Head-to-head comparison

Muse Wonder Full vs. Mistral Large 3

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

shared result series: 6
distinct benchmarks: 1
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 Full and Mistral Large 3
Attribute	Muse Wonder Full	Mistral Large 3
Provider	Meta	Mistral AI
Released	Oct 12, 2026	Dec 2, 2025
Availability	Subscription only	Active
Model type	Proprietary	Open Weights
Parameters	Not published	675B, 41B active
Architecture	Not published	Mixture of Experts
Context window	1M tokens	262,144 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 Full and Mistral Large 3
Price type	Muse Wonder Full	Mistral Large 3
API input	—	$0.5
API output	—	$1.5
Cache read	Not listed	Not listed
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

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 Full is available in the stored OpenRouter snapshot. The official direct price is still shown.

Provider pricing for Muse Wonder Full and Mistral Large 3
Model	Provider	Purchase route and tariff	Input per 1M tokens	Output per 1M tokens	Source
Mistral Large 3	Mistral AI	Direct from developerStandard API	Lowest listed price: $0.5	Lowest listed price: $1.5	Source09/22/2026
	Mistral	Via OpenRoutermistral/eu	$0.55	$1.65	Source10/16/2026
	Mistral	Via OpenRoutermistral/zdr	Lowest listed price: $0.5	Lowest listed price: $1.5	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 Wonder FullMistral Large 3

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

Muse Wonder Full87.418 %

Mistral Large 379.138 %

LegalBenchConclusion Tasks. Higher is better. Test setup not documented as identical

Muse Wonder Full90.323 %

Mistral Large 381.032 %

LegalBenchInterpretation Tasks. Higher is better. Test setup not documented as identical

Muse Wonder Full84.991 %

Mistral Large 376.594 %

LegalBenchIssue Tasks. Higher is better. Test setup not documented as identical

Muse Wonder Full91.014 %

Mistral Large 381.006 %

LegalBenchRhetoric Tasks. Higher is better. Test setup not documented as identical

Muse Wonder Full83.625 %

Mistral Large 377.926 %

LegalBenchRule Tasks. Higher is better. Test setup not documented as identical

Muse Wonder Full87.136 %

Mistral Large 379.13 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Muse Wonder Full and Mistral Large 3
Benchmark and task	Muse Wonder Full	Mistral Large 3	Source
LegalBenchOverall Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value87.418 %	79.138 %	Vals AI Source details Data as of: 10/13/2026
LegalBenchConclusion Tasks Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value90.323 %	81.032 %	Vals AI Source details Data as of: 10/13/2026
LegalBenchInterpretation Tasks Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value84.991 %	76.594 %	Vals AI Source details Data as of: 10/13/2026
LegalBenchIssue Tasks Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value91.014 %	81.006 %	Vals AI Source details Data as of: 10/13/2026
LegalBenchRhetoric Tasks Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value83.625 %	77.926 %	Vals AI Source details Data as of: 10/13/2026
LegalBenchRule Tasks Test details Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Wonder Full: Reasoning: max, Temperature: 1, Output limit: 131,072 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens	Higher measured value87.136 %	79.13 %	Vals AI Source details Data as of: 10/13/2026
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 Full

Not tested yet

Mistral Large 3

Reasoning (model default): no reasoning mode Source

Current attempt

Run date: Oct 1, 2026
API provider: openrouter
Requested API model: mistralai/mistral-large-2512
API model reported in response: mistralai/mistral-large-2512
Reasoning setting: not specified
Pinned endpoint: Mistral | mistralai/mistral-large-2512
Temperature: Provider default
Token limit including reasoning: 8,192 tokens
Test protocol: community-visual-tests-v1
Technical checks: Passed, not a quality rating
Response time: 14.2 s

Visually reviewed. This individual test does not establish overall model quality.

Earlier attempts (1)

Sep 7, 2026API request failedReasoning setting: not specified

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 Full and Mistral Large 3 with other leading models using the same data and benchmark logic.

View the complete LLM comparison