Muse Wonder vs Mistral Medium 3.5
Muse Wonder leads Mistral Medium 3.5 on coding, 71.9 to 25.5 on the Vibe Coding Index, and Mistral Medium 3.5 costs 2.7x less per output token ($7.50 vs $20.00 per million). Updated October 21, 2026; 45 benchmarks have a result for both.
Muse Wonder or Mistral Medium 3.5: which to pick
Pick Muse Wonder for coding: it scores 71.9 on the Vibe Coding Index against 25.5 for Mistral Medium 3.5.
Pick Mistral Medium 3.5 for output tokens 2.7x cheaper ($7.50 vs $20.00 per million).
- Shared results
- 45
- Muse Wonder only
- 15
- Mistral Medium 3.5 only
- 36
- 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 25.5.
3 benchmarks behind each score
Intelligence
AA Intelligence Index
No call
Only Mistral Medium 3.5 has a AA Intelligence Index result, 14.2.
Directional only
Agentic work
AA Agentic Index
No call
Only Mistral Medium 3.5 has a AA Agentic Index result, 7.0.
Directional only
Reasoning
GPQA Diamond
No call
Only Mistral Medium 3.5 has a GPQA Diamond result, 34.9%.
Directional only
Knowledge
MMLU Pro
No call
Only Mistral Medium 3.5 has a MMLU Pro result, 75.3%.
Directional only
Web design
Design Arena: websites
Muse Wonder
Muse Wonder leads, 1362 against 1142.
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
Muse Wonder
Muse Wonder takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Medium 3.5
Muse Wonder $0.014, Mistral Medium 3.5 $0.0053 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Mistral Medium 3.5 has the number, $6.02.
Directional only
At a glance
- Coding index
- Muse Wonder 71.9 from 3 benchmarks, Mistral Medium 3.5 25.5 from 3 benchmarks.
- Widest category
- Coding, 42.4 points apart on average over 8 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Muse Wonder 83.1% against Mistral Medium 3.5 2.9%, 80.2 points apart on a 0 to 100 scale.
- Output price
- Muse Wonder $20.00 against Mistral Medium 3.5 $7.50 per million output tokens, 2.7x apart.
- Context window
- Muse Wonder takes 1.05M tokens, Mistral Medium 3.5 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.
| Category | Muse Wonder | Bars | Mistral Medium 3.5 | Ties |
|---|---|---|---|---|
| Coding | 8 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 4 | 0 | ||
| Reasoning | 4 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 4 | 0 | ||
| Web design | 6 | 0 | ||
| General | 15 | 0 | ||
| All shared boards | 45 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index80
| Benchmark | Muse Wonder | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| LMArena WebDev | 1652 | 1264 | Muse Wonder |
| AA Coding Index | Not measured | 46.9 | Only Mistral Medium 3.5 measured |
| SWE-bench Verified (Vals AI) | Not measured | 66.4% | Only Mistral Medium 3.5 measured |
| Terminal-Bench 4 (Vals AI) | 49.5% | Not measured | Only Muse Wonder measured |
| Vibe Code Bench (Vals AI) | 83.1% | 2.9% | Muse Wonder |
| Code migration (Vals AI) | 62.5% | 5.1% | Muse Wonder |
| IOI (Vals AI) | 66.9% | Not measured | Only Muse Wonder measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 39.0% | Only Mistral Medium 3.5 measured |
| SWE-bench Multimodal (Vals AI) | 45.6% | Not measured | Only Muse Wonder measured |
| Vibe Code Bench 1-100 (Vals AI) | 26.6% | Not measured | Only Muse Wonder measured |
| CyberBench (Vals AI) | 80.4% | Not measured | Only Muse Wonder measured |
| SciCode | 60.3% | 40.2% | Muse Wonder |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 33.3% | Only Mistral Medium 3.5 measured |
| ALE-Bench | Not measured | 764.0 | Only Mistral Medium 3.5 measured |
| LMArena Text: coding | 1522 | 1460 | Muse Wonder |
| LMArena Text: software and IT | 1515 | 1458 | Muse Wonder |
| LMArena WebDev: React | 1641 | 1254 | Muse Wonder |
| LMArena WebDev: HTML | 1694 | 1308 | Muse Wonder |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Wonder | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 14.2 | Only Mistral Medium 3.5 measured |
| Epoch Capabilities Index | 161.8 | 141.4 | Muse Wonder |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Muse Wonder | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 7.0 | Only Mistral Medium 3.5 measured |
| Design Arena: spreadsheets | 1227 | Not measured | Only Muse Wonder measured |
| Finance Agent (Vals AI) | 56.6% | 32.1% | Muse Wonder |
| Tax Agent Bench (Vals AI) | 36.3% | 4.5% | Muse Wonder |
| Legal Research Bench (Vals AI) | 50.5% | 9.1% | Muse Wonder |
| Harvey's Legal Agent Benchmark (Vals AI) | 23.8% | Not measured | Only Muse Wonder measured |
| Excel Modeling Benchmark (Vals AI) | 67.1% | 11.2% | Muse Wonder |
| BioMysteryBench (Vals AI) | 67.0% | Not measured | Only Muse Wonder measured |
| 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 |
| τ²-Bench Telecom | Not measured | 94.2% | Only Mistral Medium 3.5 measured |
| Vending-Bench 2 | $9,432 | Not measured | Only 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
| Benchmark | Muse Wonder | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 34.9% | Only Mistral Medium 3.5 measured |
| MysteryMechanism (Vals AI) | 27.5% | Not measured | Only Muse Wonder measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 74.8% | Only Mistral Medium 3.5 measured |
| Humanity's Last Exam (Artificial Analysis run) | 50.1% | 13.8% | Muse Wonder |
| LMArena Text: hard prompts | 1506 | 1436 | Muse Wonder |
| LMArena Text: expert | 1513 | 1432 | Muse Wonder |
| LMArena Text: hard prompts in English | 1506 | 1445 | Muse Wonder |
| LMArena Vision: diagrams | Not measured | 1254 | Only Mistral Medium 3.5 measured |
| LMArena Vision: homework | Not measured | 1230 | Only Mistral Medium 3.5 measured |
| Kagi LLM Benchmark | Not measured | 41.4% | Only Mistral Medium 3.5 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 Medium 3.5 | Leader |
|---|---|---|---|
| ProofBench | 84.0% | 9.0% | Muse Wonder |
| LMArena Text: math | 1486 | 1431 | Muse Wonder |
| LMArena Text: mathematical work | 1514 | 1440 | Muse Wonder |
| Neither model has a result on the other 10 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Muse Wonder | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 75.3% | Only Mistral Medium 3.5 measured |
| CaseLaw (Vals AI) | Not measured | 44.2% | Only Mistral Medium 3.5 measured |
| CorpFin (Vals AI) | Not measured | 58.8% | Only Mistral Medium 3.5 measured |
| TaxEval (Vals AI) | Not measured | 68.0% | Only Mistral Medium 3.5 measured |
| MortgageTax (Vals AI) | Not measured | 28.9% | Only Mistral Medium 3.5 measured |
| MedCode (Vals AI) | Not measured | 33.8% | Only Mistral Medium 3.5 measured |
| LMArena Text: science | 1506 | 1428 | Muse Wonder |
| LMArena Text: medicine and healthcare | 1512 | 1409 | Muse Wonder |
| LMArena Text: legal and government | 1505 | 1437 | Muse Wonder |
| LMArena Text: business and finance | 1483 | 1426 | Muse Wonder |
| Neither model has a result on the other 8 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Muse Wonder | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| Design Arena: websites | 1362 | 1142 | Muse Wonder |
| Design Arena: UI components | 1374 | 1079 | Muse Wonder |
| Design Arena: game dev | 1377 | 1079 | Muse Wonder |
| Design Arena: data viz | 1321 | 1120 | Muse Wonder |
| Design Arena: 3D | 1426 | 1061 | Muse Wonder |
| Design Arena: all code categories | 1371 | 1121 | Muse Wonder |
| Design Arena: SVG | Not measured | 950 | Only Mistral Medium 3.5 measured |
| Design Arena: ASCII art | Not measured | 1063 | Only Mistral Medium 3.5 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index150
| Benchmark | Muse Wonder | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| Vals Index | 64.9% | Not measured | Only Muse Wonder measured |
| Public Benefits Bench (Vals AI) | 70.2% | Not measured | Only Muse Wonder measured |
| SAGE (Vals AI) | Not measured | 37.6% | Only Mistral Medium 3.5 measured |
| MedScribe (Vals AI) | Not measured | 67.7% | Only Mistral Medium 3.5 measured |
| Vals Multimodal Index | Not measured | 34.8% | Only Mistral Medium 3.5 measured |
| IFBench | Not measured | 68.8% | Only Mistral Medium 3.5 measured |
| Long context reasoning (AA-LCR) | 80.7% | 69.3% | Muse Wonder |
| DTBench | 95.2% | 75.5% | Muse Wonder |
| LMCA | 56.8% | 26.1% | Muse Wonder |
| Surface Evolver Bench | Not measured | 26.9% | Only Mistral Medium 3.5 measured |
| LMArena Text | 1502 | 1421 | Muse Wonder |
| LMArena Text: instruction following | 1491 | 1415 | Muse Wonder |
| LMArena Text: creative writing | 1491 | 1374 | Muse Wonder |
| LMArena Vision | Not measured | 1222 | Only Mistral Medium 3.5 measured |
| LMArena Text: English | 1507 | 1433 | Muse Wonder |
| LMArena Text: non-English | 1492 | 1404 | Muse Wonder |
| LMArena Text: Chinese | 1537 | 1444 | Muse Wonder |
| LMArena Text: German | Not measured | 1453 | Only Mistral Medium 3.5 measured |
| LMArena Text: Korean | Not measured | 1384 | Only Mistral Medium 3.5 measured |
| LMArena Text: French | 1523 | 1448 | Muse Wonder |
| LMArena Text: Spanish | Not measured | 1411 | Only Mistral Medium 3.5 measured |
| LMArena Text: Russian | 1522 | 1395 | Muse Wonder |
| LMArena Text: Polish | Not measured | 1430 | Only Mistral Medium 3.5 measured |
| LMArena Text: multi-turn | 1510 | 1423 | Muse Wonder |
| LMArena Text: longer queries | 1493 | 1415 | Muse Wonder |
| LMArena Text: writing and language | 1496 | 1384 | Muse Wonder |
| LMArena Text: entertainment and media | 1482 | 1382 | Muse Wonder |
| LMArena Vision: English | Not measured | 1240 | Only Mistral Medium 3.5 measured |
| LMArena Vision: Chinese | Not measured | 1244 | Only Mistral Medium 3.5 measured |
| LMArena Vision: reading text | Not measured | 1233 | Only Mistral Medium 3.5 measured |
| LMArena Vision: humor | Not measured | 1216 | Only Mistral Medium 3.5 measured |
| LMArena Vision: creative writing | Not measured | 1198 | Only Mistral Medium 3.5 measured |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Wonder | Mistral Medium 3.5 | 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 Medium 3.5 costs less
Repository review
50K input + 3K output tokens
Mistral Medium 3.5 costs less
Agent loop
200K input + 10K output tokens
Mistral Medium 3.5 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 Medium 3.5 |
|---|---|---|
| Maker | Meta | Mistral AI |
| Weights | No public weights listed | No public weights listed |
| Released | October 12, 2026 | April 30, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $4.00 | $1.50 |
| Output $/Mtok | $20.00 | $7.50 |
| Coding index | 71.9 | 25.5 |
| Independent measurements behind it | 3 | 3 |
| Cost per solved task | Not computable | $6.02 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Wonder better than Mistral Medium 3.5 for coding?
Pick Muse Wonder for coding: it scores 71.9 on the Vibe Coding Index against 25.5 for Mistral Medium 3.5. Pick Mistral Medium 3.5 for output tokens 2.7x cheaper ($7.50 vs $20.00 per million).
Which is cheaper, Muse Wonder or Mistral Medium 3.5?
Muse Wonder costs $4.00 per million input tokens and $20.00 per million output tokens; Mistral Medium 3.5 costs $1.50 and $7.50. Cost per solved task is known for Mistral Medium 3.5 only.
Which has the bigger context window, Muse Wonder or Mistral Medium 3.5?
Muse Wonder, with 1.05M tokens against 262K.
How many benchmarks is the Muse Wonder vs Mistral Medium 3.5 comparison based on?
45 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 3.5's on 3. Where only one model has a result, the page says so instead of naming a winner.