Muse Wonder Full
Not tested yet
Head-to-head comparison
Compare published benchmark results from matching versions and cohorts, API pricing, and technical specifications. Any documented test setup differences remain visible.
Specifications
Release date, availability, context window, architecture, and published parameter counts at a glance. Undisclosed details remain marked as unavailable.
| Attribute | Muse Wonder Full | GLM-5.2 |
|---|---|---|
| Provider | Meta | Z.ai |
| Released | Oct 12, 2026 | Jun 16, 2026 |
| Availability | Subscription only | Open Source |
| Model type | Proprietary | Open Weights |
| Parameters | Not published | 744B, 40B active |
| Architecture | Not published | Mixture of Experts |
| Context window | 1M tokens | 1,000,000 tokens |
| Knowledge cutoff | Not published | Not published |
| Technical sources | Model, Context | Model, Context |
Pricing
The table compares official standard API rates per 1M tokens, including published cache pricing. Batch, fast, priority, regional surcharges, tool calls, and cloud platform pricing are excluded.
| Price type | Muse Wonder Full | GLM-5.2 |
|---|---|---|
| API input | — | $1.4 |
| API output | — | $4.4 |
| Cache read | Not listed | $0.26 |
| Cache write (5 min.) | Not listed | Not listed |
| Cache write (1 hr.) | Not listed | Not listed |
| Price verified | 10/15/2026 | 09/22/2026 Source |
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 Full is available in the stored OpenRouter snapshot. The official direct price is still shown.
| Model | Provider | Purchase route and tariff | Input per 1M tokens | Output per 1M tokens | Source |
|---|---|---|---|---|---|
| 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
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.
Each axis averages directly matched benchmark families. A value of 100 means the stronger value within this pair, not a universal quality score.
9 matched rows from 9 benchmark families were considered. The radar shows 5 of 5 comparable categories.
Key to the marks:better valuebetter, but not conclusivetie
| Benchmark and task | Muse Wonder Full | GLM-5.2 | Source |
|---|---|---|---|
AA-BriefcaseOverallTest detailsNo documented difference in the test setupVersion: v1.1Metric: AA-Briefcase EloScoring: Higher is betterMuse Wonder Full: Snapshot: Muse Wonder Full (Max), Reasoning: Max GLM-5.2: Snapshot: GLM-5.2 (Max), Reasoning: MaxMuse Wonder Full: Exact AA configuration: Muse Wonder Full (Max) (release muse-wonder-full, row muse-wonder-full, UUID e994a6e0-d36b-4dab-8ae1-c1b469e4d9e2, 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. | Winner1,729.32 elo | 1,228.86 elo | Artificial AnalysisSource detailsData as of: 10/15/2026 |
AA-LCROverallTest detailsNo documented difference in the test setupVersion: v1.1Metric: Pass rateScoring: Higher is betterMuse Wonder Full: Snapshot: Muse Wonder Full (Max), Reasoning: Max GLM-5.2: Snapshot: GLM-5.2 (Max), Reasoning: MaxMuse Wonder Full: Exact AA configuration: Muse Wonder Full (Max) (release muse-wonder-full, row muse-wonder-full, UUID e994a6e0-d36b-4dab-8ae1-c1b469e4d9e2, 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. | Winner83.7% | 78.3% | Artificial AnalysisSource detailsData as of: 10/15/2026 |
AA-OmniscienceOverallTest detailsNo documented difference in the test setupVersion: unspecifiedMetric: AA-Omniscience IndexScoring: Higher is betterMuse Wonder Full: Snapshot: Muse Wonder Full (Max), Reasoning: Max GLM-5.2: Snapshot: GLM-5.2 (Max), Reasoning: MaxMuse Wonder Full: Exact AA configuration: Muse Wonder Full (Max) (release muse-wonder-full, row muse-wonder-full, UUID e994a6e0-d36b-4dab-8ae1-c1b469e4d9e2, 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. | Winner30.15 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 AnalysisSource detailsData as of: 10/15/2026 |
Artificial Analysis Intelligence IndexOverallTest detailsNo documented difference in the test setupVersion: v4.3.2Metric: Artificial Analysis Intelligence IndexScoring: Higher is betterMuse Wonder Full: Snapshot: Muse Wonder Full (Max), Reasoning: Max GLM-5.2: Snapshot: GLM-5.2 (Max), Reasoning: MaxMuse Wonder Full: Exact AA configuration: Muse Wonder Full (Max) (release muse-wonder-full, row muse-wonder-full, UUID e994a6e0-d36b-4dab-8ae1-c1b469e4d9e2, 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. | Winner55.802 points | 33.705 points | Artificial AnalysisSource detailsData as of: 10/15/2026 |
AutomationBench-AAOverallTest detailsNo documented difference in the test setupVersion: unspecifiedMetric: Objectives completed without guardrail violationsScoring: Higher is betterMuse Wonder Full: Snapshot: Muse Wonder Full (Max), Reasoning: Max GLM-5.2: Snapshot: GLM-5.2 (Max), Reasoning: MaxMuse Wonder Full: Exact AA configuration: Muse Wonder Full (Max) (release muse-wonder-full, row muse-wonder-full, UUID e994a6e0-d36b-4dab-8ae1-c1b469e4d9e2, 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. | Winner71.3% | 28.4% | Artificial AnalysisSource detailsData as of: 10/15/2026 |
Code MigrationOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder Full: 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 value61.033 % | 37.87 % | Vals AISource detailsData as of: 10/12/2026 |
EMBOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens | Higher measured value71.917 % | 61.532 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens | Higher measured value59.061 % | 49.699 % | Vals AISource detailsData as of: 10/12/2026 |
GDP.pdfOverallTest detailsNo documented difference in the test setupVersion: unspecifiedMetric: All-pass rateScoring: Higher is betterMuse Wonder Full: Snapshot: Muse Wonder Full (Max), Reasoning: Max GLM-5.2: Snapshot: GLM-5.2 (Max), Reasoning: MaxMuse Wonder Full: Exact AA configuration: Muse Wonder Full (Max) (release muse-wonder-full, row muse-wonder-full, UUID e994a6e0-d36b-4dab-8ae1-c1b469e4d9e2, 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. | Winner32.6% | 10.4% | Artificial AnalysisSource detailsData as of: 10/15/2026 |
GDPval-AAOverallTest detailsNo documented difference in the test setupVersion: v2.1Metric: GDPval-AA EloScoring: Higher is betterMuse Wonder Full: Snapshot: Muse Wonder Full (Max), Reasoning: Max GLM-5.2: Snapshot: GLM-5.2 (Max), Reasoning: MaxMuse Wonder Full: Exact AA configuration: Muse Wonder Full (Max) (release muse-wonder-full, row muse-wonder-full, UUID e994a6e0-d36b-4dab-8ae1-c1b469e4d9e2, 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. | Winner1,857.09 elo | 1,372.01 elo | Artificial AnalysisSource detailsData as of: 10/15/2026 |
Harvey's Legal Agent BenchmarkOverall · Task fully resolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterMuse Wonder Full: 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 value21.667 % | 7.083 % | Vals AISource detailsData as of: 10/12/2026 |
Humanity's Last ExamOverallTest detailsNo documented difference in the test setupVersion: unspecifiedMetric: Text-only pass@1 accuracyScoring: Higher is betterMuse Wonder Full: Snapshot: Muse Wonder Full (Max), Reasoning: Max GLM-5.2: Snapshot: GLM-5.2 (Max), Reasoning: MaxMuse Wonder Full: Exact AA configuration: Muse Wonder Full (Max) (release muse-wonder-full, row muse-wonder-full, UUID e994a6e0-d36b-4dab-8ae1-c1b469e4d9e2, 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. | Winner53.6% 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 AnalysisSource detailsData as of: 10/15/2026 |
Legal Research BenchOverall · All-passTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterMuse Wonder Full: 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 value53.365 % | 31.25 % | Vals AISource detailsData as of: 10/12/2026 |
LegalBenchOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens | Higher measured value87.418 % | 84.073 % | Vals AISource detailsData as of: 10/13/2026 |
MedCodeOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Temperature: 1, Output limit: 30,000 tokens | Higher measured value49.932 % | 40.771 % | Vals AISource detailsData as of: 10/13/2026 |
MedScribeOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Temperature: 1, Output limit: 30,000 tokens | Higher measured value89.335 % | 83.534 % | Vals AISource detailsData as of: 10/13/2026 |
ProgramBenchOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: fully resolved rateScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Reasoning: max, Temperature: 1, Top P: 1, Output limit: 64,000 tokens | No direct winner0.5 % | No direct winner0.5 % | Vals AISource detailsData as of: 10/12/2026 |
SRE BenchOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: fully solved rateScoring: Higher is betterMuse Wonder Full: 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 value11.832 % | 0 % | Vals AISource detailsData as of: 10/14/2026 |
Terminal-BenchOverallTest detailsNo documented difference in the test setupVersion: 4.0Metric: Task successScoring: Higher is betterMuse Wonder Full: Snapshot: Muse Wonder Full (Max), Reasoning: Max GLM-5.2: Snapshot: GLM-5.2 (Max), Reasoning: MaxMuse Wonder Full: Exact AA configuration: Muse Wonder Full (Max) (release muse-wonder-full, row muse-wonder-full, UUID e994a6e0-d36b-4dab-8ae1-c1b469e4d9e2, 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. | Winner57.1% | 1.0% | Artificial AnalysisSource detailsData as of: 10/15/2026 |
Vibe Code Bench v1.1OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterMuse Wonder Full: 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 value85.996 % | 63.961 % | Vals AISource detailsData as of: 10/12/2026 |
Code MigrationCLITest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder Full: 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 value58.044 % | 27.16 % | Vals AISource detailsData as of: 10/12/2026 |
EMBCompsTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens | Higher measured value80.89 % | 54.922 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)AdjustmentsTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens | Higher measured value56.668 % | 46.305 % | Vals AISource detailsData as of: 10/12/2026 |
Harvey's Legal Agent BenchmarkAntitrust Competition · Criteria passedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterMuse Wonder Full: 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 value94.928 % | 87.319 % | Vals AISource detailsData as of: 10/12/2026 |
Legal Research BenchAdministrative / Regulatory · All-passTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterMuse Wonder Full: 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 AISource detailsData as of: 10/12/2026 |
LegalBenchConclusion TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens | Higher measured value90.323 % | 88.587 % | Vals AISource detailsData as of: 10/13/2026 |
ProgramBenchAlmost ResolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: almost-resolved rateScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Reasoning: max, Temperature: 1, Top P: 1, Output limit: 64,000 tokens | 8 % | Higher measured value9.5 % | Vals AISource detailsData as of: 10/12/2026 |
SRE BenchCapability ScoreTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: capability scoreScoring: Higher is betterMuse Wonder Full: 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 value17.748 % | 3.435 % | Vals AISource detailsData as of: 10/14/2026 |
Code MigrationCOBOLTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder Full: 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 AISource detailsData as of: 10/12/2026 |
EMBDataroomTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens | Higher measured value85.257 % | 83.444 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)All-PassTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens | Higher measured value49.037 % | 38.006 % | Vals AISource detailsData as of: 10/12/2026 |
Harvey's Legal Agent BenchmarkAntitrust Competition · Task fully resolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterMuse Wonder Full: 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 AISource detailsData as of: 10/12/2026 |
Legal Research BenchAdministrative / Regulatory · Weighted partial creditTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterMuse Wonder Full: 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 value92.809 % | 85.95 % | Vals AISource detailsData as of: 10/12/2026 |
LegalBenchInterpretation TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens | Higher measured value84.991 % | 82.17 % | Vals AISource detailsData as of: 10/13/2026 |
ProgramBenchFully ResolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: fully resolved rateScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Reasoning: max, Temperature: 1, Top P: 1, Output limit: 64,000 tokens | No direct winner0.5 % | No direct winner0.5 % | Vals AISource detailsData as of: 10/12/2026 |
SRE BenchFully SolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: fully solved rateScoring: Higher is betterMuse Wonder Full: 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 value11.832 % | 0 % | Vals AISource detailsData as of: 10/14/2026 |
Code MigrationCode QualityTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: mean reviewer code-quality ratingScoring: Higher is betterMuse Wonder Full: 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 value4.244 / 5 | 3.981 / 5 | Vals AISource detailsData as of: 10/12/2026 |
EMBDCFTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens | Higher measured value66.579 % | 52.968 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)ComparablesTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens | Higher measured value46.809 % | 44.78 % | Vals AISource detailsData as of: 10/12/2026 |
Harvey's Legal Agent BenchmarkArbitration International Dispute Resolution · Criteria passedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterMuse Wonder Full: 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 value95.699 % | 91.756 % | Vals AISource detailsData as of: 10/12/2026 |
Legal Research BenchBusiness & Commercial · All-passTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterMuse Wonder Full: 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 value58.14 % | 27.907 % | Vals AISource detailsData as of: 10/12/2026 |
LegalBenchIssue TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens | Higher measured value91.014 % | 89.506 % | Vals AISource detailsData as of: 10/13/2026 |
ProgramBenchRaw Pass RateTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: raw test pass rateScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens GLM-5.2: Reasoning: max, Temperature: 1, Top P: 1, Output limit: 64,000 tokens | 24.187 % | Higher measured value62.605 % | Vals AISource detailsData as of: 10/12/2026 |
EMBLBOTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens | Higher measured value59.586 % | 51.815 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)Disclosure AnalysisTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens | Higher measured value71.553 % | 61.588 % | Vals AISource detailsData as of: 10/12/2026 |
Harvey's Legal Agent BenchmarkArbitration International Dispute Resolution · Task fully resolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterMuse Wonder Full: 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 AISource detailsData as of: 10/12/2026 |
Legal Research BenchBusiness & Commercial · Weighted partial creditTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterMuse Wonder Full: 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 value89.811 % | 87.466 % | Vals AISource detailsData as of: 10/12/2026 |
LegalBenchRhetoric TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens | Higher measured value83.625 % | 81.263 % | Vals AISource detailsData as of: 10/13/2026 |
EMBM&ATest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens | Higher measured value78.304 % | 63.913 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)Earnings AnalysisTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens | Higher measured value78.596 % | 66.596 % | Vals AISource detailsData as of: 10/12/2026 |
Harvey's Legal Agent BenchmarkBanking Finance · Criteria passedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterMuse Wonder Full: 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 value92.565 % | 85.874 % | Vals AISource detailsData as of: 10/12/2026 |
Legal Research BenchCivil Litigation · All-passTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterMuse Wonder Full: 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 value44.444 % | 25.926 % | Vals AISource detailsData as of: 10/12/2026 |
LegalBenchRule TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens | Higher measured value87.136 % | 78.84 % | Vals AISource detailsData as of: 10/13/2026 |
EMBMiscTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens | Higher measured value64.242 % | 60.775 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)Financial ModelingTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens | Higher measured value23.736 % | 12.885 % | Vals AISource detailsData as of: 10/12/2026 |
Harvey's Legal Agent BenchmarkBanking Finance · Task fully resolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterMuse Wonder Full: 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 AISource detailsData as of: 10/12/2026 |
Legal Research BenchCivil Litigation · Weighted partial creditTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterMuse Wonder Full: 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 value92.925 % | 86.955 % | Vals AISource detailsData as of: 10/12/2026 |
EMBOperatingTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens | Higher measured value68.56 % | 62.888 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)General Qualitative AnalysisTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens | Higher measured value74.179 % | 68.73 % | Vals AISource detailsData as of: 10/12/2026 |
Harvey's Legal Agent BenchmarkBankruptcy Restructuring · Criteria passedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterMuse Wonder Full: 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 value91.003 % | 74.394 % | Vals AISource detailsData as of: 10/12/2026 |
Legal Research BenchConstitutional / Civil Rights · All-passTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterMuse Wonder Full: 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 value47.368 % | 28.947 % | Vals AISource detailsData as of: 10/12/2026 |
EMBScratchTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens | Higher measured value70.547 % | 66.693 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)General Quantitative AnalysisTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens | Higher measured value80.059 % | 65.524 % | Vals AISource detailsData as of: 10/12/2026 |
Harvey's Legal Agent BenchmarkBankruptcy Restructuring · Task fully resolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterMuse Wonder Full: 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 AISource detailsData as of: 10/12/2026 |
Key to the marks:better valuebetter, but not conclusivetie | |||
Our model tests
There is no shared test round for this selection. Results from different rounds are not mixed.
A community classic for free-form SVG drawing.
Muse Wonder Full
Not tested yet
GLM-5.2
Output withheld for safety
Reasoning (requested): high
Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.
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
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Compare Muse Wonder Full and GLM-5.2 with other leading models using the same data and benchmark logic.