Muse Wonder vs Mistral Large 4
Muse Wonder leads Mistral Large 4 on coding, 71.9 to 56.4 on the Vibe Coding Index, and Mistral Large 4 costs 4.8x less per output token ($4.18 vs $20.00 per million). Updated October 22, 2026; 52 benchmarks have a result for both.
Muse Wonder or Mistral Large 4: which to pick
Pick Muse Wonder for coding: it scores 71.9 on the Vibe Coding Index against 56.4 for Mistral Large 4, though on 3 benchmarks against 5.
Pick Mistral Large 4 for output tokens 4.8x cheaper ($4.18 vs $20.00 per million) and work measured by Long context reasoning (AA-LCR), where it leads.
- Shared results
- 52
- Muse Wonder only
- 8
- Mistral Large 4 only
- 29
- Like-for-like categories
- 8 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.
Coding
Vibe Coding Index, six public coding benchmarks
Muse Wonder
Muse Wonder scores 71.9 against 56.4.
3 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only Mistral Large 4 has a AA Intelligence Index result, 38.4.
Directional only
Web design
Design Arena: websites
Muse Wonder
Muse Wonder leads, 1362 against 1257.
Same board, both measured
General
Vals Index
No call
Only Muse Wonder has a Vals Index result, 64.9%.
Directional only
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Large 4
Muse Wonder $0.014, Mistral Large 4 $0.0034 per turn.
List prices
At a glance
- Coding index
- Muse Wonder 71.9 from 3 benchmarks, Mistral Large 4 56.4 from 5 benchmarks.
- Widest category
- Math, 28.5 points apart on average over 3 shared benchmarks.
- Widest single gap
- ProofBench: Muse Wonder 84.0% against Mistral Large 4 10.0%, 74.0 points apart on a 0 to 100 scale.
- Output price
- Muse Wonder $20.00 against Mistral Large 4 $4.18 per million output tokens, 4.8x apart.
- Context window
- Both take 1.05M tokens.
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.
| Category | Muse Wonder | Bars | Mistral Large 4 | Ties |
|---|---|---|---|---|
| Coding | 12 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 5 | 0 | 1 tie | |
| Reasoning | 5 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 4 | 0 | ||
| Web design | 6 | 0 | ||
| General | 14 | 1 | ||
| All shared boards | 50 | 1 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index120
| Benchmark | Muse Wonder | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 60.0% | Only Mistral Large 4 measured |
| LMArena WebDev | 1652 | 1543 | Muse Wonder |
| Terminal-Bench 4 (Vals AI) | 49.5% | 27.8% | Muse Wonder |
| Vibe Code Bench (Vals AI) | 83.1% | 78.4% | Muse Wonder |
| Code migration (Vals AI) | 62.5% | 30.6% | Muse Wonder |
| IOI (Vals AI) | 66.9% | 45.3% | Muse Wonder |
| SWE-bench Multimodal (Vals AI) | 45.6% | 33.1% | Muse Wonder |
| Vibe Code Bench 1-100 (Vals AI) | 26.6% | 14.3% | Muse Wonder |
| CyberBench (Vals AI) | 80.4% | Not measured | Only Muse Wonder measured |
| SciCode | 60.3% | 54.2% | Muse Wonder |
| FrontierCode | Not measured | 39.4% | Only Mistral Large 4 measured |
| ALE-Bench | Not measured | 1213.2 | Only Mistral Large 4 measured |
| LMArena Text: coding | 1522 | 1478 | Muse Wonder |
| LMArena Text: software and IT | 1515 | 1467 | Muse Wonder |
| LMArena WebDev: React | 1641 | 1559 | Muse Wonder |
| LMArena WebDev: HTML | 1694 | 1487 | Muse Wonder |
| Neither model has a result on the other 23 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Wonder | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 38.4 | Only Mistral Large 4 measured |
| Epoch Capabilities Index | 161.8 | 150.0 | Muse Wonder |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Muse Wonder | Mistral Large 4 | Leader |
|---|---|---|---|
| Design Arena: spreadsheets | 1243 | Not measured | Only Muse Wonder measured |
| LiveBench research | Not measured | 28.1% | Only Mistral Large 4 measured |
| LiveBench browser | Not measured | 8.0% | Only Mistral Large 4 measured |
| LiveBench long agentic | Not measured | 11.8% | Only Mistral Large 4 measured |
| Finance Agent (Vals AI) | 56.6% | 54.7% | Muse Wonder |
| Tax Agent Bench (Vals AI) | 36.3% | 30.4% | Muse Wonder |
| Legal Research Bench (Vals AI) | 50.5% | 31.7% | Muse Wonder |
| Harvey's Legal Agent Benchmark (Vals AI) | 23.8% | 17.5% | Muse Wonder |
| Excel Modeling Benchmark (Vals AI) | 67.1% | 56.2% | Muse Wonder |
| BioMysteryBench (Vals AI) | 67.0% | 67.0% | Tie |
| Terminal-Bench-Science (Vals AI) | 22.9% | Not measured | Only Muse Wonder measured |
| Vals Science Index | 39.1% | Not measured | Only Muse Wonder measured |
| CUA-bench (Vals AI) | 7.2% | Not measured | Only Muse Wonder measured |
| Vending-Bench 2 | $9,432 | Not measured | Only Muse Wonder measured |
| Neither model has a result on the other 27 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Muse Wonder | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench reasoning | Not measured | 83.9% | Only Mistral Large 4 measured |
| MysteryMechanism (Vals AI) | 27.5% | 12.2% | Muse Wonder |
| Humanity's Last Exam (Artificial Analysis run) | 50.1% | 35.0% | Muse Wonder |
| GPQA Diamond (Epoch AI run) | Not measured | 88.1% | Only Mistral Large 4 measured |
| Chess puzzles | Not measured | 33.0% | Only Mistral Large 4 measured |
| Mystery game puzzles | Not measured | 17.0% | Only Mistral Large 4 measured |
| LMArena Text: hard prompts | 1506 | 1444 | Muse Wonder |
| LMArena Text: expert | 1513 | 1444 | Muse Wonder |
| LMArena Text: hard prompts in English | 1506 | 1442 | Muse Wonder |
| LMArena Vision: diagrams | Not measured | 1288 | Only Mistral Large 4 measured |
| Neither model has a result on the other 12 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Muse Wonder | Mistral Large 4 | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 98.3% | Only Mistral Large 4 measured |
| FrontierMath, tiers 1 to 3 | Not measured | 58.6% | Only Mistral Large 4 measured |
| FrontierMath, tier 4 | Not measured | 26.8% | Only Mistral Large 4 measured |
| ProofBench | 84.0% | 10.0% | Muse Wonder |
| LMArena Text: math | 1486 | 1469 | Muse Wonder |
| LMArena Text: mathematical work | 1514 | 1462 | Muse Wonder |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Muse Wonder | Mistral Large 4 | Leader |
|---|---|---|---|
| MedCode (Vals AI) | Not measured | 40.7% | Only Mistral Large 4 measured |
| SimpleQA Verified | Not measured | 20.0% | Only Mistral Large 4 measured |
| LMArena Text: science | 1506 | 1448 | Muse Wonder |
| LMArena Text: medicine and healthcare | 1512 | 1433 | Muse Wonder |
| LMArena Text: legal and government | 1505 | 1425 | Muse Wonder |
| LMArena Text: business and finance | 1483 | 1439 | Muse Wonder |
| Neither model has a result on the other 12 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Muse Wonder | Mistral Large 4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1362 | 1257 | Muse Wonder |
| Design Arena: UI components | 1379 | 1272 | Muse Wonder |
| Design Arena: game dev | 1376 | 1225 | Muse Wonder |
| Design Arena: data viz | 1317 | 1275 | Muse Wonder |
| Design Arena: 3D | 1427 | 1252 | Muse Wonder |
| Design Arena: all code categories | 1371 | 1259 | Muse Wonder |
| Design Arena: SVG | Not measured | 1232 | Only Mistral Large 4 measured |
| Design Arena: ASCII art | Not measured | 1202 | Only Mistral Large 4 measured |
| LiveBench design | Not measured | 65.6% | Only Mistral Large 4 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index141
| Benchmark | Muse Wonder | Mistral Large 4 | Leader |
|---|---|---|---|
| Vals Index | 64.9% | Not measured | Only Muse Wonder measured |
| LiveBench data analysis | Not measured | 76.5% | Only Mistral Large 4 measured |
| Public Benefits Bench (Vals AI) | 70.2% | Not measured | Only Muse Wonder measured |
| MedScribe (Vals AI) | Not measured | 80.4% | Only Mistral Large 4 measured |
| Long context reasoning (AA-LCR) | 80.7% | 81.3% | Mistral Large 4 |
| DTBench | 95.2% | 88.2% | Muse Wonder |
| LMCA | 56.8% | 35.8% | Muse Wonder |
| Surface Evolver Bench | Not measured | 28.1% | Only Mistral Large 4 measured |
| Furniture assembly | Not measured | 20.8% | Only Mistral Large 4 measured |
| LMArena Text | 1502 | 1431 | Muse Wonder |
| LMArena Text: instruction following | 1491 | 1422 | Muse Wonder |
| LMArena Text: creative writing | 1491 | 1363 | Muse Wonder |
| LMArena Vision | Not measured | 1272 | Only Mistral Large 4 measured |
| LMArena Text: English | 1507 | 1433 | Muse Wonder |
| LMArena Text: non-English | 1492 | 1422 | Muse Wonder |
| LMArena Text: Chinese | 1537 | 1492 | Muse Wonder |
| LMArena Text: Japanese | Not measured | 1415 | Only Mistral Large 4 measured |
| LMArena Text: French | 1523 | 1492 | Muse Wonder |
| LMArena Text: Spanish | Not measured | 1455 | Only Mistral Large 4 measured |
| LMArena Text: Russian | 1522 | 1417 | Muse Wonder |
| LMArena Text: multi-turn | 1510 | 1435 | Muse Wonder |
| LMArena Text: longer queries | 1493 | 1428 | Muse Wonder |
| LMArena Text: writing and language | 1496 | 1386 | Muse Wonder |
| LMArena Text: entertainment and media | 1482 | 1378 | Muse Wonder |
| LMArena Vision: English | Not measured | 1283 | Only Mistral Large 4 measured |
| LMArena Vision: reading text | Not measured | 1284 | Only Mistral Large 4 measured |
| Neither model has a result on the other 20 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Wonder | Mistral Large 4 | Leader |
|---|---|---|---|
| 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
Mistral Large 4 costs less
Repository review
50K input + 3K output tokens
Mistral Large 4 costs less
Agent loop
200K input + 10K output tokens
Mistral Large 4 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.
| Specification | Meta Muse Wonder | Mistral Large 4 |
|---|---|---|
| Maker | Meta | Mistral AI |
| Weights | No public weights listed | No public weights listed |
| Released | October 12, 2026 | October 6, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $4.00 | $1.36 |
| Output $/Mtok | $20.00 | $4.18 |
| Coding index | 71.9 | 56.4 |
| Independent measurements behind it | 3 | 5 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Wonder better than Mistral Large 4 for coding?
Pick Muse Wonder for coding: it scores 71.9 on the Vibe Coding Index against 56.4 for Mistral Large 4, though on 3 benchmarks against 5. Pick Mistral Large 4 for output tokens 4.8x cheaper ($4.18 vs $20.00 per million) and work measured by Long context reasoning (AA-LCR), where it leads.
Which is cheaper, Muse Wonder or Mistral Large 4?
Muse Wonder costs $4.00 per million input tokens and $20.00 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for neither of them.
Which has the bigger context window, Muse Wonder or Mistral Large 4?
Neither: both take 1.05M tokens.
How many benchmarks is the Muse Wonder vs Mistral Large 4 comparison based on?
52 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 4's on 5. Where only one model has a result, the page says so instead of naming a winner.