Head-to-head comparison

Muse Wonder vs. Qwen 3.8 Max 0902

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

shared result series: 158
distinct benchmarks: 18
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 Qwen 3.8 Max 0902
Attribute	Muse Wonder	Qwen 3.8 Max 0902
Provider	Meta	Alibaba
Released	Oct 12, 2026	Sep 2, 2026
Availability	Preview	API-only
Model type	Proprietary	Proprietary
Parameters	Not published	2.4T
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

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 Qwen 3.8 Max 0902
Price type	Muse Wonder	Qwen 3.8 Max 0902
API input	$4	$1.65
API output	$20	$4.951
Cache read	$0.2	$0.137
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 WonderQwen 3.8 Max 0902

API inputUSD per 1M tokens, base tier

Muse Wonder$4

Qwen 3.8 Max 0902$1.65

API outputUSD per 1M tokens, base tier

Muse Wonder$20

Qwen 3.8 Max 0902$4.951

Cache readUSD per 1M tokens, base tier

Muse Wonder$0.2

Qwen 3.8 Max 0902$0.137

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 Qwen 3.8 Max 0902
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
Qwen 3.8 Max 0902	Alibaba	Direct from developerStandard API	Lowest listed price: $1.65	Lowest listed price: $4.951	Source09/22/2026
	Alibaba	Via OpenRouteralibaba	$2	$6	Source10/16/2026
	Alibaba	Via OpenRouteralibaba/us-east-1	$2	$6	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.

Not enough directly matched categories for a reliable radar

Only 0 of at least 5 categories have comparable, direct model measurements. The benchmark tables below show the available evidence without filling missing axes.

Muse WonderQwen 3.8 Max 0902

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

Muse Wonder62.552 %

Qwen 3.8 Max 090223.958 %

CyberBench v1.1Overall. Higher is better. Test setup not documented as identical

Muse Wonder80.357 %

Qwen 3.8 Max 090228.572 %

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

Muse Wonder67.084 %

Qwen 3.8 Max 090260.066 %

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

Muse Wonder56.637 %

Qwen 3.8 Max 090250.593 %

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

Muse Wonder17.083 %

Qwen 3.8 Max 090210.417 %

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

Muse Wonder66.944 %

Qwen 3.8 Max 090268.889 %

Legal Research BenchOverall · All-pass. Higher is better. Test setup not documented as identical

Muse Wonder50.481 %

Qwen 3.8 Max 090247.596 %

LMArena Code Arena WebDevOverall. Higher is better. Test setup not documented as identical

Muse Wonder1,650.947

Qwen 3.8 Max 09021,673.151

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

Muse Wonder27.477 %

Qwen 3.8 Max 090223.874 %

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

Muse Wonder84 %

Qwen 3.8 Max 090258 %

Public Benefits Bench v1.1Overall. Higher is better. Test setup not documented as identical

Muse Wonder70.23 %

Qwen 3.8 Max 090267.118 %

SWE-bench MultimodalOverall. Higher is better. Test setup not documented as identical

Muse Wonder45.417 %

Qwen 3.8 Max 090239.167 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Muse Wonder and Qwen 3.8 Max 0902
Benchmark and task	Muse Wonder	Qwen 3.8 Max 0902	Source
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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value62.552 %	23.958 %	Vals AI Source details Data as of: 10/12/2026
CyberBench v1.1Overall Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value80.357 %	28.572 %	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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value67.084 %	60.066 %	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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value56.637 %	50.593 %	Vals AI Source details Data as of: 10/12/2026
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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value17.083 %	10.417 %	Vals AI Source details Data as of: 10/12/2026
IOIOverall 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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	66.944 %	Higher measured value68.889 %	Vals AI Source details Data as of: 10/14/2026
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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value50.481 %	47.596 %	Vals AI Source details Data as of: 10/12/2026
LMArena Code Arena WebDevOverall Test details Test setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterMuse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Code Arena WebDev Qwen 3.8 Max 0902: Snapshot: qwen3.8-max-0902, Harness: Arena Code Arena WebDevMuse Wonder: Arena rating from 1,228 published pairwise votes.Qwen 3.8 Max 0902: Arena rating from 13,081 published pairwise votes.	1,650.947 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.	Higher measured value1,673.151 95% confidence interval: ±7.241The 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
MysteryMechanismOverall 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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value27.477 %	23.874 %	Vals AI Source details Data as of: 10/12/2026
ProofBenchOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value84 %	58 %	Vals AI Source details Data as of: 10/12/2026
Public Benefits Bench v1.1Overall Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value70.23 %	67.118 %	Vals AI Source details Data as of: 10/12/2026
SWE-bench MultimodalOverall 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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value45.417 %	39.167 %	Vals AI Source details Data as of: 10/13/2026
Tax Agent BenchOverall 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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value36.269 %	32.095 %	Vals AI Source details Data as of: 10/12/2026
Terminal-Bench 4.0Overall Test details Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value49.495 %	34.343 %	Vals AI Source details Data as of: 10/13/2026
Terminal-Bench ScienceOverall Test details Test setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 131,072 tokens Qwen 3.8 Max 0902: Harness: Mini-SWE-agent, Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value22.857 %	12.857 %	Vals AI Source details Data as of: 10/14/2026
Vals IndexOverall Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: weighted index scoreScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value61.062 %	48.27 %	Vals AI Source details Data as of: 10/13/2026
Vibe Code Bench 1-100Overall Test details Test setup not documented as identicalNo direct winnerVersion: 1.0Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Harness: OpenHands, Temperature: 1, Output limit: 131,072 tokens Qwen 3.8 Max 0902: Harness: OpenHands, Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value26.55 %	12.833 %	Vals AI Source details Data as of: 10/14/2026
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 Qwen 3.8 Max 0902: Harness: OpenHands, Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value83.089 %	64.696 %	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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value60.07 %	11.944 %	Vals AI Source details Data as of: 10/12/2026
CyberBench v1.1Patch Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value85.714 %	57.143 %	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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value79.488 %	54.32 %	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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value52.67 %	48.426 %	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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value93.841 %	90.942 %	Vals AI Source details Data as of: 10/12/2026
IOIIOI 2024 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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	66.833 %	Higher measured value78.167 %	Vals AI Source details Data as of: 10/14/2026
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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value63.636 %	59.091 %	Vals AI Source details Data as of: 10/12/2026
LMArena Code Arena WebDevWebdev Test details Test setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterMuse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Code Arena WebDev Qwen 3.8 Max 0902: Snapshot: qwen3.8-max-0902, Harness: Arena Code Arena WebDevMuse Wonder: Arena rating from 1,228 published pairwise votes.Qwen 3.8 Max 0902: Arena rating from 13,081 published pairwise votes.	1,650.947 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.	Higher measured value1,673.151 95% confidence interval: ±7.241The 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
SWE-bench Multimodalbpmn-js 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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value67.925 %	62.264 %	Vals AI Source details Data as of: 10/13/2026
Tax Agent BenchControversy & Precedence Analysis 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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	No direct winner20 %	No direct winner20 %	Vals AI Source details Data as of: 10/12/2026
Terminal-Bench 4.0Hardware Test details Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value46.667 %	0 %	Vals AI Source details Data as of: 10/13/2026
Terminal-Bench ScienceEarth Sciences Test details Test setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 131,072 tokens Qwen 3.8 Max 0902: Harness: Mini-SWE-agent, Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value50 %	12.5 %	Vals AI Source details Data as of: 10/14/2026
Vals IndexCode Migration Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: benchmark scoreScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value62.009 %	23.163 %	Vals AI 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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value70 %	60 %	Vals AI Source details Data as of: 10/12/2026
CyberBench v1.1PoC Test details Test setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value75 %	0 %	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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	79.232 %	Higher measured value83.536 %	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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value45.936 %	38.229 %	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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	No direct winner20 %	No direct winner20 %	Vals AI Source details Data as of: 10/12/2026
IOIIOI 2025 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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value75.5 %	68.333 %	Vals AI Source details Data as of: 10/14/2026
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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value90.571 %	90.519 %	Vals AI Source details Data as of: 10/12/2026
LMArena Code Arena WebDevWebdev-html Test details Test setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterMuse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Code Arena WebDev Qwen 3.8 Max 0902: Snapshot: qwen3.8-max-0902, Harness: Arena Code Arena WebDevMuse Wonder: Arena rating from 158 published pairwise votes.Qwen 3.8 Max 0902: Arena rating from 2,257 published pairwise votes.	Higher measured value1,721.908 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.	1,651.307 95% confidence interval: ±14.717The 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
SWE-bench MultimodalCarbon 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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value27.068 %	24.812 %	Vals AI Source details Data as of: 10/13/2026
Tax Agent BenchControversy & Precedence Analysis 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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value71.362 %	62.591 %	Vals AI Source details Data as of: 10/12/2026
Terminal-Bench 4.0Media Test details Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	33.333 %	Higher measured value50 %	Vals AI Source details Data as of: 10/13/2026
Terminal-Bench ScienceEngineering Sciences Test details Test setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 131,072 tokens Qwen 3.8 Max 0902: Harness: Mini-SWE-agent, Temperature: 0.7, Output limit: 128,000 tokens	No direct winner0 %	No direct winner0 %	Vals AI Source details Data as of: 10/14/2026
Vals IndexEMB Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: benchmark scoreScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value67.084 %	60.066 %	Vals AI 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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	4.061 / 5	Higher measured value4.255 / 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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value51.035 %	49.134 %	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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value47.933 %	44.251 %	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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value92.473 %	89.964 %	Vals AI Source details Data as of: 10/12/2026
IOIIOI 2026 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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	58.5 %	Higher measured value60.167 %	Vals AI Source details Data as of: 10/14/2026
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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value48.837 %	46.512 %	Vals AI Source details Data as of: 10/12/2026
LMArena Code Arena WebDevWebdev-react Test details Test setup not documented as identicalNo direct winnerVersion: webdevMetric: WebDev Arena Bradley-Terry ratingScoring: Higher is betterMuse Wonder: Snapshot: muse-wonder-max, Reasoning: max, Harness: Arena Code Arena WebDev Qwen 3.8 Max 0902: Snapshot: qwen3.8-max-0902, Harness: Arena Code Arena WebDevMuse Wonder: Arena rating from 787 published pairwise votes.Qwen 3.8 Max 0902: Arena rating from 8,225 published pairwise votes.	1,637.813 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.	Higher measured value1,690.042 95% confidence interval: ±8.581The 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
SWE-bench MultimodalESLint 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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	54.545 %	Higher measured value72.727 %	Vals AI Source details Data as of: 10/13/2026
Tax Agent BenchCurrent & Temporal Analysis 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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value50 %	49.889 %	Vals AI Source details Data as of: 10/12/2026
Terminal-Bench 4.0ML Test details Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	45.455 %	Higher measured value48.485 %	Vals AI Source details Data as of: 10/13/2026
Terminal-Bench ScienceLife Sciences Test details Test setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 131,072 tokens Qwen 3.8 Max 0902: Harness: Mini-SWE-agent, Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value21.053 %	10.526 %	Vals AI Source details Data as of: 10/14/2026
Vals IndexFinance Agent v2 Test details Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: benchmark scoreScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value56.637 %	50.593 %	Vals AI 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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value60.69 %	46.945 %	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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value67.252 %	60.549 %	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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value86.88 %	86.655 %	Vals AI Source details Data as of: 10/12/2026
SWE-bench MultimodalFusion Next 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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	No direct winner38.889 %	No direct winner38.889 %	Vals AI Source details Data as of: 10/13/2026
Tax Agent BenchCurrent & Temporal Analysis 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 Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value77.655 %	71.449 %	Vals AI Source details Data as of: 10/12/2026
Terminal-Bench 4.0Operations Test details Test setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens Qwen 3.8 Max 0902: Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value40.741 %	14.815 %	Vals AI Source details Data as of: 10/13/2026
Terminal-Bench ScienceMathematical Sciences Test details Test setup not documented as identicalNo direct winnerVersion: 0.1Metric: accuracyScoring: Higher is betterMuse Wonder: Reasoning: max, Harness: Mini-SWE-agent, Temperature: 1, Output limit: 131,072 tokens Qwen 3.8 Max 0902: Harness: Mini-SWE-agent, Temperature: 0.7, Output limit: 128,000 tokens	Higher measured value23.529 %	11.765 %	Vals AI Source details Data as of: 10/14/2026
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

Qwen 3.8 Max 0902

The response reached the token limit. No complete recording is available.

Reasoning (requested): high

Current attempt

Run date: Oct 5, 2026
API provider: openrouter
Requested API model: qwen/qwen3.8-max-0902
API model reported in response: qwen/qwen3.8-max-0902
Reasoning setting: high
Pinned endpoint: Alibaba | qwen/qwen3.8-max-20260902
Temperature: Provider default
Token limit including reasoning: 8,192 tokens
Test protocol: community-visual-tests-v1
Technical checks: Failed
Response time: 189.9 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.

More matchups

Compare Muse Wonder and Qwen 3.8 Max 0902 with other leading models using the same data and benchmark logic.

View the complete LLM comparison