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Muse Wonder vs Mistral Medium 3.1

Mistral Medium 3.1 costs 10.0x less per output token than Muse Wonder ($2.00 vs $20.00 per million). Updated October 21, 2026; 34 benchmarks have a result for both.

Muse WonderMeta
Coding
71.9
Overall
No data
Output $/M
$20.00
34
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
0
vs boards won of 34 shared

Muse Wonder or Mistral Medium 3.1: which to pick

Only Muse Wonder has a coding score, 71.9 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding.

Pick Mistral Medium 3.1 for output tokens 10.0x cheaper ($2.00 vs $20.00 per million).

Shared results
34
Muse Wonder only
26
Mistral Medium 3.1 only
40
Like-for-like categories
6 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 Medium 3.1 not benchmarked.
Widest category
Web design, 32.9 points apart on average over 6 shared benchmarks.
Widest single gap
Humanity's Last Exam (Artificial Analysis run): Muse Wonder 50.1% against Mistral Medium 3.1 4.7%, 45.4 points apart on a 0 to 100 scale.
Output price
Muse Wonder $20.00 against Mistral Medium 3.1 $2.00 per million output tokens, 10.0x apart.
Context window
Muse Wonder takes 1.05M tokens, Mistral Medium 3.1 131K.

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 Medium 3.1Ties
Coding30
Reasoning40
Math20
Knowledge40
Web design60
General150
All shared boards340
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Muse Wonder and Mistral Medium 3.1
BenchmarkMuse WonderMistral Medium 3.1Leader
LMArena WebDev1652Not measuredOnly Muse Wonder measured
AA Coding IndexNot measured20.5Only Mistral Medium 3.1 measured
LiveCodeBench (Vals AI)Not measured44.8%Only Mistral Medium 3.1 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
LiveCodeBench (Artificial Analysis run)Not measured40.6%Only Mistral Medium 3.1 measured
SciCode60.3%32.4%Muse Wonder
Terminal-Bench Hard (Artificial Analysis run)Not measured10.6%Only Mistral Medium 3.1 measured
ALE-BenchNot measured210.2Only Mistral Medium 3.1 measured
LMArena Text: coding15221433Muse Wonder
LMArena Text: software and IT15151436Muse Wonder
LMArena WebDev: React1641Not measuredOnly Muse Wonder measured
LMArena WebDev: HTML1694Not measuredOnly Muse Wonder measured
Neither model has a result on the other 21 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Muse Wonder and Mistral Medium 3.1
BenchmarkMuse WonderMistral Medium 3.1Leader
AA Intelligence IndexNot measured9.2Only Mistral Medium 3.1 measured
Epoch Capabilities Index161.8Not measuredOnly Muse Wonder measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
Agentic work benchmarks for Muse Wonder and Mistral Medium 3.1
BenchmarkMuse WonderMistral Medium 3.1Leader
AA Agentic IndexNot measured1.9Only Mistral Medium 3.1 measured
Design Arena: spreadsheets1227Not 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
τ²-Bench TelecomNot measured40.6%Only Mistral Medium 3.1 measured
Vending-Bench 2$9,432Not measuredOnly Muse Wonder measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for Muse Wonder and Mistral Medium 3.1
BenchmarkMuse WonderMistral Medium 3.1Leader
MysteryMechanism (Vals AI)27.5%Not measuredOnly Muse Wonder measured
MMMU Pro (Vals AI)Not measured63.0%Only Mistral Medium 3.1 measured
GPQA Diamond (Artificial Analysis run)Not measured58.8%Only Mistral Medium 3.1 measured
Humanity's Last Exam (Artificial Analysis run)50.1%4.7%Muse Wonder
LMArena Text: hard prompts15061426Muse Wonder
LMArena Text: expert15131408Muse Wonder
LMArena Text: hard prompts in English15061435Muse Wonder
LMArena Vision: diagramsNot measured1175Only Mistral Medium 3.1 measured
LMArena Vision: homeworkNot measured1165Only Mistral Medium 3.1 measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Muse Wonder and Mistral Medium 3.1
BenchmarkMuse WonderMistral Medium 3.1Leader
AIMENot measured42.3%Only Mistral Medium 3.1 measured
MATH 500 (Vals AI)Not measured87.0%Only Mistral Medium 3.1 measured
MGSM (Vals AI)Not measured90.9%Only Mistral Medium 3.1 measured
AA Math IndexNot measured38.3Only Mistral Medium 3.1 measured
AIME 2025 (Artificial Analysis run)Not measured38.3%Only Mistral Medium 3.1 measured
ProofBench84.0%Not measuredOnly Muse Wonder measured
LMArena Text: math14861408Muse Wonder
LMArena Text: mathematical work15141412Muse Wonder
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Muse Wonder and Mistral Medium 3.1
BenchmarkMuse WonderMistral Medium 3.1Leader
MMLU ProNot measured75.3%Only Mistral Medium 3.1 measured
LegalBench (Vals AI)Not measured62.0%Only Mistral Medium 3.1 measured
CorpFin (Vals AI)Not measured50.7%Only Mistral Medium 3.1 measured
TaxEval (Vals AI)Not measured70.3%Only Mistral Medium 3.1 measured
MortgageTax (Vals AI)Not measured36.5%Only Mistral Medium 3.1 measured
MedQA (Vals AI)Not measured78.2%Only Mistral Medium 3.1 measured
MMLU Pro (Artificial Analysis run)Not measured68.3%Only Mistral Medium 3.1 measured
LMArena Text: science15061444Muse Wonder
LMArena Text: medicine and healthcare15121449Muse Wonder
LMArena Text: legal and government15051439Muse Wonder
LMArena Text: business and finance14831418Muse Wonder
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 Medium 3.1
BenchmarkMuse WonderMistral Medium 3.1Leader
Design Arena: websites13621133Muse Wonder
Design Arena: UI components13741100Muse Wonder
Design Arena: game dev13771074Muse Wonder
Design Arena: data viz13211144Muse Wonder
Design Arena: 3D14261081Muse Wonder
Design Arena: all code categories13711120Muse Wonder
Design Arena: SVGNot measured993Only Mistral Medium 3.1 measured
Design Arena: ASCII artNot measured997Only Mistral Medium 3.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index150
General benchmarks for Muse Wonder and Mistral Medium 3.1
BenchmarkMuse WonderMistral Medium 3.1Leader
Vals Index64.9%Not measuredOnly Muse Wonder measured
Public Benefits Bench (Vals AI)70.2%Not measuredOnly Muse Wonder measured
IFBenchNot measured39.8%Only Mistral Medium 3.1 measured
Long context reasoning (AA-LCR)80.7%42.7%Muse Wonder
DTBench95.2%67.5%Muse Wonder
LMCA56.8%19.1%Muse Wonder
LMArena Text15021424Muse Wonder
LMArena Text: instruction following14911398Muse Wonder
LMArena Text: creative writing14911391Muse Wonder
LMArena VisionNot measured1172Only Mistral Medium 3.1 measured
LMArena Text: English15071438Muse Wonder
LMArena Text: non-English14921408Muse Wonder
LMArena Text: Chinese15371447Muse Wonder
LMArena Text: GermanNot measured1432Only Mistral Medium 3.1 measured
LMArena Text: JapaneseNot measured1379Only Mistral Medium 3.1 measured
LMArena Text: KoreanNot measured1380Only Mistral Medium 3.1 measured
LMArena Text: French15231460Muse Wonder
LMArena Text: SpanishNot measured1433Only Mistral Medium 3.1 measured
LMArena Text: Russian15221411Muse Wonder
LMArena Text: PolishNot measured1430Only Mistral Medium 3.1 measured
LMArena Text: multi-turn15101418Muse Wonder
LMArena Text: longer queries14931406Muse Wonder
LMArena Text: writing and language14961395Muse Wonder
LMArena Text: entertainment and media14821390Muse Wonder
LMArena Vision: EnglishNot measured1179Only Mistral Medium 3.1 measured
LMArena Vision: ChineseNot measured1190Only Mistral Medium 3.1 measured
LMArena Vision: reading textNot measured1175Only Mistral Medium 3.1 measured
LMArena Vision: humorNot measured1168Only Mistral Medium 3.1 measured
LMArena Vision: captioningNot measured1145Only Mistral Medium 3.1 measured
LMArena Vision: recognizing thingsNot measured1147Only Mistral Medium 3.1 measured
LMArena Vision: creative writingNot measured1200Only Mistral Medium 3.1 measured
Neither model has a result on the other 15 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 Medium 3.1
BenchmarkMuse WonderMistral Medium 3.1Leader
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 Medium 3.1$0.0014Fits in one request

Mistral Medium 3.1 costs less

Repository review

50K input + 3K output tokens

Muse Wonder$0.260Fits in one request
Mistral Medium 3.1$0.026Fits in one request

Mistral Medium 3.1 costs less

Agent loop

200K input + 10K output tokens

Muse Wonder$1.00Fits in one request
Mistral Medium 3.1$0.100Exceeds the context window

Mistral Medium 3.1 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 Medium 3.1
SpecificationMeta Muse WonderMistral Medium 3.1
MakerMetaMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedOctober 12, 2026August 13, 2025
Context window1.05M131K
Input $/Mtok$4.00$0.40
Output $/Mtok$20.00$2.00
Coding index71.9Not benchmarked
Independent measurements behind it30
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Wonder better than Mistral Medium 3.1 for coding?

Only Muse Wonder has a coding score, 71.9 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding. Pick Mistral Medium 3.1 for output tokens 10.0x cheaper ($2.00 vs $20.00 per million).

Which is cheaper, Muse Wonder or Mistral Medium 3.1?

Muse Wonder costs $4.00 per million input tokens and $20.00 per million output tokens; Mistral Medium 3.1 costs $0.40 and $2.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Muse Wonder or Mistral Medium 3.1?

Muse Wonder, with 1.05M tokens against 131K.

How many benchmarks is the Muse Wonder vs Mistral Medium 3.1 comparison based on?

34 benchmarks have a result for both models as of October 21, 2026. Muse Wonder's coding index rests on 3 independent benchmarks and Mistral Medium 3.1's on 0. Where only one model has a result, the page says so instead of naming a winner.

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