Head-to-head comparison
Kimi K3 vs. GLM-5.1
Compare published benchmark results from matching versions and cohorts, API pricing, and technical specifications. Any documented test setup differences remain visible.
- shared result series
- 166
- distinct benchmarks
- 19
- 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 K3 | GLM-5.1 |
|---|---|---|
| Provider | Moonshot AI | Z.ai |
| Released | Jul 16, 2026 | Apr 7, 2026 |
| Availability | Active | Open Source |
| Model type | Open Weights | Open Weights |
| Parameters | 2.8T, 104B active | 744B, 40B active |
| Architecture | Mixture of Experts | Mixture of Experts |
| Context window | 1,048,576 tokens | 200,000 tokens |
| Knowledge cutoff | Not published | Not published |
| Technical sources | Model | Model, Context |
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 K3 | GLM-5.1 |
|---|---|---|
| API input | $3 | $1.4 |
| API output | $15 | $4.4 |
| Cache read | $0.3 | $0.26 |
| Cache write (5 min.) | Not listed | Not listed |
| Cache write (1 hr.) | Not listed | Not listed |
| Price verified | 07/30/2026 Source | 07/30/2026 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 K3 | Moonshot AI | Direct from developerStandard API | $3 | $15 | Source07/30/2026 |
| Alibaba | Via OpenRouteralibaba | $3.45 | $17.25 | Source09/07/2026 | |
| BaseTen | Via OpenRouterbaseten/fp8 | $3 | $15 | Source09/07/2026 | |
| Chutes | Via OpenRouterchutes/mxfp4 | $3 | $15 | Source09/07/2026 | |
| DeepInfra | Via OpenRouterdeepinfra/bf16 | $2.85 | $14.25 | Source09/07/2026 | |
| DigitalOcean | Via OpenRouterdigitalocean | $2.85 | $14.25 | Source09/07/2026 | |
| Fireworks | Via OpenRouterfireworks | $3 | $15 | Source09/07/2026 | |
| Fireworks | Via OpenRouterfireworks/fast | $4.5 | $22.5 | Source09/07/2026 | |
| Fireworks | Via OpenRouterfireworks/us | $3.3 | $16.5 | Source09/07/2026 | |
| Makora | Via OpenRoutermakora | Lowest listed price: $2.55 | Lowest listed price: $12.75 | Source09/07/2026 | |
| Modal | Via OpenRoutermodal/mxfp4 | $3 | $15 | Source09/07/2026 | |
| Moonshot AI | Via OpenRoutermoonshotai/mxfp4 | $3 | $15 | Source09/07/2026 | |
| Morph | Via OpenRoutermorph/fast | $6 | $22.5 | Source09/07/2026 | |
| Morph | Via OpenRoutermorph/fp4 | $2.6 | $14 | Source09/07/2026 | |
| Parasail | Via OpenRouterparasail/fp4 | $3 | $15 | Source09/07/2026 | |
| Phala | Via OpenRouterphala | $3 | $15 | Source09/07/2026 | |
| Sail Research | Via OpenRoutersail-research/fp4 | $2.6 | $13 | Source09/07/2026 | |
| Together | Via OpenRoutertogether | $3 | $15 | Source09/07/2026 | |
| Wafer | Via OpenRouterwafer | $3 | Lowest listed price: $12.75 | Source09/07/2026 | |
| GLM-5.1 | Z.ai | Direct from developerStandard API | $1.4 | $4.4 | Source07/30/2026 |
| Alibaba | Via OpenRouteralibaba/fp8 | $1.33 | $4.18 | Source09/07/2026 | |
| AtlasCloud | Via OpenRouteratlas-cloud/fp8 | $1.26 | $3.96 | Source09/07/2026 | |
| Baidu | Via OpenRouterbaidu/fp8 | $1.4 | $4.4 | Source09/07/2026 | |
| Chutes | Via OpenRouterchutes/fp8 | $0.98 | $3.08 | Source09/07/2026 | |
| Crusoe | Via OpenRoutercrusoe/fp8 | $1.2 | $4.4 | Source09/07/2026 | |
| DeepInfra | Via OpenRouterdeepinfra/fp4 | $1.05 | $3.5 | Source09/07/2026 | |
| DigitalOcean | Via OpenRouterdigitalocean | $1.3 | $4.3 | Source09/07/2026 | |
| Friendli | Via OpenRouterfriendli | $1.4 | $4.4 | Source09/07/2026 | |
| GMICloud | Via OpenRoutergmicloud/fp8 | Lowest listed price: $0.91 | Lowest listed price: $2.86 | Source09/07/2026 | |
| Nebius | Via OpenRouternebius/fp8 | $1.4 | $4.4 | Source09/07/2026 | |
| Novita | Via OpenRouternovita/fp8 | $1.38 | $4.4 | Source09/07/2026 | |
| Phala | Via OpenRouterphala | $1.21 | $4.2 | Source09/07/2026 | |
| SiliconFlow | Via OpenRoutersiliconflow/fp8 | $1.19 | $3.74 | Source09/07/2026 | |
| StreamLake | Via OpenRouterstreamlake/fp8 | $0.966 | $3.036 | Source09/07/2026 | |
| Venice | Via OpenRoutervenice/fp8 | $1.54 | $4.84 | Source09/07/2026 | |
| Z.AI | Via OpenRouterz-ai/fp8 | $1.4 | $4.4 | 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.
18 matched rows from 18 benchmark families were considered. The radar shows 8 of 9 comparable categories.
Key to the marks:better valuebetter, but not conclusivetie
| Benchmark and task | Kimi K3 | GLM-5.1 | Source |
|---|---|---|---|
Code MigrationOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | 16.099 % | Winner25.768 % | Vals AISource detailsData as of: 09/03/2026 |
CorpFin v2OverallTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better | Winner71.562 % | 64.452 % | Vals AISource detailsData as of: 08/12/2026 |
Finance Agent (v2)OverallTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better | Winner54.36 % | 44.792 % | Vals AISource detailsData as of: 09/03/2026 |
GPQA DiamondOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner92.929 % | 84.518 % | 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 | Winner10.833 % | 0 % | 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 | Winner44.231 % | 27.885 % | Vals AISource detailsData as of: 09/03/2026 |
LegalBenchOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner86.016 % | 84.394 % | Vals AISource detailsData as of: 09/01/2026 |
LiveCodeBench v6OverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner87.185 % | 81.38 % | Vals AISource detailsData as of: 09/01/2026 |
LMArena Text, Style ControlOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterKimi K3: Snapshot: kimi-k3-max, Reasoning: max, Harness: Arena text, style control GLM-5.1: Snapshot: glm-5.1, Harness: Arena text, style controlKimi K3: Style-controlled Arena rating from 17,895 anonymous pairwise votes.GLM-5.1: Style-controlled Arena rating from 45,403 anonymous pairwise votes. | Higher measured value1,489.017 95% confidence interval: ±5.47The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | 1,466.019 95% confidence interval: ±3.982The 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 | Winner48.884 % | 41.604 % | Vals AISource detailsData as of: 09/03/2026 |
MedScribeOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner87.958 % | 72.27 % | Vals AISource detailsData as of: 09/03/2026 |
MMLU-ProOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner87.973 % | 86.9 % | Vals AISource detailsData as of: 09/01/2026 |
ProgramBenchOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner2 % | 0 % | Vals AISource detailsData as of: 09/01/2026 |
Public Benefits Bench v1.1OverallTest detailsNo documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is better | Winner68.268 % | 61.84 % | Vals AISource detailsData as of: 09/01/2026 |
SWE-bench VerifiedOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner93.4 % | 76.4 % | Vals AISource detailsData as of: 09/01/2026 |
TaxEval v2OverallTest detailsNo documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better | Winner75.716 % | 71.194 % | 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 | Winner80.899 % | 56.929 % | Vals AISource detailsData as of: 09/03/2026 |
Vals IndexCorpFin v2Test detailsTest setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterKimi K3: Temperature: 1, Output limit: 262,144 tokens | Higher measured value72.611 % | 65.268 % | Vals AISource detailsData as of: 08/09/2026 |
Vibe Code Bench v1.1OverallTest detailsNo documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Harness: OpenHands | Winner84.963 % | 31.456 % | Vals AISource detailsData as of: 09/03/2026 |
CorpFin v2Exact PagesTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterKimi K3: Temperature: 1, Output limit: 262,144 tokens | Higher measured value69.347 % | 61.772 % | 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 K3: Temperature: 1, Output limit: 262,144 tokens | Higher measured value51.461 % | 43.276 % | 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 K3: Temperature: 1, Output limit: 262,144 tokens | Higher measured value93.434 % | 85.787 % | Vals AISource detailsData as of: 08/09/2026 |
Harvey's Legal Agent BenchmarkAntitrust Competition · Criteria passedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterKimi K3: Temperature: 1, Output limit: 262,144 tokens GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value87.319 % | 71.377 % | Vals AISource detailsData as of: 08/07/2026 |
Legal Research BenchAdministrative / Regulatory · All-passTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterKimi K3: Temperature: 1, Output limit: 262,144 tokens GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value54.545 % | 31.818 % | Vals AISource detailsData as of: 08/06/2026 |
LegalBenchConclusion TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K3: Temperature: 1, Output limit: 262,144 tokens | Higher measured value90.733 % | 89.575 % | Vals AISource detailsData as of: 08/09/2026 |
LiveCodeBench v6EasyTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K3: Temperature: 1, Output limit: 262,144 tokens | Higher measured value98.758 % | 98.754 % | Vals AISource detailsData as of: 08/09/2026 |
LMArena Text, Style ControlBusiness, management and financeTest detailsTest setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterKimi K3: Snapshot: kimi-k3-max, Reasoning: max, Harness: Arena text, style control GLM-5.1: Snapshot: glm-5.1, Harness: Arena text, style controlKimi K3: Style-controlled Arena rating from 3,520 anonymous pairwise votes.GLM-5.1: Style-controlled Arena rating from 9,036 anonymous pairwise votes. | Higher measured value1,489.216 95% confidence interval: ±10.41The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | 1,464.877 95% confidence interval: ±7.07The 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 K3: Temperature: 1, Output limit: 262,144 tokens | Higher measured value93.863 % | 93.724 % | Vals AISource detailsData as of: 08/09/2026 |
ProgramBenchAlmost ResolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K3: Temperature: 1, Output limit: 262,144 tokens GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value17.5 % | 1 % | 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 K3: Temperature: 1, Output limit: 262,144 tokens GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value92.268 % | 88.66 % | Vals AISource detailsData as of: 08/08/2026 |
TaxEval v2CorrectnessTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterKimi K3: Temperature: 1, Output limit: 262,144 tokens | Higher measured value65.331 % | 61.538 % | 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 K3: Temperature: 1, Output limit: 262,144 tokens GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value91.667 % | 83.333 % | 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 K3: Temperature: 1, Output limit: 262,144 tokens | Higher measured value55.882 % | 44.79 % | 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 K3: Temperature: 1, Output limit: 262,144 tokens | Higher measured value72.727 % | 66.317 % | 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 K3: Temperature: 1, Output limit: 262,144 tokens | Higher measured value41.69 % | 32.68 % | 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 K3: Temperature: 1, Output limit: 262,144 tokens | Higher measured value92.424 % | 83.249 % | Vals AISource detailsData as of: 08/09/2026 |
Harvey's Legal Agent BenchmarkAntitrust Competition · Task fully resolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterKimi K3: Temperature: 1, Output limit: 262,144 tokens GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | No direct winner0 % | No direct winner0 % | Vals AISource detailsData as of: 08/07/2026 |
Legal Research BenchAdministrative / Regulatory · Weighted partial creditTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterKimi K3: Temperature: 1, Output limit: 262,144 tokens GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value90.731 % | 80.005 % | Vals AISource detailsData as of: 08/06/2026 |
LegalBenchInterpretation TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K3: Temperature: 1, Output limit: 262,144 tokens | Higher measured value82.612 % | 81.709 % | Vals AISource detailsData as of: 08/09/2026 |
LiveCodeBench v6HardTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K3: Temperature: 1, Output limit: 262,144 tokens | Higher measured value74.286 % | 57.429 % | Vals AISource detailsData as of: 08/09/2026 |
LMArena Text, Style ControlChineseTest detailsTest setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterKimi K3: Snapshot: kimi-k3-max, Reasoning: max, Harness: Arena text, style control GLM-5.1: Snapshot: glm-5.1, Harness: Arena text, style controlKimi K3: Style-controlled Arena rating from 1,168 anonymous pairwise votes.GLM-5.1: Style-controlled Arena rating from 2,742 anonymous pairwise votes. | Higher measured value1,528.536 95% confidence interval: ±17.657The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | 1,516.722 95% confidence interval: ±12.084The 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 K3: Temperature: 1, Output limit: 262,144 tokens | Higher measured value92.015 % | 91.128 % | Vals AISource detailsData as of: 08/09/2026 |
ProgramBenchFully ResolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K3: Temperature: 1, Output limit: 262,144 tokens GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value2 % | 0 % | 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 K3: Temperature: 1, Output limit: 262,144 tokens GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 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 betterKimi K3: Temperature: 1, Output limit: 262,144 tokens | Higher measured value86.1 % | 80.851 % | 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 K3: Temperature: 1, Output limit: 262,144 tokens GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value74.444 % | 37.778 % | 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 | Winner95.098 % | 72.549 % | 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 K3: Temperature: 1, Output limit: 262,144 tokens | Higher measured value72.611 % | 65.268 % | 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 K3: Temperature: 1, Output limit: 262,144 tokens | Higher measured value46.691 % | 41.557 % | Vals AISource detailsData as of: 08/06/2026 |
Harvey's Legal Agent BenchmarkArbitration International Dispute Resolution · Criteria passedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterKimi K3: Temperature: 1, Output limit: 262,144 tokens GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value92.115 % | 53.405 % | Vals AISource detailsData as of: 08/07/2026 |
Legal Research BenchBusiness & Commercial · All-passTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterKimi K3: Temperature: 1, Output limit: 262,144 tokens GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value46.512 % | 23.256 % | Vals AISource detailsData as of: 08/06/2026 |
LegalBenchIssue TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K3: Temperature: 1, Output limit: 262,144 tokens | Higher measured value91.099 % | 89.02 % | Vals AISource detailsData as of: 08/09/2026 |
LiveCodeBench v6MediumTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K3: Temperature: 1, Output limit: 262,144 tokens | Higher measured value88.512 % | 87.958 % | Vals AISource detailsData as of: 08/09/2026 |
LMArena Text, Style ControlCodingTest detailsTest setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterKimi K3: Snapshot: kimi-k3-max, Reasoning: max, Harness: Arena text, style control GLM-5.1: Snapshot: glm-5.1, Harness: Arena text, style controlKimi K3: Style-controlled Arena rating from 4,669 anonymous pairwise votes.GLM-5.1: Style-controlled Arena rating from 12,659 anonymous pairwise votes. | Higher measured value1,541.739 95% confidence interval: ±9.193The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | 1,513.669 95% confidence interval: ±6.252The 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 K3: Temperature: 1, Output limit: 262,144 tokens | 91.784 % | Higher measured value91.844 % | Vals AISource detailsData as of: 08/09/2026 |
ProgramBenchRaw Pass RateTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K3: Temperature: 1, Output limit: 262,144 tokens GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value62.768 % | 50.879 % | 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 K3: Temperature: 1, Output limit: 262,144 tokens GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value92.857 % | 45.238 % | 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 K3: Temperature: 1, Output limit: 262,144 tokens GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value83.636 % | 65.455 % | Vals AISource detailsData as of: 08/06/2026 |
Vals IndexTerminal-Bench 2.1Test detailsTest setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterKimi K3: Temperature: 1, Output limit: 262,144 tokens | Higher measured value80.899 % | 56.929 % | Vals AISource detailsData as of: 08/09/2026 |
Finance Agent (v2)Disclosure AnalysisTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterKimi K3: Temperature: 1, Output limit: 262,144 tokens | Higher measured value65.281 % | 52.713 % | Vals AISource detailsData as of: 08/06/2026 |
Harvey's Legal Agent BenchmarkArbitration International Dispute Resolution · Task fully resolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterKimi K3: Temperature: 1, Output limit: 262,144 tokens GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | No direct winner0 % | No direct winner0 % | Vals AISource detailsData as of: 08/07/2026 |
Legal Research BenchBusiness & Commercial · Weighted partial creditTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterKimi K3: Temperature: 1, Output limit: 262,144 tokens GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens | Higher measured value89.088 % | 81.655 % | Vals AISource detailsData as of: 08/06/2026 |
LegalBenchRhetoric TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K3: Temperature: 1, Output limit: 262,144 tokens | 80.813 % | Higher measured value81.108 % | Vals AISource detailsData as of: 08/09/2026 |
LMArena Text, Style ControlCreative writingTest detailsTest setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterKimi K3: Snapshot: kimi-k3-max, Reasoning: max, Harness: Arena text, style control GLM-5.1: Snapshot: glm-5.1, Harness: Arena text, style controlKimi K3: Style-controlled Arena rating from 3,543 anonymous pairwise votes.GLM-5.1: Style-controlled Arena rating from 8,409 anonymous pairwise votes. | Higher measured value1,459.502 95% confidence interval: ±10.685The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | 1,447.489 95% confidence interval: ±7.46The 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 |
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.
More matchups
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