Head-to-head comparison

Muse Wonder vs. GLM-5.2

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

shared result series: 125
distinct benchmarks: 17
latest retrieval: 2026-10-15

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 Muse Wonder and GLM-5.2
Attribute	Muse Wonder	GLM-5.2
Provider	Meta	Z.ai
Released	Oct 12, 2026	Jun 16, 2026
Availability	Preview	Open Source
Model type	Proprietary	Open Weights
Parameters	Not published	744B, 40B active
Architecture	Not published	Mixture of Experts
Context window	1,048,576 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 Muse Wonder and GLM-5.2
Price type	Muse Wonder	GLM-5.2
API input	$4	$1.4
API output	$20	$4.4
Cache read	$0.2	$0.26
Cache write (5 min.)	Not listed	Not listed
Cache write (1 hr.)	Not listed	Not listed
Price verified	10/15/2026 Source	09/22/2026 Source

Muse WonderGLM-5.2

API inputUSD per 1M tokens, base tier

Muse Wonder$4

GLM-5.2$1.4

API outputUSD per 1M tokens, base tier

Muse Wonder$20

GLM-5.2$4.4

Cache readUSD per 1M tokens, base tier

Muse Wonder$0.2

GLM-5.2$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.

No provider tariff for Muse Wonder is available in the stored OpenRouter snapshot. The official direct price is still shown.

Provider pricing for Muse Wonder and GLM-5.2
Model	Provider	Purchase route and tariff	Input per 1M tokens	Output per 1M tokens	Source
Muse Wonder	Meta	Direct from developerStandard API	Lowest listed price: $4	Lowest listed price: $20	Source10/15/2026
GLM-5.2	Z.ai	Direct from developerStandard API	$1.4	$4.4	Source09/22/2026
	Alibaba	Via OpenRouteralibaba/fast	$2.31	$7.26	Source10/16/2026
	Alibaba	Via OpenRouteralibaba/fp8	$0.966	$3.036	Source10/16/2026
	Alibaba	Via OpenRouteralibaba/fp8/us-east-1	$1.12	$3.52	Source10/16/2026
	AtlasCloud	Via OpenRouteratlas-cloud/fp8	$0.938	$2.948	Source10/16/2026
	Baidu	Via OpenRouterbaidu/fast	$2.25	$7.88	Source10/16/2026
	Baidu	Via OpenRouterbaidu/fp8	$1.4	$4.4	Source10/16/2026
	BaseTen	Via OpenRouterbaseten/fast	$2.1	$6.6	Source10/16/2026
	BaseTen	Via OpenRouterbaseten/fp8	$1.4	$4.4	Source10/16/2026
	BaseTen	Via OpenRouterbaseten/fp8/us	$1.4	$4.4	Source10/16/2026
	BaseTen	Via OpenRouterbaseten/us/fast	$2.1	$6.6	Source10/16/2026
	Cloudflare	Via OpenRoutercloudflare	$0.19	$8	Source10/16/2026
	CoreWeave	Via OpenRoutercoreweave/fp4	$0.62	$2.42	Source10/16/2026
	Decart	Via OpenRouterdecart/fast	$2.5	$9	Source10/16/2026
	DeepInfra	Via OpenRouterdeepinfra/fp4	$0.5625	Lowest listed price: $1.8	Source10/16/2026
	DigitalOcean	Via OpenRouterdigitalocean	$0.7	$2.2	Source10/16/2026
	Friendli	Via OpenRouterfriendli	$1.4	$4.4	Source10/16/2026
	GMICloud	Via OpenRoutergmicloud/fp8	$1.4	$4.4	Source10/16/2026
	Inceptron	Via OpenRouterinceptron/fp4	$0.69	$3.15	Source10/16/2026
	Mistral	Via OpenRoutermistral/eu	$1.54	$4.84	Source10/16/2026
	Mistral	Via OpenRoutermistral/zdr	$1.4	$4.4	Source10/16/2026
	Morph	Via OpenRoutermorph/fp8	$0.079	$6	Source10/16/2026
	Nebius	Via OpenRouternebius/fp4	$1.4	$4.4	Source10/16/2026
	Novita	Via OpenRouternovita/fp8	$0.6496	$2.0416	Source10/16/2026
	Parasail	Via OpenRouterparasail/fp4	$1.4	$4.4	Source10/16/2026
	Relace	Via OpenRouterrelace	Lowest listed price: $0.0351	$6	Source10/16/2026
	SiliconFlow	Via OpenRoutersiliconflow/fp8	$0.7	$2.2	Source10/16/2026
	StreamLake	Via OpenRouterstreamlake/fp8	$0.6131	$1.9268	Source10/16/2026
	Together	Via OpenRoutertogether	$1.4	$4.4	Source10/16/2026
	Venice	Via OpenRoutervenice/fp8	$1.4	$4.4	Source10/16/2026
	Wafer	Via OpenRouterwafer	$0.19	$8	Source10/16/2026
	Wafer	Via OpenRouterwafer/us	$0.037	$7	Source10/16/2026
	Z.AI	Via OpenRouterz-ai/fp8	$1.4	$4.4	Source10/16/2026

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.

Muse Wonder

GLM-5.2

Coding: 100 / 65 (3 benchmark families)

Reasoning: 100 / 77.9 (4 benchmark families)

Knowledge: 100 / 58.1 (2 benchmark families)

Finance: 100 / 97.7 (1 benchmark family)

Agentic tasks: 100 / 64.4 (3 benchmark families)

General: 100 / 97.3 (1 benchmark family)

Overall: 100 / 64.3 (1 benchmark family)

31 matched rows from 11 benchmark families were considered. The radar shows 7 of 7 comparable categories.

Muse WonderGLM-5.2

AA-BriefcaseOverall. Higher is better. No documented setup difference

Muse Wonder1,658.65 elo

GLM-5.21,228.86 elo

AA-LCROverall. Higher is better. No documented setup difference

Muse Wonder80.7%

GLM-5.278.3%

AA-OmniscienceOverall. Higher is better. No documented setup difference

Muse Wonder25.483 points

GLM-5.24.433 points

Artificial Analysis Intelligence IndexOverall. Higher is better. No documented setup difference

Muse Wonder52.394 points

GLM-5.233.705 points

AutomationBench-AAOverall. Higher is better. No documented setup difference

Muse Wonder68.1%

GLM-5.228.4%

Code MigrationOverall. Higher is better. Test setup not documented as identical

Muse Wonder62.552 %

GLM-5.237.87 %

EMBOverall. Higher is better. Test setup not documented as identical

Muse Wonder67.084 %

GLM-5.261.532 %

Finance Agent (v2)Overall. Higher is better. Test setup not documented as identical

Muse Wonder56.637 %

GLM-5.249.699 %

GDP.pdfOverall. Higher is better. No documented setup difference

Muse Wonder30.6%

GLM-5.210.4%

GDPval-AAOverall. Higher is better. No documented setup difference

Muse Wonder1,770.34 elo

GLM-5.21,372.01 elo

Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. Test setup not documented as identical

Muse Wonder17.083 %

GLM-5.27.083 %

Humanity's Last ExamOverall. Higher is better. No documented setup difference

Muse Wonder50.1%

GLM-5.241.1%

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Muse Wonder and GLM-5.2
Benchmark and task	Muse Wonder	GLM-5.2	Source
AA-BriefcaseOverall Test details No documented difference in the test setupVersion: v1.1Metric: AA-Briefcase EloScoring: Higher is betterMuse Wonder: Snapshot: Muse Wonder (Max), Reasoning: Max GLM-5.2: Snapshot: GLM-5.2 (Max), Reasoning: MaxMuse Wonder: Exact AA configuration: Muse Wonder (Max) (release muse-wonder, row muse-wonder, UUID ff2f3f3d-783f-4e27-8a39-47237501a313, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption.GLM-5.2: Exact AA configuration: GLM-5.2 (Max) (release glm-5-2, row glm-5-2, UUID f7a4ea75-e548-4069-80d4-9be8bc7c009b, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption.	Winner1,658.65 elo	1,228.86 elo	Artificial Analysis Source details Data as of: 10/15/2026
AA-LCROverall Test details No documented difference in the test setupVersion: v1.1Metric: Pass rateScoring: Higher is betterMuse Wonder: Snapshot: Muse Wonder (Max), Reasoning: Max GLM-5.2: Snapshot: GLM-5.2 (Max), Reasoning: MaxMuse Wonder: Exact AA configuration: Muse Wonder (Max) (release muse-wonder, row muse-wonder, UUID ff2f3f3d-783f-4e27-8a39-47237501a313, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption.GLM-5.2: Exact AA configuration: GLM-5.2 (Max) (release glm-5-2, row glm-5-2, UUID f7a4ea75-e548-4069-80d4-9be8bc7c009b, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption.	Winner80.7%	78.3%	Artificial Analysis Source details Data as of: 10/15/2026
AA-OmniscienceOverall Test details No documented difference in the test setupVersion: unspecifiedMetric: AA-Omniscience IndexScoring: Higher is betterMuse Wonder: Snapshot: Muse Wonder (Max), Reasoning: Max GLM-5.2: Snapshot: GLM-5.2 (Max), Reasoning: MaxMuse Wonder: Exact AA configuration: Muse Wonder (Max) (release muse-wonder, row muse-wonder, UUID ff2f3f3d-783f-4e27-8a39-47237501a313, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption.GLM-5.2: Exact AA configuration: GLM-5.2 (Max) (release glm-5-2, row glm-5-2, UUID f7a4ea75-e548-4069-80d4-9be8bc7c009b, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption.	Winner25.483 points The index can be negative and ranges from -100 to 100 according to Artificial Analysis.	4.433 points The index can be negative and ranges from -100 to 100 according to Artificial Analysis.	Artificial Analysis Source details Data as of: 10/15/2026
Artificial Analysis Intelligence IndexOverall Test details No documented difference in the test setupVersion: v4.3.2Metric: Artificial Analysis Intelligence IndexScoring: Higher is betterMuse Wonder: Snapshot: Muse Wonder (Max), Reasoning: Max GLM-5.2: Snapshot: GLM-5.2 (Max), Reasoning: MaxMuse Wonder: Exact AA configuration: Muse Wonder (Max) (release muse-wonder, row muse-wonder, UUID ff2f3f3d-783f-4e27-8a39-47237501a313, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption.GLM-5.2: Exact AA configuration: GLM-5.2 (Max) (release glm-5-2, row glm-5-2, UUID f7a4ea75-e548-4069-80d4-9be8bc7c009b, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption.	Winner52.394 points	33.705 points	Artificial Analysis Source details Data as of: 10/15/2026
AutomationBench-AAOverall Test details No documented difference in the test setupVersion: unspecifiedMetric: Objectives completed without guardrail violationsScoring: Higher is betterMuse Wonder: Snapshot: Muse Wonder (Max), Reasoning: Max GLM-5.2: Snapshot: GLM-5.2 (Max), Reasoning: MaxMuse Wonder: Exact AA configuration: Muse Wonder (Max) (release muse-wonder, row muse-wonder, UUID ff2f3f3d-783f-4e27-8a39-47237501a313, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption.GLM-5.2: Exact AA configuration: GLM-5.2 (Max) (release glm-5-2, row glm-5-2, UUID f7a4ea75-e548-4069-80d4-9be8bc7c009b, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption.	Winner68.1%	28.4%	Artificial Analysis Source details Data as of: 10/15/2026
Code MigrationOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value62.552 %	37.87 %	Vals AI Source details Data as of: 10/12/2026
EMBOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens	Higher measured value67.084 %	61.532 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)Overall Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens	Higher measured value56.637 %	49.699 %	Vals AI Source details Data as of: 10/12/2026
GDP.pdfOverall Test details No documented difference in the test setupVersion: unspecifiedMetric: All-pass rateScoring: Higher is betterMuse Wonder: Snapshot: Muse Wonder (Max), Reasoning: Max GLM-5.2: Snapshot: GLM-5.2 (Max), Reasoning: MaxMuse Wonder: Exact AA configuration: Muse Wonder (Max) (release muse-wonder, row muse-wonder, UUID ff2f3f3d-783f-4e27-8a39-47237501a313, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption.GLM-5.2: Exact AA configuration: GLM-5.2 (Max) (release glm-5-2, row glm-5-2, UUID f7a4ea75-e548-4069-80d4-9be8bc7c009b, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption.	Winner30.6%	10.4%	Artificial Analysis Source details Data as of: 10/15/2026
GDPval-AAOverall Test details No documented difference in the test setupVersion: v2.1Metric: GDPval-AA EloScoring: Higher is betterMuse Wonder: Snapshot: Muse Wonder (Max), Reasoning: Max GLM-5.2: Snapshot: GLM-5.2 (Max), Reasoning: MaxMuse Wonder: Exact AA configuration: Muse Wonder (Max) (release muse-wonder, row muse-wonder, UUID ff2f3f3d-783f-4e27-8a39-47237501a313, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption.GLM-5.2: Exact AA configuration: GLM-5.2 (Max) (release glm-5-2, row glm-5-2, UUID f7a4ea75-e548-4069-80d4-9be8bc7c009b, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption.	Winner1,770.34 elo	1,372.01 elo	Artificial Analysis Source details Data as of: 10/15/2026
Harvey's Legal Agent BenchmarkOverall · Task fully resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value17.083 %	7.083 %	Vals AI Source details Data as of: 10/12/2026
Humanity's Last ExamOverall Test details No documented difference in the test setupVersion: unspecifiedMetric: Text-only pass@1 accuracyScoring: Higher is betterMuse Wonder: Snapshot: Muse Wonder (Max), Reasoning: Max GLM-5.2: Snapshot: GLM-5.2 (Max), Reasoning: MaxMuse Wonder: Exact AA configuration: Muse Wonder (Max) (release muse-wonder, row muse-wonder, UUID ff2f3f3d-783f-4e27-8a39-47237501a313, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption.GLM-5.2: Exact AA configuration: GLM-5.2 (Max) (release glm-5-2, row glm-5-2, UUID f7a4ea75-e548-4069-80d4-9be8bc7c009b, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption.	Winner50.1% Artificial Analysis describes this comparable run as 2,158 text-only questions, not the full 2,500-question dataset.	41.1% Artificial Analysis describes this comparable run as 2,158 text-only questions, not the full 2,500-question dataset.	Artificial Analysis Source details Data as of: 10/15/2026
Legal Research BenchOverall · All-pass Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value50.481 %	31.25 %	Vals AI Source details Data as of: 10/12/2026
LMArena Code Arena WebDevOverall Test details No documented difference in the test setupVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterMuse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Code Arena WebDev GLM-5.2: Snapshot: glm-5.2-max, Reasoning: max, Harness: Arena Code Arena WebDevMuse Wonder: Arena rating from 1,228 published pairwise votes.GLM-5.2: Arena rating from 16,093 published pairwise votes.	Winner1,650.947 95% confidence interval: ±18.263The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,604.113 95% confidence interval: ±6.139The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Text, Style ControlOverall Test details No documented difference in the test setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterMuse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control GLM-5.2: Snapshot: glm-5.2-max, Reasoning: max, Harness: Arena Text, style controlMuse Wonder: Arena rating from 1,944 published pairwise votes.GLM-5.2: Arena rating from 49,127 published pairwise votes.	Winner1,512.671 95% confidence interval: ±13.236The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,475.47 95% confidence interval: ±4.2The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
Terminal-BenchOverall Test details No documented difference in the test setupVersion: 4.0Metric: Task successScoring: Higher is betterMuse Wonder: Snapshot: Muse Wonder (Max), Reasoning: Max GLM-5.2: Snapshot: GLM-5.2 (Max), Reasoning: MaxMuse Wonder: Exact AA configuration: Muse Wonder (Max) (release muse-wonder, row muse-wonder, UUID ff2f3f3d-783f-4e27-8a39-47237501a313, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption.GLM-5.2: Exact AA configuration: GLM-5.2 (Max) (release glm-5-2, row glm-5-2, UUID f7a4ea75-e548-4069-80d4-9be8bc7c009b, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption.	Winner52.0%	1.0%	Artificial Analysis Source details Data as of: 10/15/2026
Vibe Code Bench v1.1Overall Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Harness: OpenHands, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Reasoning: max, Harness: OpenHands, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value83.089 %	63.961 %	Vals AI Source details Data as of: 10/12/2026
Code MigrationCLI Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value60.07 %	27.16 %	Vals AI Source details Data as of: 10/12/2026
EMBComps Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens	Higher measured value79.488 %	54.922 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)Adjustments Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens	Higher measured value52.67 %	46.305 %	Vals AI Source details Data as of: 10/12/2026
Harvey's Legal Agent BenchmarkAntitrust Competition · Criteria passed Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value93.841 %	87.319 %	Vals AI Source details Data as of: 10/12/2026
Legal Research BenchAdministrative / Regulatory · All-pass Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value63.636 %	39.394 %	Vals AI Source details Data as of: 10/12/2026
LMArena Code Arena WebDevWebdev Test details No documented difference in the test setupVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterMuse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Code Arena WebDev GLM-5.2: Snapshot: glm-5.2-max, Reasoning: max, Harness: Arena Code Arena WebDevMuse Wonder: Arena rating from 1,228 published pairwise votes.GLM-5.2: Arena rating from 16,093 published pairwise votes.	Winner1,650.947 95% confidence interval: ±18.263The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,604.113 95% confidence interval: ±6.139The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
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 betterMuse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control GLM-5.2: Snapshot: glm-5.2-max, Reasoning: max, Harness: Arena Text, style controlMuse Wonder: Arena rating from 338 published pairwise votes.GLM-5.2: Arena rating from 9,419 published pairwise votes.	No clear lead1,500.247 95% confidence interval: ±30.856The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,465.257 95% confidence interval: ±6.87The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
Code MigrationCOBOL Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	No direct winner70 %	No direct winner70 %	Vals AI Source details Data as of: 10/12/2026
EMBDataroom Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens	79.232 %	Higher measured value83.444 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)All-Pass Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens	Higher measured value45.936 %	38.006 %	Vals AI Source details Data as of: 10/12/2026
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 betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value20 %	0 %	Vals AI Source details Data as of: 10/12/2026
Legal Research BenchAdministrative / Regulatory · Weighted partial credit Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value90.571 %	85.95 %	Vals AI Source details Data as of: 10/12/2026
LMArena Code Arena WebDevWebdev-html Test details No documented difference in the test setupVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterMuse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Code Arena WebDev GLM-5.2: Snapshot: glm-5.2-max, Reasoning: max, Harness: Arena Code Arena WebDevMuse Wonder: Arena rating from 158 published pairwise votes.GLM-5.2: Arena rating from 1,944 published pairwise votes.	Winner1,721.908 95% confidence interval: ±51.47The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,565.994 95% confidence interval: ±14.905The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Text, Style ControlCoding Test details No documented difference in the test setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterMuse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control GLM-5.2: Snapshot: glm-5.2-max, Reasoning: max, Harness: Arena Text, style controlMuse Wonder: Arena rating from 487 published pairwise votes.GLM-5.2: Arena rating from 13,235 published pairwise votes.	Winner1,557.956 95% confidence interval: ±26.189The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,512.842 95% confidence interval: ±6.235The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
Code MigrationCode Quality Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: mean reviewer code-quality ratingScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value4.061 / 5	3.981 / 5	Vals AI Source details Data as of: 10/12/2026
EMBDCF Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens	51.035 %	Higher measured value52.968 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)Comparables Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens	Higher measured value47.933 %	44.78 %	Vals AI Source details Data as of: 10/12/2026
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 betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value92.473 %	91.756 %	Vals AI Source details Data as of: 10/12/2026
Legal Research BenchBusiness & Commercial · All-pass Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value48.837 %	27.907 %	Vals AI Source details Data as of: 10/12/2026
LMArena Code Arena WebDevWebdev-react Test details No documented difference in the test setupNo clear leadVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterMuse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Code Arena WebDev GLM-5.2: Snapshot: glm-5.2-max, Reasoning: max, Harness: Arena Code Arena WebDevMuse Wonder: Arena rating from 787 published pairwise votes.GLM-5.2: Arena rating from 11,017 published pairwise votes.	No clear lead1,637.813 95% confidence interval: ±23.199The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,616.602 95% confidence interval: ±7.143The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
LMArena Text, Style ControlCreative writing Test details No documented difference in the test setupNo clear leadVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterMuse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control GLM-5.2: Snapshot: glm-5.2-max, Reasoning: max, Harness: Arena Text, style controlMuse Wonder: Arena rating from 427 published pairwise votes.GLM-5.2: Arena rating from 9,779 published pairwise votes.	No clear lead1,485.682 95% confidence interval: ±29.474The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,452.908 95% confidence interval: ±7.079The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
EMBLBO Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens	Higher measured value60.69 %	51.815 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)Disclosure Analysis Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens	Higher measured value67.252 %	61.588 %	Vals AI Source details Data as of: 10/12/2026
Harvey's Legal Agent BenchmarkArbitration International Dispute Resolution · Task fully resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	No direct winner0 %	No direct winner0 %	Vals AI Source details Data as of: 10/12/2026
Legal Research BenchBusiness & Commercial · Weighted partial credit Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	86.88 %	Higher measured value87.466 %	Vals AI Source details Data as of: 10/12/2026
LMArena Text, Style ControlEnglish Test details No documented difference in the test setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterMuse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control GLM-5.2: Snapshot: glm-5.2-max, Reasoning: max, Harness: Arena Text, style controlMuse Wonder: Arena rating from 802 published pairwise votes.GLM-5.2: Arena rating from 20,261 published pairwise votes.	Winner1,523.395 95% confidence interval: ±20.831The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,481.816 95% confidence interval: ±5.337The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
EMBM&A Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens	Higher measured value76.852 %	63.913 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)Earnings Analysis Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens	Higher measured value76.768 %	66.596 %	Vals AI Source details Data as of: 10/12/2026
Harvey's Legal Agent BenchmarkBanking Finance · Criteria passed Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value94.424 %	85.874 %	Vals AI Source details Data as of: 10/12/2026
Legal Research BenchCivil Litigation · All-pass Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value37.037 %	25.926 %	Vals AI Source details Data as of: 10/12/2026
LMArena Text, Style ControlEntertainment, sports and media Test details No documented difference in the test setupNo clear leadVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterMuse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control GLM-5.2: Snapshot: glm-5.2-max, Reasoning: max, Harness: Arena Text, style controlMuse Wonder: Arena rating from 536 published pairwise votes.GLM-5.2: Arena rating from 12,166 published pairwise votes.	No clear lead1,468.099 95% confidence interval: ±25.703The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,446.043 95% confidence interval: ±6.546The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
EMBMisc Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens	56.936 %	Higher measured value60.775 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)Financial Modeling Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens	Higher measured value22.515 %	12.885 %	Vals AI Source details Data as of: 10/12/2026
Harvey's Legal Agent BenchmarkBanking Finance · Task fully resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value20 %	0 %	Vals AI Source details Data as of: 10/12/2026
Legal Research BenchCivil Litigation · Weighted partial credit Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value89.018 %	86.955 %	Vals AI Source details Data as of: 10/12/2026
LMArena Text, Style ControlExcluding ties Test details No documented difference in the test setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterMuse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control GLM-5.2: Snapshot: glm-5.2-max, Reasoning: max, Harness: Arena Text, style controlMuse Wonder: Arena rating from 1,390 published pairwise votes.GLM-5.2: Arena rating from 36,397 published pairwise votes.	Winner1,538.781 95% confidence interval: ±18.91The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,484.899 95% confidence interval: ±5.47The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
EMBOperating Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens	Higher measured value65.354 %	62.888 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)General Qualitative Analysis Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens	Higher measured value70.779 %	68.73 %	Vals AI Source details Data as of: 10/12/2026
Harvey's Legal Agent BenchmarkBankruptcy Restructuring · Criteria passed Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value89.965 %	74.394 %	Vals AI Source details Data as of: 10/12/2026
Legal Research BenchConstitutional / Civil Rights · All-pass Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value39.474 %	28.947 %	Vals AI Source details Data as of: 10/12/2026
LMArena Text, Style ControlExpert prompts Test details No documented difference in the test setupNo clear leadVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterMuse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control GLM-5.2: Snapshot: glm-5.2-max, Reasoning: max, Harness: Arena Text, style controlMuse Wonder: Arena rating from 212 published pairwise votes.GLM-5.2: Arena rating from 5,201 published pairwise votes.	No clear lead1,512.579 95% confidence interval: ±38.177The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,501.875 95% confidence interval: ±8.773The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
EMBScratch Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens	Higher measured value69.002 %	66.693 %	Vals AI Source details Data as of: 10/12/2026
Finance Agent (v2)General Quantitative Analysis Test details Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens	Higher measured value77.605 %	65.524 %	Vals AI Source details Data as of: 10/12/2026
Harvey's Legal Agent BenchmarkBankruptcy Restructuring · Task fully resolved Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	No direct winner0 %	No direct winner0 %	Vals AI Source details Data as of: 10/12/2026
Legal Research BenchConstitutional / Civil Rights · Weighted partial credit Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Reasoning: max, Temperature: 1, Top P: 0.95, Output limit: 131,072 tokens	Higher measured value89.259 %	86.095 %	Vals AI Source details Data as of: 10/12/2026
LMArena Text, Style ControlHard prompts Test details No documented difference in the test setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterMuse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Text, style control GLM-5.2: Snapshot: glm-5.2-max, Reasoning: max, Harness: Arena Text, style controlMuse Wonder: Arena rating from 1,218 published pairwise votes.GLM-5.2: Arena rating from 32,048 published pairwise votes.	Winner1,533.453 95% confidence interval: ±16.637The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	1,495.811 95% confidence interval: ±4.808The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result.	LMArena Source details Data as of: 10/13/2026
EMBTemplate Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens	Higher measured value65.731 %	55.814 %	Vals AI Source details Data as of: 10/12/2026
Key to the marks:better valuebetter, but not conclusivetie

Our model tests

Our tests

There is no shared test round for this selection. Results from different rounds are not mixed.

Earlier tests

Pelican on a bicycle

A community classic for free-form SVG drawing.

Muse Wonder

Not tested yet

GLM-5.2

Output withheld for safety

Reasoning (requested): high

Current attempt

Run date: Oct 5, 2026
API provider: openrouter
Requested API model: z-ai/glm-5.2
API model reported in response: z-ai/glm-5.2
Reasoning setting: high
Pinned endpoint: Z.AI | z-ai/glm-5.2-20260616
Temperature: Provider default
Token limit including reasoning: 8,192 tokens
Test protocol: community-visual-tests-v1
Technical checks: Failed
Response time: 31.4 s

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

Earlier attempts (3)

Oct 2, 2026API request failedReasoning setting: high
Oct 1, 2026API request failedReasoning setting: high
Sep 7, 2026API request failedReasoning setting: high

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.

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Compare Muse Wonder and GLM-5.2 with other leading models using the same data and benchmark logic.

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