Muse Spark 1.1 vs Mistral Small 3.1 24B
Mistral Small 3.1 24B costs 7.7x less per output token than Muse Spark 1.1 ($0.555 vs $4.25 per million). Updated October 22, 2026; 36 benchmarks have a result for both.
Muse Spark 1.1 or Mistral Small 3.1 24B: which to pick
Only Muse Spark 1.1 has a coding score, 70.3 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 7.7x cheaper ($0.555 vs $4.25 per million).
- Shared results
- 36
- Muse Spark 1.1 only
- 60
- Mistral Small 3.1 24B only
- 2
- 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 Spark 1.1 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Muse Spark 1.1 has a AA Intelligence Index result, 33.7.
Directional only
Agentic work
AA Agentic Index
No call
Only Muse Spark 1.1 has a AA Agentic Index result, 25.8.
Directional only
Reasoning
GPQA Diamond
No call
Only Muse Spark 1.1 has a GPQA Diamond result, 91.2%.
Directional only
Knowledge
MMLU Pro
No call
Only Muse Spark 1.1 has a MMLU Pro result, 88.7%.
Directional only
Web design
Design Arena: websites
No call
Only Muse Spark 1.1 has a Design Arena: websites result, 1270.
Directional only
Long documents
Listed context window
Muse Spark 1.1
Muse Spark 1.1 takes 1.05M tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Small 3.1 24B
Muse Spark 1.1 $0.0034, Mistral Small 3.1 24B $0.0006 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Muse Spark 1.1 has the number, $0.43.
Directional only
At a glance
- Coding index
- Muse Spark 1.1 70.3 from 3 benchmarks, Mistral Small 3.1 24B not benchmarked.
- Widest category
- Math, 36.4 points apart on average over 2 shared benchmarks.
- Widest single gap
- LMArena Text: Chinese: Muse Spark 1.1 1515 against Mistral Small 3.1 24B 1253, 43.8 points apart on a 0 to 100 scale.
- Output price
- Muse Spark 1.1 $4.25 against Mistral Small 3.1 24B $0.555 per million output tokens, 7.7x apart.
- Context window
- Muse Spark 1.1 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 Spark 1.1 | Bars | Mistral Small 3.1 24B | Ties |
|---|---|---|---|---|
| Coding | 2 | 0 | ||
| Reasoning | 5 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| General | 23 | 0 | ||
| All shared boards | 36 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
| Benchmark | Muse Spark 1.1 | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| LMArena WebDev | 1542 | Not measured | Only Muse Spark 1.1 measured |
| AA Coding Index | 71.3 | Not measured | Only Muse Spark 1.1 measured |
| LiveCodeBench (Vals AI) | 85.9% | Not measured | Only Muse Spark 1.1 measured |
| SWE-bench Verified (Vals AI) | 82.0% | Not measured | Only Muse Spark 1.1 measured |
| Vibe Code Bench (Vals AI) | 72.2% | Not measured | Only Muse Spark 1.1 measured |
| Code migration (Vals AI) | 31.1% | Not measured | Only Muse Spark 1.1 measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Muse Spark 1.1 measured |
| Terminal-Bench 2.1 (Vals AI) | 69.3% | Not measured | Only Muse Spark 1.1 measured |
| SkillsBench (Vals AI) | 59.2% | Not measured | Only Muse Spark 1.1 measured |
| SciCode | 58.8% | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: coding | 1498 | 1309 | Muse Spark 1.1 |
| LMArena Text: software and IT | 1498 | 1301 | Muse Spark 1.1 |
| LMArena WebDev: React | 1532 | Not measured | Only Muse Spark 1.1 measured |
| LMArena WebDev: HTML | 1540 | Not measured | Only Muse Spark 1.1 measured |
| LMArena WebDev: from an image | 1540 | Not measured | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 24 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Muse Spark 1.1 | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| AA Intelligence Index | 33.7 | Not measured | Only Muse Spark 1.1 measured |
| Epoch Capabilities Index | 154.1 | Not measured | Only Muse Spark 1.1 measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
| Benchmark | Muse Spark 1.1 | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| AA Agentic Index | 25.8 | Not measured | Only Muse Spark 1.1 measured |
| Design Arena: agents building web apps | 1207 | Not measured | Only Muse Spark 1.1 measured |
| Design Arena: agents building full-stack apps | 1199 | Not measured | Only Muse Spark 1.1 measured |
| Design Arena: agents building mobile apps | 1175 | Not measured | Only Muse Spark 1.1 measured |
| Design Arena: agents building Android apps | 1178 | Not measured | Only Muse Spark 1.1 measured |
| Design Arena: agents building Godot games | 1103 | Not measured | Only Muse Spark 1.1 measured |
| Design Arena: agents building games | 1183 | Not measured | Only Muse Spark 1.1 measured |
| Design Arena: HTML slides | 1145 | Not measured | Only Muse Spark 1.1 measured |
| Design Arena: PowerPoint slides | 1134 | Not measured | Only Muse Spark 1.1 measured |
| Design Arena: spreadsheets | 1021 | Not measured | Only Muse Spark 1.1 measured |
| Finance Agent (Vals AI) | 57.2% | Not measured | Only Muse Spark 1.1 measured |
| Legal Research Bench (Vals AI) | 38.0% | Not measured | Only Muse Spark 1.1 measured |
| Excel Modeling Benchmark (Vals AI) | 56.4% | Not measured | Only Muse Spark 1.1 measured |
| Time Horizon Index (Vals AI) | 1.7% | Not measured | Only Muse Spark 1.1 measured |
| APEX-Agents | 31.8% | Not measured | Only Muse Spark 1.1 measured |
| Vending-Bench 2 | $6,520 | Not measured | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 25 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Muse Spark 1.1 | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| GPQA Diamond | 91.2% | Not measured | Only Muse Spark 1.1 measured |
| MMMU Pro (Vals AI) | 86.6% | Not measured | Only Muse Spark 1.1 measured |
| GPQA Diamond (Artificial Analysis run) | 89.8% | Not measured | Only Muse Spark 1.1 measured |
| Humanity's Last Exam (Artificial Analysis run) | 46.2% | Not measured | Only Muse Spark 1.1 measured |
| Chess puzzles | 34.0% | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: hard prompts | 1485 | 1278 | Muse Spark 1.1 |
| LMArena Text: expert | 1478 | 1257 | Muse Spark 1.1 |
| LMArena Text: hard prompts in English | 1480 | 1290 | Muse Spark 1.1 |
| LMArena Vision: diagrams | 1305 | 1119 | Muse Spark 1.1 |
| LMArena Vision: homework | 1287 | 1158 | Muse Spark 1.1 |
| Neither model has a result on the other 12 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Spark 1.1 | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| ProofBench | 39.0% | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: math | 1482 | 1261 | Muse Spark 1.1 |
| LMArena Text: mathematical work | 1487 | 1271 | Muse Spark 1.1 |
| 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 Spark 1.1 | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| MMLU Pro | 88.7% | Not measured | Only Muse Spark 1.1 measured |
| LegalBench (Vals AI) | 85.0% | Not measured | Only Muse Spark 1.1 measured |
| CorpFin (Vals AI) | 71.3% | Not measured | Only Muse Spark 1.1 measured |
| TaxEval (Vals AI) | 79.7% | Not measured | Only Muse Spark 1.1 measured |
| MortgageTax (Vals AI) | 66.1% | Not measured | Only Muse Spark 1.1 measured |
| SimpleQA Verified | 57.8% | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: science | 1484 | 1265 | Muse Spark 1.1 |
| LMArena Text: medicine and healthcare | 1479 | 1267 | Muse Spark 1.1 |
| LMArena Text: legal and government | 1481 | 1271 | Muse Spark 1.1 |
| LMArena Text: business and finance | 1470 | 1257 | Muse Spark 1.1 |
| Neither model has a result on the other 8 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Muse Spark 1.1 | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| Design Arena: websites | 1270 | Not measured | Only Muse Spark 1.1 measured |
| Design Arena: UI components | 1287 | Not measured | Only Muse Spark 1.1 measured |
| Design Arena: game dev | 1269 | Not measured | Only Muse Spark 1.1 measured |
| Design Arena: data viz | 1267 | Not measured | Only Muse Spark 1.1 measured |
| Design Arena: 3D | 1259 | Not measured | Only Muse Spark 1.1 measured |
| Design Arena: all code categories | 1276 | Not measured | Only Muse Spark 1.1 measured |
| Design Arena: SVG | 1234 | Not measured | Only Muse Spark 1.1 measured |
| Design Arena: ASCII art | 1269 | Not measured | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index230
| Benchmark | Muse Spark 1.1 | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 61.3% | Not measured | Only Muse Spark 1.1 measured |
| SAGE (Vals AI) | 45.6% | Not measured | Only Muse Spark 1.1 measured |
| MedScribe (Vals AI) | 88.9% | Not measured | Only Muse Spark 1.1 measured |
| Vals Multimodal Index | 66.7% | Not measured | Only Muse Spark 1.1 measured |
| Long context reasoning (AA-LCR) | 77.7% | Not measured | Only Muse Spark 1.1 measured |
| DTBench | 94.4% | Not measured | Only Muse Spark 1.1 measured |
| LMCA | 49.9% | Not measured | Only Muse Spark 1.1 measured |
| Surface Evolver Bench | 52.5% | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text | 1478 | 1277 | Muse Spark 1.1 |
| LMArena Text: instruction following | 1457 | 1263 | Muse Spark 1.1 |
| LMArena Text: creative writing | 1435 | 1252 | Muse Spark 1.1 |
| LMArena Vision | 1293 | 1136 | Muse Spark 1.1 |
| LMArena Text: English | 1478 | 1295 | Muse Spark 1.1 |
| LMArena Text: non-English | 1471 | 1255 | Muse Spark 1.1 |
| LMArena Text: Chinese | 1515 | 1253 | Muse Spark 1.1 |
| LMArena Text: German | 1469 | 1266 | Muse Spark 1.1 |
| LMArena Text: Japanese | 1450 | 1208 | Muse Spark 1.1 |
| LMArena Text: Korean | 1459 | 1207 | Muse Spark 1.1 |
| LMArena Text: French | 1492 | 1273 | Muse Spark 1.1 |
| LMArena Text: Spanish | 1464 | 1284 | Muse Spark 1.1 |
| LMArena Text: Russian | 1482 | 1263 | Muse Spark 1.1 |
| LMArena Text: Polish | 1499 | 1242 | Muse Spark 1.1 |
| LMArena Text: multi-turn | 1484 | 1270 | Muse Spark 1.1 |
| LMArena Text: longer queries | 1462 | 1299 | Muse Spark 1.1 |
| LMArena Text: writing and language | 1448 | 1268 | Muse Spark 1.1 |
| LMArena Text: entertainment and media | 1438 | 1250 | Muse Spark 1.1 |
| LMArena Vision: English | 1292 | 1157 | Muse Spark 1.1 |
| LMArena Vision: Chinese | 1348 | 1155 | Muse Spark 1.1 |
| LMArena Vision: reading text | 1301 | 1132 | Muse Spark 1.1 |
| LMArena Vision: humor | 1288 | 1142 | Muse Spark 1.1 |
| 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 | 1253 | 1123 | Muse Spark 1.1 |
| LMArena Document | 1465 | Not measured | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Spark 1.1 | 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 Spark 1.1 | Mistral Small 3.1 24B |
|---|---|---|
| Maker | Meta | Mistral AI |
| Weights | No public weights listed | Open weights |
| Released | July 16, 2026 | March 17, 2025 |
| Context window | 1.05M | 128K |
| Input $/Mtok | $1.25 | $0.351 |
| Output $/Mtok | $4.25 | $0.555 |
| Coding index | 70.3 | Not benchmarked |
| Independent measurements behind it | 3 | 0 |
| Cost per solved task | $0.43 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Spark 1.1 better than Mistral Small 3.1 24B for coding?
Only Muse Spark 1.1 has a coding score, 70.3 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 7.7x cheaper ($0.555 vs $4.25 per million).
Which is cheaper, Muse Spark 1.1 or Mistral Small 3.1 24B?
Muse Spark 1.1 costs $1.25 per million input tokens and $4.25 per million output tokens; Mistral Small 3.1 24B costs $0.351 and $0.555. Cost per solved task is known for Muse Spark 1.1 only.
Which has the bigger context window, Muse Spark 1.1 or Mistral Small 3.1 24B?
Muse Spark 1.1, with 1.05M tokens against 128K.
How many benchmarks is the Muse Spark 1.1 vs Mistral Small 3.1 24B comparison based on?
36 benchmarks have a result for both models as of October 22, 2026. Muse Spark 1.1'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.