Head-to-head comparison
Kimi K2.6 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
- 109
- distinct benchmarks
- 18
- latest retrieval
- 2026-09-04
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Specifications
General specifications
Release date, availability, context window, architecture, and published parameter counts at a glance. Undisclosed details remain marked as unavailable.
| Attribute | Kimi K2.6 | MiMo-V2.5-Pro |
|---|---|---|
| Provider | Moonshot AI | Xiaomi |
| Released | Apr 20, 2026 | Apr 23, 2026 |
| Availability | Active | Open Source |
| Model type | Open Weights | Open Weights |
| Parameters | 1T, 32B active | 1T, 42B active |
| Architecture | Mixture of Experts | Mixture of Experts |
| Context window | 262,144 tokens | 1,000,000 tokens |
| Knowledge cutoff | Not published | Not published |
| Technical sources | Model, Context | 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 | Kimi K2.6 | MiMo-V2.5-Pro |
|---|---|---|
| API input | $0.95 | $0.43 |
| API output | $4 | $0.87 |
| Cache read | $0.16 | $0. |
| Cache write (5 min.) | Not listed | Not listed |
| Cache write (1 hr.) | Not listed | Not listed |
| Price verified | 07/30/2026 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 |
|---|---|---|---|---|---|
| Kimi K2.6 | Moonshot AI | Direct from developerStandard API | $0.95 | $4 | Source07/30/2026 |
| AtlasCloud | Via OpenRouteratlas-cloud/int4 | $0.95 | $4 | Source09/06/2026 | |
| Baidu | Via OpenRouterbaidu/fp4 | Lowest listed price: $0.5368 | Lowest listed price: $2.26 | Source09/06/2026 | |
| BaseTen | Via OpenRouterbaseten/fp4#1 | $0.95 | $4 | Source09/06/2026 | |
| BaseTen | Via OpenRouterbaseten/fp4#2 | $0.95 | $4 | Source09/06/2026 | |
| Chutes | Via OpenRouterchutes/int4 | $0.58 | $3.4 | Source09/06/2026 | |
| Cloudflare | Via OpenRoutercloudflare | $0.95 | $4 | Source09/06/2026 | |
| CoreWeave | Via OpenRoutercoreweave/fp4 | $0.65 | $3.41 | Source09/06/2026 | |
| Crusoe | Via OpenRoutercrusoe/bf16 | $0.7 | $3.5 | Source09/06/2026 | |
| Decart | Via OpenRouterdecart/fp4 | $0.5372 | $2.2618 | Source09/06/2026 | |
| DeepInfra | Via OpenRouterdeepinfra/fp4 | $0.75 | $3.5 | Source09/06/2026 | |
| DigitalOcean | Via OpenRouterdigitalocean | $0.95 | $4 | Source09/06/2026 | |
| Fireworks | Via OpenRouterfireworks | $0.95 | $4 | Source09/06/2026 | |
| GMICloud | Via OpenRoutergmicloud/fp8 | $0.855 | $3.6 | Source09/06/2026 | |
| Inceptron | Via OpenRouterinceptron/int4 | $0.56 | $3.39 | Source09/06/2026 | |
| Moonshot AI | Via OpenRoutermoonshotai/int4 | $0.95 | $4 | Source09/06/2026 | |
| Novita | Via OpenRouternovita | $0.8 | $3.4 | Source09/06/2026 | |
| Parasail | Via OpenRouterparasail/int4 | $0.75 | $3.5 | Source09/06/2026 | |
| Phala | Via OpenRouterphala | $1.09 | $4.6 | Source09/06/2026 | |
| SiliconFlow | Via OpenRoutersiliconflow/fp8 | $0.77 | $3.4 | Source09/06/2026 | |
| StreamLake | Via OpenRouterstreamlake/fp8 | $0.5985 | $2.52 | Source09/06/2026 | |
| Venice | Via OpenRoutervenice/int4 | $0.75 | $3.5 | Source09/06/2026 | |
| 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 | Source09/06/2026 | |
| DeepInfra | Via OpenRouterdeepinfra/fp8 | $0.39 | $1.17 | Source09/06/2026 | |
| DigitalOcean | Via OpenRouterdigitalocean | $0.4 | $1.5 | Source09/06/2026 | |
| GMICloud | Via OpenRoutergmicloud/bf16 | Lowest listed price: $0.3045 | Lowest listed price: $0.609 | Source09/06/2026 | |
| Novita | Via OpenRouternovita | $0.4802 | $0.9605 | Source09/06/2026 | |
| StreamLake | Via OpenRouterstreamlake | $0.522 | $1.044 | Source09/06/2026 | |
| Xiaomi | Via OpenRouterxiaomi/fp8 | $0.435 | $0.87 | Source09/06/2026 |
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.
47 matched rows from 18 benchmark families were considered. The radar shows 8 of 10 comparable categories.
Key to the marks:better valuebetter, but not conclusivetie
| Benchmark and task | Kimi K2.6 | MiMo-V2.5-Pro | Source |
|---|---|---|---|
Code MigrationOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner27.768 % | 21.557 % | Vals AISource detailsData as of: 09/03/2026 |
CorpFin v2OverallTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better | Winner66.744 % | 61.422 % | Vals AISource detailsData as of: 08/12/2026 |
EMBOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner57.855 % | 55.228 % | Vals AISource detailsData as of: 09/03/2026 |
Finance Agent (v2)OverallTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better | Winner44.899 % | 41.502 % | Vals AISource detailsData as of: 09/03/2026 |
GPQA DiamondOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner89.142 % | 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 | 1.667 % | Winner2.083 % | 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 | Tie15.865 % | Tie15.865 % | Vals AISource detailsData as of: 09/03/2026 |
LegalBenchOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner84.738 % | 77.129 % | Vals AISource detailsData as of: 09/01/2026 |
LiveCodeBench v6OverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner86.771 % | 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 betterKimi K2.6: Snapshot: kimi-k2.6, Harness: Arena text, style control MiMo-V2.5-Pro: Snapshot: mimo-v2.5-pro, Harness: Arena text, style controlKimi K2.6: Style-controlled Arena rating from 37,573 anonymous pairwise votes.MiMo-V2.5-Pro: Style-controlled Arena rating from 57,416 anonymous pairwise votes. | 1,460.613 95% confidence interval: ±4.534The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | No clear lead1,468.271 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 | Winner40.142 % | 32.484 % | Vals AISource detailsData as of: 09/03/2026 |
MedScribeOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | 78.149 % | Winner83.73 % | Vals AISource detailsData as of: 09/03/2026 |
MMLU-ProOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner87.572 % | 84.595 % | Vals AISource detailsData as of: 09/01/2026 |
SWE-bench VerifiedOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner76.2 % | 74 % | Vals AISource detailsData as of: 09/01/2026 |
TaxEval v2OverallTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better | Winner74.652 % | 73.794 % | 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 | 53.558 % | Winner57.303 % | Vals AISource detailsData as of: 09/03/2026 |
Vals IndexOverallTest detailsNo documented difference in the test setupVersion: 2Metric: weighted index scoreScoring: Higher is better | Winner43.465 % | 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 | Winner37.891 % | 34.113 % | Vals AISource detailsData as of: 09/03/2026 |
Code MigrationCLITest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value17.977 % | 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 betterKimi K2.6: Top P: 0.95, Output limit: 48,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value64.802 % | 60.373 % | Vals AISource detailsData as of: 08/06/2026 |
EMBCompsTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value61.395 % | 47.341 % | Vals AISource detailsData as of: 08/06/2026 |
Finance Agent (v2)AdjustmentsTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value37.934 % | 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 betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value89.899 % | 80.808 % | Vals AISource detailsData as of: 08/09/2026 |
LegalBenchConclusion TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value89.413 % | 88.031 % | Vals AISource detailsData as of: 08/09/2026 |
LiveCodeBench v6EasyTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 256,000 tokens 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 setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterKimi K2.6: Snapshot: kimi-k2.6, Harness: Arena text, style control MiMo-V2.5-Pro: Snapshot: mimo-v2.5-pro, Harness: Arena text, style controlKimi K2.6: Style-controlled Arena rating from 7,489 anonymous pairwise votes.MiMo-V2.5-Pro: Style-controlled Arena rating from 11,336 anonymous pairwise votes. | 1,455.777 95% confidence interval: ±7.725The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | Winner1,471.792 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 betterKimi K2.6: Top P: 0.95, Output limit: 96,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value93.724 % | 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 betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value87.629 % | 82.474 % | Vals AISource detailsData as of: 08/08/2026 |
TaxEval v2CorrectnessTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | 62.715 % | 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 betterKimi K2.6: Top P: 0.95, Output limit: 256,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value83.333 % | 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 betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value68.182 % | 62.471 % | Vals AISource detailsData as of: 08/09/2026 |
Code MigrationCOBOLTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value57.143 % | 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 betterKimi K2.6: Top P: 0.95, Output limit: 48,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value67.249 % | 61.422 % | Vals AISource detailsData as of: 08/06/2026 |
EMBDataroomTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | 75.069 % | 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 betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value32.584 % | 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 betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value88.384 % | 84.343 % | Vals AISource detailsData as of: 08/09/2026 |
LegalBenchInterpretation TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value82.197 % | 79.497 % | Vals AISource detailsData as of: 08/09/2026 |
LiveCodeBench v6HardTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 256,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value71.429 % | 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 betterKimi K2.6: Snapshot: kimi-k2.6, Harness: Arena text, style control MiMo-V2.5-Pro: Snapshot: mimo-v2.5-pro, Harness: Arena text, style controlKimi K2.6: Style-controlled Arena rating from 1,900 anonymous pairwise votes.MiMo-V2.5-Pro: Style-controlled Arena rating from 3,151 anonymous pairwise votes. | No clear lead1,526.043 95% confidence interval: ±14.272The 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 betterKimi K2.6: Top P: 0.95, Output limit: 96,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value91.635 % | 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 betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | 0 % | Higher measured value33.333 % | Vals AISource detailsData as of: 08/08/2026 |
TaxEval v2Stepwise ReasoningTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value86.59 % | 84.464 % | 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 betterKimi K2.6: Top P: 0.95, Output limit: 256,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | 25.556 % | Higher measured value40 % | 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 betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value44.932 % | 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 betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | 3.149 / 5 | Higher measured value3.382 / 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 betterKimi K2.6: Top P: 0.95, Output limit: 48,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value68.182 % | 62.471 % | Vals AISource detailsData as of: 08/06/2026 |
EMBDCFTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value49.675 % | 43.63 % | Vals AISource detailsData as of: 08/06/2026 |
Finance Agent (v2)ComparablesTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value41.069 % | 40.15 % | Vals AISource detailsData as of: 08/06/2026 |
LegalBenchIssue TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value90.089 % | 80.173 % | Vals AISource detailsData as of: 08/09/2026 |
LiveCodeBench v6MediumTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 256,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value89.817 % | 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 betterKimi K2.6: Snapshot: kimi-k2.6, Harness: Arena text, style control MiMo-V2.5-Pro: Snapshot: mimo-v2.5-pro, Harness: Arena text, style controlKimi K2.6: Style-controlled Arena rating from 10,419 anonymous pairwise votes.MiMo-V2.5-Pro: Style-controlled Arena rating from 15,755 anonymous pairwise votes. | 1,514.216 95% confidence interval: ±7.05The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | No clear lead1,520.349 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 betterKimi K2.6: Top P: 0.95, Output limit: 96,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value92.491 % | 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 betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value40.476 % | 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 betterKimi K2.6: Top P: 0.95, Output limit: 256,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value66.667 % | 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 | Winner74.51 % | 66.667 % | Vals AISource detailsData as of: 08/09/2026 |
EMBLBOTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | 43.117 % | Higher measured value47.739 % | 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 betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | 52.124 % | Higher measured value53.148 % | Vals AISource detailsData as of: 08/06/2026 |
LegalBenchRhetoric TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value81.4 % | 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 betterKimi K2.6: Snapshot: kimi-k2.6, Harness: Arena text, style control MiMo-V2.5-Pro: Snapshot: mimo-v2.5-pro, Harness: Arena text, style controlKimi K2.6: Style-controlled Arena rating from 5,846 anonymous pairwise votes.MiMo-V2.5-Pro: Style-controlled Arena rating from 10,262 anonymous pairwise votes. | 1,430.943 95% confidence interval: ±8.493The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | No clear lead1,435.028 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 betterKimi K2.6: Top P: 0.95, Output limit: 96,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value91.22 % | 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 betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | 74.33 % | Higher measured value74.713 % | 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 betterKimi K2.6: Top P: 0.95, Output limit: 256,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | 53.558 % | Higher measured value57.303 % | Vals AISource detailsData as of: 08/09/2026 |
EMBM&ATest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value64.205 % | 64.098 % | Vals AISource detailsData as of: 08/06/2026 |
Finance Agent (v2)Earnings AnalysisTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens MiMo-V2.5-Pro: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens | Higher measured value63.824 % | 54.614 % | Vals AISource detailsData as of: 08/06/2026 |
Key to the marks:better valuebetter, but not conclusivetie | |||
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.
The standard price table uses direct developer rates. The provider comparison labels OpenRouter endpoints, regions, and special tariffs separately.
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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