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Muse Wonder vs Mistral Large 3 2512

Mistral Large 3 2512 costs 13.3x less per output token than Muse Wonder ($1.50 vs $20.00 per million). Updated October 22, 2026; 8 benchmarks have a result for both.

Muse WonderMeta
Coding
71.9
Overall
No data
Output $/M
$20.00
8
Mistral Large 3 2512Mistral AI
Coding
No data
Overall
No data
Output $/M
$1.50
0
vs boards won of 8 shared

Muse Wonder or Mistral Large 3 2512: which to pick

Only Muse Wonder has a coding score, 71.9 on the Vibe Coding Index; Mistral Large 3 2512 has none, so the two cannot be ranked on coding.

Pick Mistral Large 3 2512 for output tokens 13.3x cheaper ($1.50 vs $20.00 per million).

Shared results
8
Muse Wonder only
52
Mistral Large 3 2512 only
20
Like-for-like categories
2 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Muse Wonder 71.9 from 3 benchmarks, Mistral Large 3 2512 not benchmarked.
Widest category
General, 35.1 points apart on average over 2 shared benchmarks.
Widest single gap
Design Arena: 3D: Muse Wonder 1427 against Mistral Large 3 2512 1099, 41.0 points apart on a 0 to 100 scale.
Output price
Muse Wonder $20.00 against Mistral Large 3 2512 $1.50 per million output tokens, 13.3x apart.
Context window
Muse Wonder takes 1.05M tokens, Mistral Large 3 2512 262K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryMuse WonderBarsMistral Large 3 2512Ties
Web design60
General20
All shared boards80
CodingDirectional onlySix of these boards feed the Vibe Coding Index17 boards, none shared
Coding benchmarks for Muse Wonder and Mistral Large 3 2512
BenchmarkMuse WonderMistral Large 3 2512Leader
LMArena WebDev1652Not measuredOnly Muse Wonder measured
AA Coding IndexNot measured20.1Only Mistral Large 3 2512 measured
LiveCodeBench (Vals AI)Not measured55.3%Only Mistral Large 3 2512 measured
SWE-bench Verified (Vals AI)Not measured41.4%Only Mistral Large 3 2512 measured
Terminal-Bench 4 (Vals AI)49.5%Not measuredOnly Muse Wonder measured
Vibe Code Bench (Vals AI)83.1%Not measuredOnly Muse Wonder measured
Code migration (Vals AI)62.5%Not measuredOnly Muse Wonder measured
IOI (Vals AI)66.9%Not measuredOnly Muse Wonder measured
SWE-bench Multimodal (Vals AI)45.6%Not measuredOnly Muse Wonder measured
Vibe Code Bench 1-100 (Vals AI)26.6%Not measuredOnly Muse Wonder measured
CyberBench (Vals AI)80.4%Not measuredOnly Muse Wonder measured
SciCode60.3%Not measuredOnly Muse Wonder measured
ALE-BenchNot measured264.7Only Mistral Large 3 2512 measured
LMArena Text: coding1522Not measuredOnly Muse Wonder measured
LMArena Text: software and IT1515Not measuredOnly Muse Wonder measured
LMArena WebDev: React1641Not measuredOnly Muse Wonder measured
LMArena WebDev: HTML1694Not measuredOnly Muse Wonder measured
Neither model has a result on the other 22 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Muse Wonder and Mistral Large 3 2512
BenchmarkMuse WonderMistral Large 3 2512Leader
AA Intelligence IndexNot measured9.3Only Mistral Large 3 2512 measured
Epoch Capabilities Index161.8Not measuredOnly Muse Wonder measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Agentic work benchmarks for Muse Wonder and Mistral Large 3 2512
BenchmarkMuse WonderMistral Large 3 2512Leader
AA Agentic IndexNot measured1.0Only Mistral Large 3 2512 measured
Design Arena: spreadsheets1243Not measuredOnly Muse Wonder measured
Finance Agent (Vals AI)56.6%Not measuredOnly Muse Wonder measured
Tax Agent Bench (Vals AI)36.3%Not measuredOnly Muse Wonder measured
Legal Research Bench (Vals AI)50.5%Not measuredOnly Muse Wonder measured
Harvey's Legal Agent Benchmark (Vals AI)23.8%Not measuredOnly Muse Wonder measured
Excel Modeling Benchmark (Vals AI)67.1%Not measuredOnly Muse Wonder measured
BioMysteryBench (Vals AI)67.0%Not measuredOnly Muse Wonder measured
Terminal-Bench-Science (Vals AI)22.9%Not measuredOnly Muse Wonder measured
Vals Science Index39.1%Not measuredOnly Muse Wonder measured
CUA-bench (Vals AI)7.2%Not measuredOnly Muse Wonder measured
Vending-Bench 2$9,432Not measuredOnly Muse Wonder measured
Neither model has a result on the other 29 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Reasoning benchmarks for Muse Wonder and Mistral Large 3 2512
BenchmarkMuse WonderMistral Large 3 2512Leader
GPQA DiamondNot measured68.4%Only Mistral Large 3 2512 measured
MysteryMechanism (Vals AI)27.5%Not measuredOnly Muse Wonder measured
MMMU Pro (Vals AI)Not measured66.2%Only Mistral Large 3 2512 measured
Humanity's Last Exam (Artificial Analysis run)50.1%Not measuredOnly Muse Wonder measured
LMArena Text: hard prompts1506Not measuredOnly Muse Wonder measured
LMArena Text: expert1513Not measuredOnly Muse Wonder measured
LMArena Text: hard prompts in English1506Not measuredOnly Muse Wonder measured
Neither model has a result on the other 15 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Math benchmarks for Muse Wonder and Mistral Large 3 2512
BenchmarkMuse WonderMistral Large 3 2512Leader
AIMENot measured42.9%Only Mistral Large 3 2512 measured
MGSM (Vals AI)Not measured85.4%Only Mistral Large 3 2512 measured
ProofBench84.0%Not measuredOnly Muse Wonder measured
LMArena Text: math1486Not measuredOnly Muse Wonder measured
LMArena Text: mathematical work1514Not measuredOnly Muse Wonder measured
Neither model has a result on the other 8 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Knowledge benchmarks for Muse Wonder and Mistral Large 3 2512
BenchmarkMuse WonderMistral Large 3 2512Leader
MMLU ProNot measured79.8%Only Mistral Large 3 2512 measured
LegalBench (Vals AI)Not measured79.1%Only Mistral Large 3 2512 measured
CaseLaw (Vals AI)Not measured61.4%Only Mistral Large 3 2512 measured
CorpFin (Vals AI)Not measured61.0%Only Mistral Large 3 2512 measured
TaxEval (Vals AI)Not measured73.1%Only Mistral Large 3 2512 measured
MortgageTax (Vals AI)Not measured52.1%Only Mistral Large 3 2512 measured
MedQA (Vals AI)Not measured82.2%Only Mistral Large 3 2512 measured
LMArena Text: science1506Not measuredOnly Muse Wonder measured
LMArena Text: medicine and healthcare1512Not measuredOnly Muse Wonder measured
LMArena Text: legal and government1505Not measuredOnly Muse Wonder measured
LMArena Text: business and finance1483Not measuredOnly Muse Wonder measured
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Muse Wonder and Mistral Large 3 2512
BenchmarkMuse WonderMistral Large 3 2512Leader
Design Arena: websites13621162Muse Wonder
Design Arena: UI components13791099Muse Wonder
Design Arena: game dev13761080Muse Wonder
Design Arena: data viz13171136Muse Wonder
Design Arena: 3D14271099Muse Wonder
Design Arena: all code categories13711141Muse Wonder
Design Arena: SVGNot measured992Only Mistral Large 3 2512 measured
Design Arena: ASCII artNot measured1069Only Mistral Large 3 2512 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
General benchmarks for Muse Wonder and Mistral Large 3 2512
BenchmarkMuse WonderMistral Large 3 2512Leader
Vals Index64.9%Not measuredOnly Muse Wonder measured
Public Benefits Bench (Vals AI)70.2%Not measuredOnly Muse Wonder measured
SAGE (Vals AI)Not measured24.6%Only Mistral Large 3 2512 measured
Long context reasoning (AA-LCR)80.7%Not measuredOnly Muse Wonder measured
DTBench95.2%65.1%Muse Wonder
LMCA56.8%16.7%Muse Wonder
LMArena Text1502Not measuredOnly Muse Wonder measured
LMArena Text: instruction following1491Not measuredOnly Muse Wonder measured
LMArena Text: creative writing1491Not measuredOnly Muse Wonder measured
LMArena Text: English1507Not measuredOnly Muse Wonder measured
LMArena Text: non-English1492Not measuredOnly Muse Wonder measured
LMArena Text: Chinese1537Not measuredOnly Muse Wonder measured
LMArena Text: French1523Not measuredOnly Muse Wonder measured
LMArena Text: Russian1522Not measuredOnly Muse Wonder measured
LMArena Text: multi-turn1510Not measuredOnly Muse Wonder measured
LMArena Text: longer queries1493Not measuredOnly Muse Wonder measured
LMArena Text: writing and language1496Not measuredOnly Muse Wonder measured
LMArena Text: entertainment and media1482Not measuredOnly Muse Wonder measured
Neither model has a result on the other 28 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Muse Wonder and Mistral Large 3 2512
BenchmarkMuse WonderMistral Large 3 2512Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Muse Wonder$0.014Fits in one request
Mistral Large 3 2512$0.0013Fits in one request

Mistral Large 3 2512 costs less

Repository review

50K input + 3K output tokens

Muse Wonder$0.260Fits in one request
Mistral Large 3 2512$0.029Fits in one request

Mistral Large 3 2512 costs less

Agent loop

200K input + 10K output tokens

Muse Wonder$1.00Fits in one request
Mistral Large 3 2512$0.115Fits in one request

Mistral Large 3 2512 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Muse Wonder and Mistral Large 3 2512
SpecificationMeta Muse WonderMistral Large 3 2512
MakerMetaMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedOctober 12, 2026December 1, 2025
Context window1.05M262K
Input $/Mtok$4.00$0.50
Output $/Mtok$20.00$1.50
Coding index71.9Not benchmarked
Independent measurements behind it31
Cost per solved taskNot computable$0.77
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Wonder better than Mistral Large 3 2512 for coding?

Only Muse Wonder has a coding score, 71.9 on the Vibe Coding Index; Mistral Large 3 2512 has none, so the two cannot be ranked on coding. Pick Mistral Large 3 2512 for output tokens 13.3x cheaper ($1.50 vs $20.00 per million).

Which is cheaper, Muse Wonder or Mistral Large 3 2512?

Muse Wonder costs $4.00 per million input tokens and $20.00 per million output tokens; Mistral Large 3 2512 costs $0.50 and $1.50. Cost per solved task is known for Mistral Large 3 2512 only.

Which has the bigger context window, Muse Wonder or Mistral Large 3 2512?

Muse Wonder, with 1.05M tokens against 262K.

How many benchmarks is the Muse Wonder vs Mistral Large 3 2512 comparison based on?

8 benchmarks have a result for both models as of October 22, 2026. Muse Wonder's coding index rests on 3 independent benchmarks and Mistral Large 3 2512's on 1. Where only one model has a result, the page says so instead of naming a winner.

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