not documented as identicalNo direct winnerGLM-5.2: No further settings disclosed 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 %Higher measured value | 75 % | 2.1accuracyHigher is betterCohort: vals-terminal-bench-2-1:2.1:easyTest setup not documented as identicalNo direct winnerGLM-5.2: Reasoning: max, Temperature: 1, Top P: 1, Output limit: 48,000 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 | 66.317 %Higher measured value | 62.471 % | 1.2benchmark scoreHigher is betterCohort: vals-vals-index:1.2:corp_fin_v2Test setup not documented as identicalNo direct winnerGLM-5.2: No further settings disclosed 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 | 1,521.061 arena pointsHigher measured value 95% confidence interval: ±15.24The 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 points 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:chineseTest setup not documented as identicalNo direct winnerGLM-5.2: Snapshot: glm-5.2-max, Reasoning: max, Harness: Arena text, style control MiMo-V2.5-Pro: Snapshot: mimo-v2.5-pro, Harness: Arena text, style controlGLM-5.2: Style-controlled Arena rating from 1,662 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 | 70 %Higher measured value | 44.286 % | 1accuracyHigher is betterCohort: vals-code-migration:1:cobolTest setup not documented as identicalNo direct winnerGLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 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 | 68.415 %Higher measured value | 61.422 % | 2accuracyHigher is betterCohort: vals-corp-fin-v2:2:max_fitting_contextTest setup not documented as identicalNo direct winnerGLM-5.2: No further settings disclosed 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 |
| EMBDataroom | 83.444 %Higher measured value | 77.965 % | 1accuracyHigher is betterCohort: vals-emb:1:dataroomTest setup not documented as identicalNo direct winnerGLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 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-emb-2026-08-11-e3c855e236e4Retrieved 2026-08-11 |
| Finance Agent (v2)All-Pass | 38.006 %Higher measured value | 28.848 % | 2accuracyHigher is betterCohort: vals-finance-agent-v2:2:all_passTest setup not documented as identicalNo direct winnerGLM-5.2: No further settings disclosed 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 | 87.879 %Higher measured value | 84.343 % | 1accuracyHigher is betterCohort: vals-gpqa:1:diamond_zero_shot_cotTest setup not documented as identicalNo direct winnerGLM-5.2: No further settings disclosed 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 | 82.17 %Higher measured value | 79.497 % | 1accuracyHigher is betterCohort: vals-legal-bench:1:interpretation_tasksTest setup not documented as identicalNo direct winnerGLM-5.2: No further settings disclosed 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 | 37.143 % | 58.571 %Higher measured value | 1accuracyHigher is betterCohort: vals-lcb:1:hardTest setup not documented as identicalNo direct winnerGLM-5.2: No further settings disclosed 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 | 91.888 %Higher measured value | 89.987 % | 1accuracyHigher is betterCohort: vals-mmlu-pro:1:businessTest setup not documented as identicalNo direct winnerGLM-5.2: No further settings disclosed 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 | 66.667 %Higher measured value | 33.333 % | 1accuracyHigher is betterCohort: vals-swebench:1:>4 hoursTest setup not documented as identicalNo direct winnerGLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 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 | 84.628 %Higher measured value | 84.464 % | 2accuracyHigher is betterCohort: vals-tax-eval-v2:2:stepwise_reasoningTest setup not documented as identicalNo direct winnerGLM-5.2: No further settings disclosed 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 | 51.111 %Higher measured value | 40 % | 2.1accuracyHigher is betterCohort: vals-terminal-bench-2-1:2.1:hardTest setup not documented as identicalNo direct winnerGLM-5.2: Reasoning: max, Temperature: 1, Top P: 1, Output limit: 48,000 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 | 50.83 %Higher measured value | 41.243 % | 1.2benchmark scoreHigher is betterCohort: vals-vals-index:1.2:finance_agentTest setup not documented as identicalNo direct winnerGLM-5.2: No further settings disclosed 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 | 1,506.101 arena points 95% confidence interval: ±7.714The 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 pointsHigher measured value 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:codingTest setup not documented as identicalNo direct winnerGLM-5.2: Snapshot: glm-5.2-max, Reasoning: max, Harness: Arena text, style control MiMo-V2.5-Pro: Snapshot: mimo-v2.5-pro, Harness: Arena text, style controlGLM-5.2: Style-controlled Arena rating from 7,692 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 | 3.981 / 5Higher measured value | 3.382 / 5 | 1mean reviewer code-quality ratingHigher is betterCohort: vals-code-migration:1:code_qualityTest setup not documented as identicalNo direct winnerGLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 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 | 66.317 %Higher measured value | 62.471 % | 2accuracyHigher is betterCohort: vals-corp-fin-v2:2:shared_max_contextTest setup not documented as identicalNo direct winnerGLM-5.2: No further settings disclosed 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 |
| EMBDCF | 52.968 %Higher measured value | 43.63 % | 1accuracyHigher is betterCohort: vals-emb:1:dcfTest setup not documented as identicalNo direct winnerGLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 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-emb-2026-08-11-e3c855e236e4Retrieved 2026-08-11 |
| Finance Agent (v2)Comparables | 44.78 %Higher measured value | 40.15 % | 2accuracyHigher is betterCohort: vals-finance-agent-v2:2:comparablesTest setup not documented as identicalNo direct winnerGLM-5.2: No further settings disclosed 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 | 89.506 %Higher measured value | 80.173 % | 1accuracyHigher is betterCohort: vals-legal-bench:1:issue_tasksTest setup not documented as identicalNo direct winnerGLM-5.2: No further settings disclosed 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 | 74.151 % | 86.423 %Higher measured value | 1accuracyHigher is betterCohort: vals-lcb:1:mediumTest setup not documented as identicalNo direct winnerGLM-5.2: No further settings disclosed 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 | 91.608 %Higher measured value | 90.459 % | 1accuracyHigher is betterCohort: vals-mmlu-pro:1:chemistryTest setup not documented as identicalNo direct winnerGLM-5.2: No further settings disclosed 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 | 66.667 %Higher measured value | 33.333 % | 1accuracyHigher is betterCohort: vals-swebench:1:1-4 hoursTest setup not documented as identicalNo direct winnerGLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 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 | 74.545 %Higher measured value | 65.455 % | 2.1accuracyHigher is betterCohort: vals-terminal-bench-2-1:2.1:mediumTest setup not documented as identicalNo direct winnerGLM-5.2: Reasoning: max, Temperature: 1, Top P: 1, Output limit: 48,000 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 | 83.333 %Winner | 66.667 % | 1.2benchmark scoreHigher is betterCohort: vals-vals-index:1.2:swebenchNo documented setup differenceWinner: GLM-5.2GLM-5.2: 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 | 1,449.311 arena pointsHigher measured value 95% confidence interval: ±9.401The 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 points 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_writingTest setup not documented as identicalNo direct winnerGLM-5.2: Snapshot: glm-5.2-max, Reasoning: max, Harness: Arena text, style control MiMo-V2.5-Pro: Snapshot: mimo-v2.5-pro, Harness: Arena text, style controlGLM-5.2: Style-controlled Arena rating from 4,900 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 |
| EMBLBO | 51.815 %Higher measured value | 47.739 % | 1accuracyHigher is betterCohort: vals-emb:1:lboTest setup not documented as identicalNo direct winnerGLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 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-emb-2026-08-11-e3c855e236e4Retrieved 2026-08-11 |
| Finance Agent (v2)Disclosure Analysis | 61.588 %Higher measured value | 53.148 % | 2accuracyHigher is betterCohort: vals-finance-agent-v2:2:disclosure_analysisTest setup not documented as identicalNo direct winnerGLM-5.2: No further settings disclosed 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 | 81.263 %Higher measured value | 64.964 % | 1accuracyHigher is betterCohort: vals-legal-bench:1:rhetoric_tasksTest setup not documented as identicalNo direct winnerGLM-5.2: No further settings disclosed 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 | 90.244 %Higher measured value | 88.049 % | 1accuracyHigher is betterCohort: vals-mmlu-pro:1:computer_scienceTest setup not documented as identicalNo direct winnerGLM-5.2: No further settings disclosed 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 | 81.609 %Higher measured value | 74.713 % | 1accuracyHigher is betterCohort: vals-swebench:1:15 min - 1 hourTest setup not documented as identicalNo direct winnerGLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 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 | 67.79 %Higher measured value | 57.303 % | 1.2benchmark scoreHigher is betterCohort: vals-vals-index:1.2:terminal_bench_2_1Test setup not documented as identicalNo direct winnerGLM-5.2: Top P: 1, Output limit: 48,000 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 | 1,479.647 arena points 95% confidence interval: ±6.503The 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 pointsHigher measured value 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:englishTest setup not documented as identicalNo direct winnerGLM-5.2: Snapshot: glm-5.2-max, Reasoning: max, Harness: Arena text, style control MiMo-V2.5-Pro: Snapshot: mimo-v2.5-pro, Harness: Arena text, style controlGLM-5.2: Style-controlled Arena rating from 11,738 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 |
| EMBM&A | 63.913 % | 64.098 %Higher measured value | 1accuracyHigher is betterCohort: vals-emb:1:maTest setup not documented as identicalNo direct winnerGLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 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-emb-2026-08-11-e3c855e236e4Retrieved 2026-08-11 |
The table shows 64 diversified result series from 109 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.