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Head-to-head comparison

Kimi K2.6 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
173
distinct benchmarks
20
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.

Specifications for Kimi K2.6 and GLM-5.1
AttributeKimi K2.6GLM-5.1
ProviderMoonshot AIZ.ai
ReleasedApr 20, 2026Apr 7, 2026
AvailabilityActiveOpen Source
Model typeOpen WeightsOpen Weights
Parameters1T, 32B active744B, 40B active
ArchitectureMixture of ExpertsMixture of Experts
Context window262,144 tokens200,000 tokens
Knowledge cutoffNot publishedNot published
Technical sourcesModel, ContextModel, 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.

API pricing for Kimi K2.6 and GLM-5.1
Price typeKimi K2.6GLM-5.1
API input$0.95$1.4
API output$4$4.4
Cache read$0.16$0.26
Cache write (5 min.)Not listedNot listed
Cache write (1 hr.)Not listedNot listed
Price verified07/30/2026 Source07/30/2026 Source
Kimi K2.6GLM-5.1
API inputUSD per 1M tokens, base tier
Kimi K2.6Lower price$0.95
GLM-5.1$1.4
API outputUSD per 1M tokens, base tier
Kimi K2.6Lower price$4
GLM-5.1$4.4
Cache readUSD per 1M tokens, base tier
Kimi K2.6Lower price$0.16
GLM-5.1$0.26

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.

Provider pricing for Kimi K2.6 and GLM-5.1
ModelProviderPurchase route and tariffInput per 1M tokensOutput per 1M tokensSource
Kimi K2.6Moonshot AIDirect from developerStandard API$0.95$4Source07/30/2026
AtlasCloudVia OpenRouteratlas-cloud/int4$0.95$4Source09/12/2026
BaiduVia OpenRouterbaidu/fp4Lowest listed price: $0.5795Lowest listed price: $2.44Source09/12/2026
BaseTenVia OpenRouterbaseten/fp4#1$0.95$4Source09/12/2026
BaseTenVia OpenRouterbaseten/fp4#2$0.95$4Source09/12/2026
ChutesVia OpenRouterchutes/int4$0.58$3.4Source09/12/2026
CloudflareVia OpenRoutercloudflare$0.95$4Source09/12/2026
CoreWeaveVia OpenRoutercoreweave/fp4$0.65$3.41Source09/12/2026
CrusoeVia OpenRoutercrusoe/bf16$0.7$3.5Source09/12/2026
DecartVia OpenRouterdecart/fp4$0.5865$2.4696Source09/12/2026
DeepInfraVia OpenRouterdeepinfra/fp4$0.75$3.5Source09/12/2026
DigitalOceanVia OpenRouterdigitalocean$0.95$4Source09/12/2026
FireworksVia OpenRouterfireworks$0.95$4Source09/12/2026
GMICloudVia OpenRoutergmicloud/fp8$0.855$3.6Source09/12/2026
InceptronVia OpenRouterinceptron/int4$0.5895$2.45Source09/12/2026
Moonshot AIVia OpenRoutermoonshotai/int4$0.95$4Source09/12/2026
NovitaVia OpenRouternovita$0.8$3.4Source09/12/2026
ParasailVia OpenRouterparasail/int4$0.75$3.5Source09/12/2026
PhalaVia OpenRouterphala$1.09$4.6Source09/12/2026
SiliconFlowVia OpenRoutersiliconflow/fp8$0.77$3.4Source09/12/2026
StreamLakeVia OpenRouterstreamlake/fp8$0.5985$2.52Source09/12/2026
VeniceVia OpenRoutervenice/int4$0.75$3.5Source09/12/2026
GLM-5.1Z.aiDirect from developerStandard API$1.4$4.4Source07/30/2026
AlibabaVia OpenRouteralibaba/fp8$1.33$4.18Source09/12/2026
AtlasCloudVia OpenRouteratlas-cloud/fp8$1.26$3.96Source09/12/2026
BaiduVia OpenRouterbaidu/fp8Lowest listed price: $0.9646Lowest listed price: $3.0316Source09/12/2026
ChutesVia OpenRouterchutes/fp8$0.98$3.08Source09/12/2026
CrusoeVia OpenRoutercrusoe/fp8$1.2$4.4Source09/12/2026
DeepInfraVia OpenRouterdeepinfra/fp4$1.05$3.5Source09/12/2026
FriendliVia OpenRouterfriendli$1.4$4.4Source09/12/2026
GMICloudVia OpenRoutergmicloud/fp8$1.4$4.4Source09/12/2026
NebiusVia OpenRouternebius/fp8$1.4$4.4Source09/12/2026
NovitaVia OpenRouternovita/fp8$1.38$4.4Source09/12/2026
PhalaVia OpenRouterphala$1.21$4.2Source09/12/2026
SiliconFlowVia OpenRoutersiliconflow/fp8$1.19$3.74Source09/12/2026
StreamLakeVia OpenRouterstreamlake/fp8$0.966$3.036Source09/12/2026
VeniceVia OpenRoutervenice/fp8$1.54$4.84Source09/12/2026
Z.AIVia OpenRouterz-ai/fp8$1.4$4.4Source09/12/2026

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.

255075100CodingReasoningMathematicsKnowledgeFinanceLegalAgentic tasksProductivity
Kimi K2.6
GLM-5.1
Coding: 100 / 94.9 (6 benchmark families)
Reasoning: 99.8 / 97.3 (2 benchmark families)
Mathematics: 100 / 99.7 (1 benchmark family)
Knowledge: 99.8 / 99.6 (2 benchmark families)
Finance: 99.8 / 97.9 (4 benchmark families)
Legal: 89 / 74.9 (4 benchmark families)
Agentic tasks: 97 / 97.1 (1 benchmark family)
Productivity: 91.6 / 100 (1 benchmark family)

48 matched rows from 19 benchmark families were considered. The radar shows 8 of 11 comparable categories.

Kimi K2.6GLM-5.1
Code MigrationOverall. Higher is better. No documented setup difference
Kimi K2.6Winner27.768 %
GLM-5.125.768 %
CorpFin v2Overall. Higher is better. No documented setup difference
Kimi K2.6Winner66.744 %
GLM-5.164.452 %
Finance Agent (v2)Overall. Higher is better. No documented setup difference
Kimi K2.6Winner44.899 %
GLM-5.144.792 %
GPQA DiamondOverall. Higher is better. No documented setup difference
Kimi K2.6Winner89.142 %
GLM-5.184.518 %
Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. No documented setup difference
Kimi K2.6Winner1.667 %
GLM-5.10 %
Legal Research BenchOverall · All-pass. Higher is better. No documented setup difference
Kimi K2.615.865 %
GLM-5.1Winner27.885 %
LegalBenchOverall. Higher is better. No documented setup difference
Kimi K2.6Winner84.738 %
GLM-5.184.394 %
LiveCodeBench v6Overall. Higher is better. No documented setup difference
Kimi K2.6Winner86.771 %
GLM-5.181.38 %
LMArena Text, Style ControlOverall. Higher is better. No documented setup difference
Kimi K2.61,460.613
GLM-5.1No clear lead1,466.019
MedCodeOverall. Higher is better. No documented setup difference
Kimi K2.640.142 %
GLM-5.1Winner41.604 %
MedScribeOverall. Higher is better. No documented setup difference
Kimi K2.6Winner78.149 %
GLM-5.172.27 %
MMLU-ProOverall. Higher is better. No documented setup difference
Kimi K2.6Winner87.572 %
GLM-5.186.9 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Kimi K2.6 and GLM-5.1
Benchmark and taskKimi K2.6GLM-5.1Source
Code MigrationOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner27.768 %
25.768 %
Vals AI
Source details
Data as of: 09/03/2026
CorpFin v2Overall
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better
Winner66.744 %
64.452 %
Vals AI
Source details
Data as of: 08/12/2026
Finance Agent (v2)Overall
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better
Winner44.899 %
44.792 %
Vals AI
Source details
Data as of: 09/03/2026
GPQA DiamondOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner89.142 %
84.518 %
Vals AI
Source details
Data as of: 09/01/2026
Harvey's Legal Agent BenchmarkOverall · Task fully resolved
Test details
No documented difference in the test setupVersion: 1Metric: task resolution rateScoring: Higher is better
Winner1.667 %
0 %
Vals AI
Source details
Data as of: 09/03/2026
Legal Research BenchOverall · All-pass
Test details
No documented difference in the test setupVersion: 1Metric: all-pass rateScoring: Higher is better
15.865 %
Winner27.885 %
Vals AI
Source details
Data as of: 09/03/2026
LegalBenchOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner84.738 %
84.394 %
Vals AI
Source details
Data as of: 09/01/2026
LiveCodeBench v6Overall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner86.771 %
81.38 %
Vals AI
Source details
Data as of: 09/01/2026
LMArena Text, Style ControlOverall
Test details
No 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
GLM-5.1: Snapshot: glm-5.1, Harness: Arena text, style control
Kimi K2.6: Style-controlled Arena rating from 37,573 anonymous pairwise votes.GLM-5.1: Style-controlled Arena rating from 45,403 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 lead1,466.019
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.
LMArena
Source details
Data as of: 09/01/2026
MedCodeOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
40.142 %
Winner41.604 %
Vals AI
Source details
Data as of: 09/03/2026
MedScribeOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner78.149 %
72.27 %
Vals AI
Source details
Data as of: 09/03/2026
MMLU-ProOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner87.572 %
86.9 %
Vals AI
Source details
Data as of: 09/01/2026
ProgramBenchOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Tie0 %
Tie0 %
Vals AI
Source details
Data as of: 09/01/2026
Public Benefits Bench v1.1Overall
Test details
No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is better
56.631 %
Winner61.84 %
Vals AI
Source details
Data as of: 09/01/2026
SWE-bench VerifiedOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
76.2 %
Winner76.4 %
Vals AI
Source details
Data as of: 09/01/2026
TaxEval v2Overall
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better
Winner74.652 %
71.194 %
Vals AI
Source details
Data as of: 09/01/2026
Terminal-Bench 2.0Overall
Test details
No documented difference in the test setupVersion: 2.0Metric: accuracyScoring: Higher is better
Winner57.303 %
53.933 %
Vals AI
Source details
Data as of: 06/04/2026
Terminal-Bench 2.1Overall
Test details
No documented difference in the test setupVersion: 2.1Metric: accuracyScoring: Higher is better
53.558 %
Winner56.929 %
Vals AI
Source details
Data as of: 09/03/2026
Vals IndexCorpFin v2
Test details
Test 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
Higher measured value68.182 %
65.268 %
Vals AI
Source details
Data as of: 08/09/2026
Vibe Code Bench v1.1Overall
Test details
No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Harness: OpenHands
Winner37.891 %
31.456 %
Vals AI
Source details
Data as of: 09/03/2026
Code MigrationCLI
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
17.977 %
Higher measured value18.833 %
Vals AI
Source details
Data as of: 08/09/2026
CorpFin v2Exact Pages
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 48,000 tokens
Higher measured value64.802 %
61.772 %
Vals AI
Source details
Data as of: 08/06/2026
Finance Agent (v2)Adjustments
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens
37.934 %
Higher measured value43.276 %
Vals AI
Source details
Data as of: 08/06/2026
GPQA DiamondFew-Shot CoT
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens
Higher measured value89.899 %
85.787 %
Vals AI
Source details
Data as of: 08/09/2026
Harvey's Legal Agent BenchmarkAntitrust Competition · Criteria passed
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
63.768 %
Higher measured value71.377 %
Vals AI
Source details
Data as of: 08/07/2026
Legal Research BenchAdministrative / Regulatory · All-pass
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
18.182 %
Higher measured value31.818 %
Vals AI
Source details
Data as of: 08/06/2026
LegalBenchConclusion Tasks
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens
89.413 %
Higher measured value89.575 %
Vals AI
Source details
Data as of: 08/09/2026
LiveCodeBench v6Easy
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 256,000 tokens
Higher measured value99.068 %
98.754 %
Vals AI
Source details
Data as of: 08/09/2026
LMArena Text, Style ControlBusiness, management and finance
Test details
No 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
GLM-5.1: Snapshot: glm-5.1, Harness: Arena text, style control
Kimi K2.6: Style-controlled Arena rating from 7,489 anonymous pairwise votes.GLM-5.1: Style-controlled Arena rating from 9,036 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.
No clear lead1,464.877
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.
LMArena
Source details
Data as of: 09/01/2026
MMLU-ProBiology
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 96,000 tokens
No direct winner93.724 %
No direct winner93.724 %
Vals AI
Source details
Data as of: 08/09/2026
ProgramBenchAlmost Resolved
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
0.5 %
Higher measured value1 %
Vals AI
Source details
Data as of: 08/09/2026
SWE-bench Verified<15 min fix
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
87.629 %
Higher measured value88.66 %
Vals AI
Source details
Data as of: 08/08/2026
TaxEval v2Correctness
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens
Higher measured value62.715 %
61.538 %
Vals AI
Source details
Data as of: 08/09/2026
Terminal-Bench 2.0Easy
Test details
Test setup not documented as identicalNo direct winnerVersion: 2.0Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 256,000 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
No direct winner75 %
No direct winner75 %
Vals AI
Source details
Data as of: 06/04/2026
Terminal-Bench 2.1Easy
Test details
Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 256,000 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
No direct winner83.333 %
No direct winner83.333 %
Vals AI
Source details
Data as of: 08/06/2026
Vals IndexFinance Agent v2
Test details
Test 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
Higher measured value44.932 %
44.79 %
Vals AI
Source details
Data as of: 08/09/2026
Code MigrationCOBOL
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
Higher measured value57.143 %
46.571 %
Vals AI
Source details
Data as of: 08/09/2026
CorpFin v2Max Fitting Context
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 48,000 tokens
Higher measured value67.249 %
66.317 %
Vals AI
Source details
Data as of: 08/06/2026
Finance Agent (v2)All-Pass
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens
32.584 %
Higher measured value32.68 %
Vals AI
Source details
Data as of: 08/06/2026
GPQA DiamondZero-Shot CoT
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens
Higher measured value88.384 %
83.249 %
Vals AI
Source details
Data as of: 08/09/2026
Harvey's Legal Agent BenchmarkAntitrust Competition · Task fully resolved
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
No direct winner0 %
No direct winner0 %
Vals AI
Source details
Data as of: 08/07/2026
Legal Research BenchAdministrative / Regulatory · Weighted partial credit
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
75.531 %
Higher measured value80.005 %
Vals AI
Source details
Data as of: 08/06/2026
LegalBenchInterpretation Tasks
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens
Higher measured value82.197 %
81.709 %
Vals AI
Source details
Data as of: 08/09/2026
LiveCodeBench v6Hard
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 256,000 tokens
Higher measured value71.429 %
57.429 %
Vals AI
Source details
Data as of: 08/09/2026
LMArena Text, Style ControlChinese
Test details
No 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
GLM-5.1: Snapshot: glm-5.1, Harness: Arena text, style control
Kimi K2.6: Style-controlled Arena rating from 1,900 anonymous pairwise votes.GLM-5.1: Style-controlled Arena rating from 2,742 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.
1,516.722
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.
LMArena
Source details
Data as of: 09/01/2026
MMLU-ProBusiness
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 96,000 tokens
Higher measured value91.635 %
91.128 %
Vals AI
Source details
Data as of: 08/09/2026
ProgramBenchFully Resolved
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
No direct winner0 %
No direct winner0 %
Vals AI
Source details
Data as of: 08/09/2026
SWE-bench Verified>4 hours
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
0 %
Higher measured value33.333 %
Vals AI
Source details
Data as of: 08/08/2026
TaxEval v2Stepwise Reasoning
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens
Higher measured value86.59 %
80.851 %
Vals AI
Source details
Data as of: 08/09/2026
Terminal-Bench 2.0Hard
Test details
Test setup not documented as identicalNo direct winnerVersion: 2.0Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 256,000 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
No direct winner36.667 %
No direct winner36.667 %
Vals AI
Source details
Data as of: 06/04/2026
Terminal-Bench 2.1Hard
Test details
Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 256,000 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
25.556 %
Higher measured value37.778 %
Vals AI
Source details
Data as of: 08/06/2026
Vals IndexSWE-bench
Test details
No documented difference in the test setupVersion: 1.2Metric: benchmark scoreScoring: Higher is better
Winner74.51 %
72.549 %
Vals AI
Source details
Data as of: 08/09/2026
Code MigrationCode Quality
Test details
Test 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
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
3.149 / 5
Higher measured value3.544 / 5
Vals AI
Source details
Data as of: 08/09/2026
CorpFin v2Shared Max Context
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 48,000 tokens
Higher measured value68.182 %
65.268 %
Vals AI
Source details
Data as of: 08/06/2026
Finance Agent (v2)Comparables
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens
41.069 %
Higher measured value41.557 %
Vals AI
Source details
Data as of: 08/06/2026
Harvey's Legal Agent BenchmarkArbitration International Dispute Resolution · Criteria passed
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
50.179 %
Higher measured value53.405 %
Vals AI
Source details
Data as of: 08/07/2026
Legal Research BenchBusiness & Commercial · All-pass
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
20.93 %
Higher measured value23.256 %
Vals AI
Source details
Data as of: 08/06/2026
LegalBenchIssue Tasks
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens
Higher measured value90.089 %
89.02 %
Vals AI
Source details
Data as of: 08/09/2026
LiveCodeBench v6Medium
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 256,000 tokens
Higher measured value89.817 %
87.958 %
Vals AI
Source details
Data as of: 08/09/2026
LMArena Text, Style ControlCoding
Test details
No 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
GLM-5.1: Snapshot: glm-5.1, Harness: Arena text, style control
Kimi K2.6: Style-controlled Arena rating from 10,419 anonymous pairwise votes.GLM-5.1: Style-controlled Arena rating from 12,659 anonymous pairwise votes.
No clear lead1,514.216
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.
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.
LMArena
Source details
Data as of: 09/01/2026
MMLU-ProChemistry
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 96,000 tokens
Higher measured value92.491 %
91.844 %
Vals AI
Source details
Data as of: 08/09/2026
ProgramBenchRaw Pass Rate
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
47.952 %
Higher measured value50.879 %
Vals AI
Source details
Data as of: 08/09/2026
SWE-bench Verified1-4 hours
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 128,000 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
40.476 %
Higher measured value45.238 %
Vals AI
Source details
Data as of: 08/08/2026
Terminal-Bench 2.0Medium
Test details
Test setup not documented as identicalNo direct winnerVersion: 2.0Metric: accuracyScoring: Higher is betterKimi K2.6: Top P: 0.95, Output limit: 256,000 tokens
GLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens
Higher measured value67.273 %
61.818 %
Vals AI
Source details
Data as of: 06/04/2026

Key to the marks:better valuebetter, but not conclusivetie

Our model tests

Community tests you can inspect

Compare how the models respond to the same prompt. Each test shows the first attempt, with no subsequent fixes to the generated code. These results do not contribute to an overall score.

Pelican on a bicycle

A community classic for free-form SVG drawing.

Kimi K2.6

API access was unavailable for this run. The model was not evaluated.

First attempt
Run date
7 Sept 2026
API provider
openrouter
Requested API model
moonshotai/kimi-k2.6
Pinned endpoint
Moonshot AI | moonshotai/kimi-k2.6-20260420
Reasoning setting
high
Temperature
Provider default
Token limit including reasoning
8,192 tokens
Test protocol
community-visual-tests-v1
Technical checks
Not run

Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.

GLM-5.1

API access was unavailable for this run. The model was not evaluated.

First attempt
Run date
7 Sept 2026
API provider
openrouter
Requested API model
z-ai/glm-5.1
Pinned endpoint
Z.AI | z-ai/glm-5.1-20260406
Reasoning setting
high
Temperature
Provider default
Token limit including reasoning
8,192 tokens
Test protocol
community-visual-tests-v1
Technical checks
Not run

Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.

Prompt and test conditions

Generate an SVG of a pelican riding a bicycle

Token limit including reasoning: 8,192 tokens

Task origin (Simon Willison)

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

Compare Kimi K2.6 and GLM-5.1 with other leading models using the same data and benchmark logic.

View the complete LLM comparison