Head-to-head comparison

GLM-5.1 vs. MiMo-V2.5

Compare published benchmark results from matching versions and cohorts, API pricing, and technical specifications. Any documented test setup differences remain visible.

shared result series: 98
distinct benchmarks: 17
latest retrieval: 2026-09-04

First modelSecond model

Specifications

General specifications

Release date, availability, context window, architecture, and published parameter counts at a glance. Undisclosed details remain marked as unavailable.

Specifications for GLM-5.1 and MiMo-V2.5
Attribute	GLM-5.1	MiMo-V2.5
Provider	Z.ai	Xiaomi
Released	Apr 7, 2026	Apr 23, 2026
Availability	Open Source	Open Source
Model type	Open Weights	Open Weights
Parameters	744B, 40B active	Not published
Architecture	Mixture of Experts	Mixture of Experts
Context window	200,000 tokens	1,000,000 tokens
Knowledge cutoff	Not published	Not published
Technical sources	Model, Context	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.

API pricing for GLM-5.1 and MiMo-V2.5
Price type	GLM-5.1	MiMo-V2.5
API input	$1.4	$0.14
API output	$4.4	$0.28
Cache read	$0.26	$0.
Cache write (5 min.)	Not listed	Not listed
Cache write (1 hr.)	Not listed	Not listed
Price verified	07/30/2026 Source	07/31/2026 Source

GLM-5.1MiMo-V2.5

API inputUSD per 1M tokens, base tier

GLM-5.1$1.4

MiMo-V2.5$0.14

API outputUSD per 1M tokens, base tier

GLM-5.1$4.4

MiMo-V2.5$0.28

Cache readUSD per 1M tokens, base tier

GLM-5.1$0.26

MiMo-V2.5$0.003

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 GLM-5.1 and MiMo-V2.5
Model	Provider	Purchase route and tariff	Input per 1M tokens	Output per 1M tokens	Source
GLM-5.1	Z.ai	Direct from developerStandard API	$1.4	$4.4	Source07/30/2026
	Alibaba	Via OpenRouteralibaba/fp8	$1.33	$4.18	Source09/06/2026
	AtlasCloud	Via OpenRouteratlas-cloud/fp8	$1.26	$3.96	Source09/06/2026
	Baidu	Via OpenRouterbaidu/fp8	Lowest listed price: $0.9086	Lowest listed price: $2.8556	Source09/06/2026
	Chutes	Via OpenRouterchutes/fp8	$0.98	$3.08	Source09/06/2026
	Crusoe	Via OpenRoutercrusoe/fp8	$1.2	$4.4	Source09/06/2026
	DeepInfra	Via OpenRouterdeepinfra/fp4	$1.05	$3.5	Source09/06/2026
	DigitalOcean	Via OpenRouterdigitalocean	$1.3	$4.3	Source09/06/2026
	Friendli	Via OpenRouterfriendli	$1.4	$4.4	Source09/06/2026
	GMICloud	Via OpenRoutergmicloud/fp8	$0.91	$2.86	Source09/06/2026
	Nebius	Via OpenRouternebius/fp8	$1.4	$4.4	Source09/06/2026
	Novita	Via OpenRouternovita/fp8	$1.38	$4.4	Source09/06/2026
	Phala	Via OpenRouterphala	$1.21	$4.2	Source09/06/2026
	SiliconFlow	Via OpenRoutersiliconflow/fp8	$1.19	$3.74	Source09/06/2026
	StreamLake	Via OpenRouterstreamlake/fp8	$0.966	$3.036	Source09/06/2026
	Venice	Via OpenRoutervenice/fp8	$1.54	$4.84	Source09/06/2026
	Z.AI	Via OpenRouterz-ai/fp8	$1.4	$4.4	Source09/06/2026
MiMo-V2.5	Xiaomi	Direct from developerStandard API	$0.14	$0.28	Source07/31/2026
	DeepInfra	Via OpenRouterdeepinfra/fp8	$0.13	$0.65	Source09/06/2026
	GMICloud	Via OpenRoutergmicloud/fp8	Lowest listed price: $0.119	Lowest listed price: $0.238	Source09/06/2026
	Novita	Via OpenRouternovita/fp8	$0.168	$0.336	Source09/06/2026
	StreamLake	Via OpenRouterstreamlake	$0.168	$0.336	Source09/06/2026
	Xiaomi	Via OpenRouterxiaomi/fp8	$0.14	$0.28	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.

GLM-5.1

MiMo-V2.5

Coding: 94.9 / 89.3 (5 benchmark families)

Reasoning: 100 / 97.4 (2 benchmark families)

Mathematics: 100 / 98 (1 benchmark family)

Knowledge: 100 / 96.7 (2 benchmark families)

Finance: 99.8 / 93.3 (4 benchmark families)

Legal: 75 / 80.7 (4 benchmark families)

Agentic tasks: 93.8 / 100 (1 benchmark family)

Health: 100 / 91.4 (3 benchmark families)

45 matched rows from 17 benchmark families were considered. The radar shows 8 of 10 comparable categories.

GLM-5.1MiMo-V2.5

Code MigrationOverall. Higher is better. No documented setup difference

GLM-5.125.768 %

MiMo-V2.514.228 %

CorpFin v2Overall. Higher is better. No documented setup difference

GLM-5.164.452 %

MiMo-V2.559.907 %

Finance Agent (v2)Overall. Higher is better. No documented setup difference

GLM-5.144.792 %

MiMo-V2.536.728 %

GPQA DiamondOverall. Higher is better. No documented setup difference

GLM-5.184.518 %

MiMo-V2.581.566 %

Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. No documented setup difference

GLM-5.10 %

MiMo-V2.51.667 %

Legal Research BenchOverall · All-pass. Higher is better. No documented setup difference

GLM-5.127.885 %

MiMo-V2.59.135 %

LegalBenchOverall. Higher is better. No documented setup difference

GLM-5.184.394 %

MiMo-V2.578.886 %

LiveCodeBench v6Overall. Higher is better. No documented setup difference

GLM-5.181.38 %

MiMo-V2.581.512 %

LMArena Text, Style ControlOverall. Higher is better. No documented setup difference

GLM-5.11,466.019

MiMo-V2.51,433.798

MedCodeOverall. Higher is better. No documented setup difference

GLM-5.141.604 %

MiMo-V2.531.895 %

MedScribeOverall. Higher is better. No documented setup difference

GLM-5.172.27 %

MiMo-V2.572.151 %

MMLU-ProOverall. Higher is better. No documented setup difference

GLM-5.186.9 %

MiMo-V2.582.931 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for GLM-5.1 and MiMo-V2.5
Benchmark and task	GLM-5.1	MiMo-V2.5	Source
Code MigrationOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner25.768 %	14.228 %	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	Winner64.452 %	59.907 %	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	Winner44.792 %	36.728 %	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	Winner84.518 %	81.566 %	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	0 %	Winner1.667 %	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	Winner27.885 %	9.135 %	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	Winner84.394 %	78.886 %	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	81.38 %	Winner81.512 %	Vals AI Source details Data as of: 09/01/2026
LMArena Text, Style ControlOverall Test details No documented difference in the test setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGLM-5.1: Snapshot: glm-5.1, Harness: Arena text, style control MiMo-V2.5: Snapshot: mimo-v2.5, Harness: Arena text, style controlGLM-5.1: Style-controlled Arena rating from 45,403 anonymous pairwise votes.MiMo-V2.5: Style-controlled Arena rating from 44,540 anonymous pairwise votes.	Winner1,466.019 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.	1,433.798 95% confidence interval: ±4.342The 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	Winner41.604 %	31.895 %	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	Winner72.27 %	72.151 %	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	Winner86.9 %	82.931 %	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	Winner76.4 %	71 %	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	71.194 %	Winner71.832 %	Vals AI Source details Data as of: 09/01/2026
Terminal-Bench 2.1Overall Test details No documented difference in the test setupVersion: 2.1Metric: accuracyScoring: Higher is better	56.929 %	Winner60.674 %	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 betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value65.268 %	60.14 %	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	31.456 %	Winner42.174 %	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 betterGLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value18.833 %	9.88 %	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 betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value61.772 %	59.441 %	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 betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value43.276 %	31.746 %	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 betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value85.787 %	79.798 %	Vals AI Source details Data as of: 08/09/2026
LegalBenchConclusion Tasks Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value89.575 %	86.386 %	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 betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value98.754 %	98.447 %	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 setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGLM-5.1: Snapshot: glm-5.1, Harness: Arena text, style control MiMo-V2.5: Snapshot: mimo-v2.5, Harness: Arena text, style controlGLM-5.1: Style-controlled Arena rating from 9,036 anonymous pairwise votes.MiMo-V2.5: Style-controlled Arena rating from 9,127 anonymous pairwise votes.	Winner1,464.877 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.	1,441.542 95% confidence interval: ±7.42The 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 betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value93.724 %	90.237 %	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 betterGLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value88.66 %	80.928 %	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 betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value61.538 %	60.752 %	Vals AI Source details Data as of: 08/09/2026
Terminal-Bench 2.1Easy Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	83.333 %	Higher measured value100 %	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 betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value44.79 %	37.61 %	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 betterGLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value46.571 %	27.273 %	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 betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value66.317 %	60.14 %	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 betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value32.68 %	23.785 %	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 betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	83.249 %	Higher measured value83.333 %	Vals AI Source details Data as of: 08/09/2026
LegalBenchInterpretation Tasks Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value81.709 %	74.351 %	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 betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	57.429 %	Higher measured value59.143 %	Vals AI Source details Data as of: 08/09/2026
LMArena Text, Style ControlChinese Test details No documented difference in the test setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGLM-5.1: Snapshot: glm-5.1, Harness: Arena text, style control MiMo-V2.5: Snapshot: mimo-v2.5, Harness: Arena text, style controlGLM-5.1: Style-controlled Arena rating from 2,742 anonymous pairwise votes.MiMo-V2.5: Style-controlled Arena rating from 2,140 anonymous pairwise votes.	Winner1,516.722 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.	1,483.45 95% confidence interval: ±13.352The 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 betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value91.128 %	89.227 %	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 betterGLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value33.333 %	0 %	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 betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	80.851 %	Higher measured value82.911 %	Vals AI Source details Data as of: 08/09/2026
Terminal-Bench 2.1Hard Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value37.778 %	36.667 %	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	Winner72.549 %	64.706 %	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 betterGLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value3.544 / 5	2.788 / 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 betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value65.268 %	60.14 %	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 betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value41.557 %	31.672 %	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 betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value89.02 %	86.337 %	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 betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value87.958 %	86.945 %	Vals AI Source details Data as of: 08/09/2026
LMArena Text, Style ControlCoding Test details No documented difference in the test setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGLM-5.1: Snapshot: glm-5.1, Harness: Arena text, style control MiMo-V2.5: Snapshot: mimo-v2.5, Harness: Arena text, style controlGLM-5.1: Style-controlled Arena rating from 12,659 anonymous pairwise votes.MiMo-V2.5: Style-controlled Arena rating from 12,854 anonymous pairwise votes.	Winner1,513.669 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.	1,491.02 95% confidence interval: ±6.676The 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 betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value91.844 %	89.841 %	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 betterGLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value45.238 %	33.333 %	Vals AI Source details Data as of: 08/08/2026
Terminal-Bench 2.1Medium Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	65.455 %	Higher measured value70.909 %	Vals AI Source details Data as of: 08/06/2026
Vals IndexTerminal-Bench 2.1 Test details Test setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	56.929 %	Higher measured value60.674 %	Vals AI Source details Data as of: 08/09/2026
Finance Agent (v2)Disclosure Analysis Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value52.713 %	47.346 %	Vals AI Source details Data as of: 08/06/2026
LegalBenchRhetoric Tasks Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value81.108 %	77.776 %	Vals AI Source details Data as of: 08/09/2026
LMArena Text, Style ControlCreative writing Test details No documented difference in the test setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGLM-5.1: Snapshot: glm-5.1, Harness: Arena text, style control MiMo-V2.5: Snapshot: mimo-v2.5, Harness: Arena text, style controlGLM-5.1: Style-controlled Arena rating from 8,409 anonymous pairwise votes.MiMo-V2.5: Style-controlled Arena rating from 7,343 anonymous pairwise votes.	Winner1,447.489 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.	1,392.817 95% confidence interval: ±8.004The 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-ProComputer Science Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value89.487 %	86.585 %	Vals AI Source details Data as of: 08/09/2026
SWE-bench Verified15 min - 1 hour Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGLM-5.1: Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens MiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value72.797 %	70.498 %	Vals AI Source details Data as of: 08/08/2026
Vals IndexVibe Code Bench Test details Test setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	32.804 %	Higher measured value48.148 %	Vals AI Source details Data as of: 08/09/2026
Finance Agent (v2)Earnings Analysis Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value56.958 %	45.006 %	Vals AI Source details Data as of: 08/06/2026
LegalBenchRule Tasks Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value80.56 %	69.582 %	Vals AI Source details Data as of: 08/09/2026
LMArena Text, Style ControlEnglish Test details No documented difference in the test setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGLM-5.1: Snapshot: glm-5.1, Harness: Arena text, style control MiMo-V2.5: Snapshot: mimo-v2.5, Harness: Arena text, style controlGLM-5.1: Style-controlled Arena rating from 20,248 anonymous pairwise votes.MiMo-V2.5: Style-controlled Arena rating from 20,213 anonymous pairwise votes.	Winner1,480.022 95% confidence interval: ±5.164The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.	1,452.388 95% confidence interval: ±5.607The 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-ProEconomics Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value88.981 %	86.73 %	Vals AI Source details Data as of: 08/09/2026
Finance Agent (v2)Financial Modeling Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value13.466 %	5.271 %	Vals AI Source details Data as of: 08/06/2026
LMArena Text, Style ControlEntertainment, sports and media Test details No documented difference in the test setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGLM-5.1: Snapshot: glm-5.1, Harness: Arena text, style control MiMo-V2.5: Snapshot: mimo-v2.5, Harness: Arena text, style controlGLM-5.1: Style-controlled Arena rating from 10,350 anonymous pairwise votes.MiMo-V2.5: Style-controlled Arena rating from 9,698 anonymous pairwise votes.	Winner1,442.227 95% confidence interval: ±6.829The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.	1,401.59 95% confidence interval: ±7.383The 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-ProEngineering Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMiMo-V2.5: Temperature: 1, Top P: 0.95, Output limit: 128,000 tokens	Higher measured value84.029 %	81.011 %	Vals AI Source details Data as of: 08/09/2026
Key to the marks:better valuebetter, but not conclusivetie

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