Muse Wonder vs Mistral Small 3.1 24B
Mistral Small 3.1 24B costs 36.0x less per output token than Muse Wonder ($0.555 vs $20.00 per million). Updated October 22, 2026; 23 benchmarks have a result for both.
Muse Wonder or Mistral Small 3.1 24B: which to pick
Only Muse Wonder has a coding score, 71.9 on the Vibe Coding Index; Mistral Small 3.1 24B has none, so the two cannot be ranked on coding.
Pick Mistral Small 3.1 24B for output tokens 36.0x cheaper ($0.555 vs $20.00 per million).
- Shared results
- 23
- Muse Wonder only
- 37
- Mistral Small 3.1 24B only
- 15
- Like-for-like categories
- 5 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
No call
Only Muse Wonder has a coding score, so no call is made.
One side not measured
Web design
Design Arena: websites
No call
Only Muse Wonder has a Design Arena: websites result, 1362.
Directional only
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 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Small 3.1 24B
Muse Wonder $0.014, Mistral Small 3.1 24B $0.0006 per turn.
List prices
At a glance
- Coding index
- Muse Wonder 71.9 from 3 benchmarks, Mistral Small 3.1 24B not benchmarked.
- Widest category
- Knowledge, 39.4 points apart on average over 4 shared benchmarks.
- Widest single gap
- LMArena Text: Chinese: Muse Wonder 1537 against Mistral Small 3.1 24B 1253, 47.4 points apart on a 0 to 100 scale.
- Output price
- Muse Wonder $20.00 against Mistral Small 3.1 24B $0.555 per million output tokens, 36.0x apart.
- Context window
- Muse Wonder takes 1.05M tokens, Mistral Small 3.1 24B 128K.
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 Small 3.1 24B | Ties |
|---|---|---|---|---|
| Coding | 2 | 0 | ||
| Reasoning | 3 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| General | 12 | 0 | ||
| All shared boards | 23 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
| Benchmark | Muse Wonder | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| LMArena WebDev | 1652 | Not measured | Only Muse Wonder measured |
| Terminal-Bench 4 (Vals AI) | 49.5% | Not measured | Only Muse Wonder measured |
| Vibe Code Bench (Vals AI) | 83.1% | Not measured | Only Muse Wonder measured |
| Code migration (Vals AI) | 62.5% | Not measured | Only Muse Wonder measured |
| IOI (Vals AI) | 66.9% | Not measured | Only Muse Wonder 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% | Not measured | Only Muse Wonder measured |
| LMArena Text: coding | 1522 | 1309 | Muse Wonder |
| LMArena Text: software and IT | 1515 | 1301 | Muse Wonder |
| LMArena WebDev: React | 1641 | Not measured | Only Muse Wonder measured |
| LMArena WebDev: HTML | 1694 | Not measured | Only Muse Wonder measured |
| Neither model has a result on the other 26 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Muse Wonder | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| Epoch Capabilities Index | 161.8 | Not measured | Only Muse Wonder measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
| Benchmark | Muse Wonder | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| Design Arena: spreadsheets | 1243 | Not measured | Only Muse Wonder measured |
| Finance Agent (Vals AI) | 56.6% | Not measured | Only Muse Wonder measured |
| Tax Agent Bench (Vals AI) | 36.3% | Not measured | Only Muse Wonder measured |
| Legal Research Bench (Vals AI) | 50.5% | Not measured | Only Muse Wonder measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 23.8% | Not measured | Only Muse Wonder measured |
| Excel Modeling Benchmark (Vals AI) | 67.1% | Not measured | Only Muse Wonder measured |
| 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 |
| Vending-Bench 2 | $9,432 | Not measured | Only Muse Wonder measured |
| Neither model has a result on the other 30 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Muse Wonder | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| MysteryMechanism (Vals AI) | 27.5% | Not measured | Only Muse Wonder measured |
| Humanity's Last Exam (Artificial Analysis run) | 50.1% | Not measured | Only Muse Wonder measured |
| LMArena Text: hard prompts | 1506 | 1278 | Muse Wonder |
| LMArena Text: expert | 1513 | 1257 | Muse Wonder |
| LMArena Text: hard prompts in English | 1506 | 1290 | Muse Wonder |
| LMArena Vision: diagrams | Not measured | 1119 | Only Mistral Small 3.1 24B measured |
| LMArena Vision: homework | Not measured | 1158 | Only Mistral Small 3.1 24B measured |
| Neither model has a result on the other 15 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Wonder | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| ProofBench | 84.0% | Not measured | Only Muse Wonder measured |
| LMArena Text: math | 1486 | 1261 | Muse Wonder |
| LMArena Text: mathematical work | 1514 | 1271 | 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 Small 3.1 24B | Leader |
|---|---|---|---|
| LMArena Text: science | 1506 | 1265 | Muse Wonder |
| LMArena Text: medicine and healthcare | 1512 | 1267 | Muse Wonder |
| LMArena Text: legal and government | 1505 | 1271 | Muse Wonder |
| LMArena Text: business and finance | 1483 | 1257 | Muse Wonder |
| Neither model has a result on the other 14 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Muse Wonder | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| Design Arena: websites | 1362 | Not measured | Only Muse Wonder measured |
| Design Arena: UI components | 1379 | Not measured | Only Muse Wonder measured |
| Design Arena: game dev | 1376 | Not measured | Only Muse Wonder measured |
| Design Arena: data viz | 1317 | Not measured | Only Muse Wonder measured |
| Design Arena: 3D | 1427 | Not measured | Only Muse Wonder measured |
| Design Arena: all code categories | 1371 | Not measured | Only Muse Wonder measured |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index120
| Benchmark | Muse Wonder | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| Vals Index | 64.9% | Not measured | Only Muse Wonder measured |
| Public Benefits Bench (Vals AI) | 70.2% | Not measured | Only Muse Wonder measured |
| Long context reasoning (AA-LCR) | 80.7% | Not measured | Only Muse Wonder measured |
| DTBench | 95.2% | Not measured | Only Muse Wonder measured |
| LMCA | 56.8% | Not measured | Only Muse Wonder measured |
| LMArena Text | 1502 | 1277 | Muse Wonder |
| LMArena Text: instruction following | 1491 | 1263 | Muse Wonder |
| LMArena Text: creative writing | 1491 | 1252 | Muse Wonder |
| LMArena Vision | Not measured | 1136 | Only Mistral Small 3.1 24B measured |
| LMArena Text: English | 1507 | 1295 | Muse Wonder |
| LMArena Text: non-English | 1492 | 1255 | Muse Wonder |
| LMArena Text: Chinese | 1537 | 1253 | Muse Wonder |
| LMArena Text: German | Not measured | 1266 | Only Mistral Small 3.1 24B measured |
| LMArena Text: Japanese | Not measured | 1208 | Only Mistral Small 3.1 24B measured |
| LMArena Text: Korean | Not measured | 1207 | Only Mistral Small 3.1 24B measured |
| LMArena Text: French | 1523 | 1273 | Muse Wonder |
| LMArena Text: Spanish | Not measured | 1284 | Only Mistral Small 3.1 24B measured |
| LMArena Text: Russian | 1522 | 1263 | Muse Wonder |
| LMArena Text: Polish | Not measured | 1242 | Only Mistral Small 3.1 24B measured |
| LMArena Text: multi-turn | 1510 | 1270 | Muse Wonder |
| LMArena Text: longer queries | 1493 | 1299 | Muse Wonder |
| LMArena Text: writing and language | 1496 | 1268 | Muse Wonder |
| LMArena Text: entertainment and media | 1482 | 1250 | Muse Wonder |
| LMArena Vision: English | Not measured | 1157 | Only Mistral Small 3.1 24B measured |
| LMArena Vision: Chinese | Not measured | 1155 | Only Mistral Small 3.1 24B measured |
| LMArena Vision: reading text | Not measured | 1132 | Only Mistral Small 3.1 24B measured |
| LMArena Vision: humor | Not measured | 1142 | Only Mistral Small 3.1 24B measured |
| LMArena Vision: captioning | Not measured | 1153 | Only Mistral Small 3.1 24B measured |
| LMArena Vision: recognizing things | Not measured | 1155 | Only Mistral Small 3.1 24B measured |
| LMArena Vision: creative writing | Not measured | 1123 | Only Mistral Small 3.1 24B measured |
| Neither model has a result on the other 16 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Wonder | Mistral Small 3.1 24B | 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 Small 3.1 24B costs less
Repository review
50K input + 3K output tokens
Mistral Small 3.1 24B costs less
Agent loop
200K input + 10K output tokens
Mistral Small 3.1 24B 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 Small 3.1 24B |
|---|---|---|
| Maker | Meta | Mistral AI |
| Weights | No public weights listed | Open weights |
| Released | October 12, 2026 | March 17, 2025 |
| Context window | 1.05M | 128K |
| Input $/Mtok | $4.00 | $0.351 |
| Output $/Mtok | $20.00 | $0.555 |
| Coding index | 71.9 | Not benchmarked |
| Independent measurements behind it | 3 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Wonder better than Mistral Small 3.1 24B for coding?
Only Muse Wonder has a coding score, 71.9 on the Vibe Coding Index; Mistral Small 3.1 24B has none, so the two cannot be ranked on coding. Pick Mistral Small 3.1 24B for output tokens 36.0x cheaper ($0.555 vs $20.00 per million).
Which is cheaper, Muse Wonder or Mistral Small 3.1 24B?
Muse Wonder costs $4.00 per million input tokens and $20.00 per million output tokens; Mistral Small 3.1 24B costs $0.351 and $0.555. Cost per solved task is known for neither of them.
Which has the bigger context window, Muse Wonder or Mistral Small 3.1 24B?
Muse Wonder, with 1.05M tokens against 128K.
How many benchmarks is the Muse Wonder vs Mistral Small 3.1 24B comparison based on?
23 benchmarks have a result for both models as of October 22, 2026. Muse Wonder's coding index rests on 3 independent benchmarks and Mistral Small 3.1 24B's on 0. Where only one model has a result, the page says so instead of naming a winner.