Head-to-head comparison
Grok 4.5 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.
- shared result series
- 110
- distinct benchmarks
- 19
- latest retrieval
- 2026-09-04
Change model selection
Specifications
General specifications
Release date, availability, context window, architecture, and published parameter counts at a glance. Undisclosed details remain marked as unavailable.
| Attribute | Grok 4.5 | MiMo-V2.5-Pro |
|---|---|---|
| Provider | xAI | Xiaomi |
| Released | Jul 16, 2026 | Apr 23, 2026 |
| Availability | Active | Open Source |
| Model type | Proprietary | Open Weights |
| Parameters | Not published | 1T, 42B active |
| Architecture | Not published | Mixture of Experts |
| Context window | 500,000 tokens | 1,000,000 tokens |
| Knowledge cutoff | February 1, 2026 | Not published |
| Technical sources | Model | Model |
Pricing
API pricing compared
The table compares official standard API rates per 1M tokens, including published cache pricing. Batch, fast, priority, regional surcharges, tool calls, and cloud platform pricing are excluded.
| Price type | Grok 4.5 | MiMo-V2.5-Pro |
|---|---|---|
| API input | $2 ≤200K / $4 >200K | $0.43 |
| API output | $6 ≤200K / $12 >200K | $0.87 |
| Cache read | $0.3 ≤200K / $0.6 >200K | $0. |
| Cache write (5 min.) | Not listed | Not listed |
| Cache write (1 hr.) | Not listed | Not listed |
| Price verified | 08/11/2026 Source | 07/31/2026 Source |
Key to the marks:better valuebetter, but not conclusivetie
Pricing by provider
Direct developer pricing and provider endpoint tariffs routed through OpenRouter are listed separately. Prices are in USD per 1M tokens. Context-dependent direct tiers plus regional, Flex, Priority, and other OpenRouter tariffs remain individually identifiable.
| Model | Provider | Purchase route and tariff | Input per 1M tokens | Output per 1M tokens | Source |
|---|---|---|---|---|---|
| Grok 4.5 | xAI | Direct from developerUp to 200,000 context tokens | Lowest listed price: $2 | Lowest listed price: $6 | Source08/11/2026 |
| xAI | Direct from developerAbove 200,000 context tokens | $4 | $12 | Source08/11/2026 | |
| xAI | Via OpenRouterxai | Lowest listed price: $2 | Lowest listed price: $6 | Source09/07/2026 | |
| xAI | Via OpenRouterxai/priority | $4 | $12 | Source09/07/2026 | |
| xAI | Via OpenRouterxai/zdr | Lowest listed price: $2 | Lowest listed price: $6 | Source09/07/2026 | |
| xAI | Via OpenRouterxai/zdr/priority | $4 | $12 | Source09/07/2026 | |
| MiMo-V2.5-Pro | Xiaomi | Direct from developerStandard API | $0.435 | $0.87 | Source07/31/2026 |
| AtlasCloud | Via OpenRouteratlas-cloud/fp8 | $0.435 | $0.87 | Source09/07/2026 | |
| DeepInfra | Via OpenRouterdeepinfra/fp8 | $0.39 | $1.17 | Source09/07/2026 | |
| DigitalOcean | Via OpenRouterdigitalocean | $0.4 | $1.5 | Source09/07/2026 | |
| GMICloud | Via OpenRoutergmicloud/bf16 | Lowest listed price: $0.3045 | Lowest listed price: $0.609 | Source09/07/2026 | |
| Novita | Via OpenRouternovita | $0.4802 | $0.9605 | Source09/07/2026 | |
| StreamLake | Via OpenRouterstreamlake | $0.522 | $1.044 | Source09/07/2026 | |
| Xiaomi | Via OpenRouterxiaomi/fp8 | $0.435 | $0.87 | Source09/07/2026 |
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.
Capability profile from matched benchmarks
Each axis averages directly matched benchmark families. A value of 100 means the stronger value within this pair, not a universal quality score.
48 matched rows from 19 benchmark families were considered. The radar shows 8 of 10 comparable categories.
Key to the marks:better valuebetter, but not conclusivetie
| Benchmark and task | Grok 4.5 | MiMo-V2.5-Pro | Source |
|---|---|---|---|
Code MigrationOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner36.596 % | 21.557 % | Vals AISource detailsData as of: 09/03/2026 |
CorpFin v2OverallTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better | Winner67.405 % | 61.422 % | Vals AISource detailsData as of: 08/12/2026 |
EMBOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | 52.911 % | Winner55.228 % | Vals AISource detailsData as of: 09/03/2026 |
Finance Agent (v2)OverallTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better | Winner48.349 % | 41.502 % | Vals AISource detailsData as of: 09/03/2026 |
GPQA DiamondOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner92.929 % | 82.576 % | Vals AISource detailsData as of: 09/01/2026 |
Harvey's Legal Agent BenchmarkOverall · Task fully resolvedTest detailsNo documented difference in the test setupVersion: 1Metric: task resolution rateScoring: Higher is better | Winner12.917 % | 2.083 % | Vals AISource detailsData as of: 09/03/2026 |
Legal Research BenchOverall · All-passTest detailsNo documented difference in the test setupVersion: 1Metric: all-pass rateScoring: Higher is better | Winner37.981 % | 15.865 % | Vals AISource detailsData as of: 09/03/2026 |
LegalBenchOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner85.965 % | 77.129 % | Vals AISource detailsData as of: 09/01/2026 |
LiveCodeBench v6OverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner87.351 % | 81.354 % | Vals AISource detailsData as of: 09/01/2026 |
LMArena Text, Style ControlOverallTest detailsNo documented difference in the test setupNo clear leadVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGrok 4.5: Snapshot: grok-4.5, Harness: Arena text, style control MiMo-V2.5-Pro: Snapshot: mimo-v2.5-pro, Harness: Arena text, style controlGrok 4.5: Style-controlled Arena rating from 25,873 anonymous pairwise votes.MiMo-V2.5-Pro: Style-controlled Arena rating from 57,416 anonymous pairwise votes. | No clear lead1,470.015 95% confidence interval: ±4.921The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | 1,468.271 95% confidence interval: ±3.92The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | LMArenaSource detailsData as of: 09/01/2026 |
MedCodeOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner43.291 % | 32.484 % | Vals AISource detailsData as of: 09/03/2026 |
MedScribeOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner86.884 % | 83.73 % | Vals AISource detailsData as of: 09/03/2026 |
MMLU-ProOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner89.216 % | 84.595 % | Vals AISource detailsData as of: 09/01/2026 |
ProofBenchOverallTest detailsNo documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is better | Winner31 % | 22 % | Vals AISource detailsData as of: 09/01/2026 |
SWE-bench VerifiedOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner86.6 % | 74 % | Vals AISource detailsData as of: 09/01/2026 |
TaxEval v2OverallTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better | 71.668 % | Winner73.794 % | Vals AISource detailsData as of: 09/01/2026 |
Terminal-Bench 2.1OverallTest detailsNo documented difference in the test setupVersion: 2.1Metric: accuracyScoring: Higher is better | Winner67.79 % | 57.303 % | Vals AISource detailsData as of: 09/03/2026 |
Vals IndexOverallTest detailsNo documented difference in the test setupVersion: 2Metric: weighted index scoreScoring: Higher is better | Winner51.528 % | 40.974 % | Vals AISource detailsData as of: 09/03/2026 |
Vibe Code Bench v1.1OverallTest detailsNo documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Harness: OpenHands | Winner69.002 % | 34.113 % | Vals AISource detailsData as of: 09/03/2026 |
Code MigrationCLITest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value25.461 % | 13.981 % | Vals AISource detailsData as of: 08/09/2026 |
CorpFin v2Exact PagesTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value66.317 % | 60.373 % | Vals AISource detailsData as of: 08/06/2026 |
EMBCompsTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | 39.489 % | Higher measured value47.341 % | Vals AISource detailsData as of: 08/06/2026 |
Finance Agent (v2)AdjustmentsTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value38.568 % | 34.386 % | Vals AISource detailsData as of: 08/06/2026 |
GPQA DiamondFew-Shot CoTTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value92.929 % | 80.808 % | Vals AISource detailsData as of: 08/09/2026 |
LegalBenchConclusion TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value89.507 % | 88.031 % | Vals AISource detailsData as of: 08/09/2026 |
LiveCodeBench v6EasyTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | No direct winner99.068 % | No direct winner99.068 % | Vals AISource detailsData as of: 08/09/2026 |
LMArena Text, Style ControlBusiness, management and financeTest detailsNo documented difference in the test setupNo clear leadVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGrok 4.5: Snapshot: grok-4.5, Harness: Arena text, style control MiMo-V2.5-Pro: Snapshot: mimo-v2.5-pro, Harness: Arena text, style controlGrok 4.5: Style-controlled Arena rating from 5,122 anonymous pairwise votes.MiMo-V2.5-Pro: Style-controlled Arena rating from 11,336 anonymous pairwise votes. | 1,465.734 95% confidence interval: ±8.936The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | No clear lead1,471.792 95% confidence interval: ±6.73The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | LMArenaSource detailsData as of: 09/01/2026 |
MMLU-ProBiologyTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value94.282 % | 92.469 % | Vals AISource detailsData as of: 08/09/2026 |
SWE-bench Verified<15 min fixTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value93.814 % | 82.474 % | Vals AISource detailsData as of: 08/08/2026 |
TaxEval v2CorrectnessTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | 62.551 % | Higher measured value63.123 % | Vals AISource detailsData as of: 08/09/2026 |
Terminal-Bench 2.1EasyTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value91.667 % | 75 % | Vals AISource detailsData as of: 08/06/2026 |
Vals IndexCorpFin v2Test detailsTest setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value68.415 % | 62.471 % | Vals AISource detailsData as of: 08/09/2026 |
Code MigrationCOBOLTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value70 % | 44.286 % | Vals AISource detailsData as of: 08/09/2026 |
CorpFin v2Max Fitting ContextTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value67.483 % | 61.422 % | Vals AISource detailsData as of: 08/06/2026 |
EMBDataroomTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | 64.953 % | Higher measured value77.965 % | Vals AISource detailsData as of: 08/06/2026 |
Finance Agent (v2)All-PassTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value36.743 % | 28.848 % | Vals AISource detailsData as of: 08/06/2026 |
GPQA DiamondZero-Shot CoTTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value92.929 % | 84.343 % | Vals AISource detailsData as of: 08/09/2026 |
LegalBenchInterpretation TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value83.22 % | 79.497 % | Vals AISource detailsData as of: 08/09/2026 |
LiveCodeBench v6HardTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value73.429 % | 58.571 % | Vals AISource detailsData as of: 08/09/2026 |
LMArena Text, Style ControlChineseTest detailsNo documented difference in the test setupNo clear leadVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGrok 4.5: Snapshot: grok-4.5, Harness: Arena text, style control MiMo-V2.5-Pro: Snapshot: mimo-v2.5-pro, Harness: Arena text, style controlGrok 4.5: Style-controlled Arena rating from 1,737 anonymous pairwise votes.MiMo-V2.5-Pro: Style-controlled Arena rating from 3,151 anonymous pairwise votes. | No clear lead1,512.8 95% confidence interval: ±15.002The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | 1,511.885 95% confidence interval: ±11.287The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | LMArenaSource detailsData as of: 09/01/2026 |
MMLU-ProBusinessTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value93.283 % | 89.987 % | Vals AISource detailsData as of: 08/09/2026 |
SWE-bench Verified>4 hoursTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value66.667 % | 33.333 % | Vals AISource detailsData as of: 08/08/2026 |
TaxEval v2Stepwise ReasoningTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | 80.785 % | Higher measured value84.464 % | Vals AISource detailsData as of: 08/09/2026 |
Terminal-Bench 2.1HardTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value56.667 % | 40 % | Vals AISource detailsData as of: 08/06/2026 |
Vals IndexFinance Agent v2Test detailsTest setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value48.751 % | 41.243 % | Vals AISource detailsData as of: 08/09/2026 |
Code MigrationCode QualityTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: mean reviewer code-quality ratingScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value4.078 / 5 | 3.382 / 5 | Vals AISource detailsData as of: 08/09/2026 |
CorpFin v2Shared Max ContextTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value68.415 % | 62.471 % | Vals AISource detailsData as of: 08/06/2026 |
EMBDCFTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | 41.455 % | Higher measured value43.63 % | Vals AISource detailsData as of: 08/06/2026 |
Finance Agent (v2)ComparablesTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value41.768 % | 40.15 % | Vals AISource detailsData as of: 08/06/2026 |
LegalBenchIssue TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value90.129 % | 80.173 % | Vals AISource detailsData as of: 08/09/2026 |
LiveCodeBench v6MediumTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value89.556 % | 86.423 % | Vals AISource detailsData as of: 08/09/2026 |
LMArena Text, Style ControlCodingTest detailsNo documented difference in the test setupNo clear leadVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGrok 4.5: Snapshot: grok-4.5, Harness: Arena text, style control MiMo-V2.5-Pro: Snapshot: mimo-v2.5-pro, Harness: Arena text, style controlGrok 4.5: Style-controlled Arena rating from 7,308 anonymous pairwise votes.MiMo-V2.5-Pro: Style-controlled Arena rating from 15,755 anonymous pairwise votes. | No clear lead1,522.456 95% confidence interval: ±7.787The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | 1,520.349 95% confidence interval: ±6.131The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | LMArenaSource detailsData as of: 09/01/2026 |
MMLU-ProChemistryTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value91.608 % | 90.459 % | Vals AISource detailsData as of: 08/09/2026 |
SWE-bench Verified1-4 hoursTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value73.81 % | 33.333 % | Vals AISource detailsData as of: 08/08/2026 |
Terminal-Bench 2.1MediumTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value72.121 % | 65.455 % | Vals AISource detailsData as of: 08/06/2026 |
Vals IndexSWE-benchTest detailsNo documented difference in the test setupVersion: 1.2Metric: benchmark scoreScoring: Higher is better | Winner86.275 % | 66.667 % | Vals AISource detailsData as of: 08/09/2026 |
EMBLBOTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value48.684 % | 47.739 % | Vals AISource detailsData as of: 08/06/2026 |
Finance Agent (v2)Disclosure AnalysisTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value56.412 % | 53.148 % | Vals AISource detailsData as of: 08/06/2026 |
LegalBenchRhetoric TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value82.802 % | 64.964 % | Vals AISource detailsData as of: 08/09/2026 |
LMArena Text, Style ControlCreative writingTest detailsNo documented difference in the test setupNo clear leadVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGrok 4.5: Snapshot: grok-4.5, Harness: Arena text, style control MiMo-V2.5-Pro: Snapshot: mimo-v2.5-pro, Harness: Arena text, style controlGrok 4.5: Style-controlled Arena rating from 5,109 anonymous pairwise votes.MiMo-V2.5-Pro: Style-controlled Arena rating from 10,262 anonymous pairwise votes. | No clear lead1,450.722 95% confidence interval: ±9.268The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | 1,435.028 95% confidence interval: ±7.065The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | LMArenaSource detailsData as of: 09/01/2026 |
MMLU-ProComputer ScienceTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value90.976 % | 88.049 % | Vals AISource detailsData as of: 08/09/2026 |
SWE-bench Verified15 min - 1 hourTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value83.525 % | 74.713 % | Vals AISource detailsData as of: 08/08/2026 |
Vals IndexTerminal-Bench 2.1Test detailsTest setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value67.79 % | 57.303 % | Vals AISource detailsData as of: 08/09/2026 |
EMBM&ATest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGrok 4.5: Reasoning: high, Temperature: 0.7, Top P: 0.95 MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value64.62 % | 64.098 % | Vals AISource detailsData as of: 08/06/2026 |
Key to the marks:better valuebetter, but not conclusivetie | |||
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