Muse Spark 1.2 vs Mistral Medium 3.1
Muse Spark 1.2 leads Mistral Medium 3.1 on the Artificial Analysis Intelligence Index, 39.6 to 9.2, and Mistral Medium 3.1 costs 2.1x less per output token ($2.00 vs $4.25 per million). Updated October 22, 2026; 52 benchmarks have a result for both.
Muse Spark 1.2 or Mistral Medium 3.1: which to pick
Only Muse Spark 1.2 has a coding score, 55.7 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 2.1x cheaper ($2.00 vs $4.25 per million).
- Shared results
- 52
- Muse Spark 1.2 only
- 45
- Mistral Medium 3.1 only
- 22
- 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
No call
Only Muse Spark 1.2 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Muse Spark 1.2
Muse Spark 1.2 leads, 39.6 against 9.2.
Same board, both measured
Agentic work
AA Agentic Index
Muse Spark 1.2
Muse Spark 1.2 leads, 43.2 against 1.9.
Same board, both measured
Math
AIME
No call
Only Mistral Medium 3.1 has a AIME result, 42.3%.
Directional only
Knowledge
MMLU Pro
Muse Spark 1.2
Muse Spark 1.2 leads, 88.3% against 75.3%.
Same board, both measured
Web design
Design Arena: websites
Muse Spark 1.2
Muse Spark 1.2 leads, 1312 against 1132.
Same board, both measured
Long documents
Listed context window
Muse Spark 1.2
Muse Spark 1.2 takes 1.05M tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Medium 3.1
Muse Spark 1.2 $0.0034, Mistral Medium 3.1 $0.0014 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Muse Spark 1.2 has the number, $0.64.
Directional only
At a glance
- Coding index
- Muse Spark 1.2 55.7 from 5 benchmarks, Mistral Medium 3.1 not benchmarked.
- Widest category
- Agentic work, 41.3 points apart on average over 1 shared benchmark.
- Widest single gap
- AA Coding Index: Muse Spark 1.2 72.2 against Mistral Medium 3.1 20.5, 51.7 points apart on a 0 to 100 scale.
- Output price
- Muse Spark 1.2 $4.25 against Mistral Medium 3.1 $2.00 per million output tokens, 2.1x apart.
- Context window
- Muse Spark 1.2 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.
| Category | Muse Spark 1.2 | Bars | Mistral Medium 3.1 | Ties |
|---|---|---|---|---|
| Coding | 4 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 7 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 9 | 0 | ||
| Web design | 8 | 0 | ||
| General | 20 | 0 | ||
| All shared boards | 52 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
| Benchmark | Muse Spark 1.2 | Mistral Medium 3.1 | Leader |
|---|---|---|---|
| LiveBench coding | 78.2% | Not measured | Only Muse Spark 1.2 measured |
| LMArena WebDev | 1534 | Not measured | Only Muse Spark 1.2 measured |
| AA Coding Index | 72.2 | 20.5 | Muse Spark 1.2 |
| LiveCodeBench (Vals AI) | Not measured | 44.8% | Only Mistral Medium 3.1 measured |
| SWE-bench Verified (Vals AI) | 86.6% | Not measured | Only Muse Spark 1.2 measured |
| Terminal-Bench 4 (Vals AI) | 6.1% | Not measured | Only Muse Spark 1.2 measured |
| Vibe Code Bench (Vals AI) | 79.1% | Not measured | Only Muse Spark 1.2 measured |
| Code migration (Vals AI) | 29.9% | Not measured | Only Muse Spark 1.2 measured |
| ProgramBench (Vals AI) | 0.5% | Not measured | Only Muse Spark 1.2 measured |
| IOI (Vals AI) | 21.8% | Not measured | Only Muse Spark 1.2 measured |
| Terminal-Bench 2.1 (Vals AI) | 69.7% | Not measured | Only Muse Spark 1.2 measured |
| SkillsBench (Vals AI) | 53.0% | Not measured | Only Muse Spark 1.2 measured |
| CyberBench (Vals AI) | 69.5% | Not measured | Only Muse Spark 1.2 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 40.6% | Only Mistral Medium 3.1 measured |
| SciCode | 57.4% | 32.4% | Muse Spark 1.2 |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 10.6% | Only Mistral Medium 3.1 measured |
| FrontierSWE | 12.0% | Not measured | Only Muse Spark 1.2 measured |
| WeirdML | 60.3% | Not measured | Only Muse Spark 1.2 measured |
| ALE-Bench | Not measured | 210.2 | Only Mistral Medium 3.1 measured |
| LMArena Text: coding | 1505 | 1433 | Muse Spark 1.2 |
| LMArena Text: software and IT | 1505 | 1436 | Muse Spark 1.2 |
| LMArena WebDev: React | 1526 | Not measured | Only Muse Spark 1.2 measured |
| LMArena WebDev: HTML | 1543 | Not measured | Only Muse Spark 1.2 measured |
| Neither model has a result on the other 16 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Spark 1.2 | Mistral Medium 3.1 | Leader |
|---|---|---|---|
| AA Intelligence Index | 39.6 | 9.2 | Muse Spark 1.2 |
| Epoch Capabilities Index | 155.1 | Not measured | Only Muse Spark 1.2 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Spark 1.2 | Mistral Medium 3.1 | Leader |
|---|---|---|---|
| AA Agentic Index | 43.2 | 1.9 | Muse Spark 1.2 |
| Design Arena: agents building web apps | 1221 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: agents building full-stack apps | 1210 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: agents building mobile apps | 1181 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: agents building Android apps | 1222 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: agents building games | 1179 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: HTML slides | 1085 | Not measured | Only Muse Spark 1.2 measured |
| Design Arena: PowerPoint slides | 1172 | Not measured | Only Muse Spark 1.2 measured |
| LiveBench research | 67.7% | Not measured | Only Muse Spark 1.2 measured |
| LiveBench browser | 36.0% | Not measured | Only Muse Spark 1.2 measured |
| LiveBench long agentic | 21.3% | Not measured | Only Muse Spark 1.2 measured |
| SREBench (Vals AI) | 0.0% | Not measured | Only Muse Spark 1.2 measured |
| Finance Agent (Vals AI) | 60.6% | Not measured | Only Muse Spark 1.2 measured |
| Tax Agent Bench (Vals AI) | 32.8% | Not measured | Only Muse Spark 1.2 measured |
| Legal Research Bench (Vals AI) | 43.8% | Not measured | Only Muse Spark 1.2 measured |
| Excel Modeling Benchmark (Vals AI) | 57.0% | Not measured | Only Muse Spark 1.2 measured |
| BioMysteryBench (Vals AI) | 64.8% | Not measured | Only Muse Spark 1.2 measured |
| τ²-Bench Telecom | Not measured | 40.6% | Only Mistral Medium 3.1 measured |
| APEX-Agents | 45.4% | Not measured | Only Muse Spark 1.2 measured |
| Neither model has a result on the other 22 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Muse Spark 1.2 | Mistral Medium 3.1 | Leader |
|---|---|---|---|
| LiveBench reasoning | 90.0% | Not measured | Only Muse Spark 1.2 measured |
| MMMU Pro (Vals AI) | 86.1% | 63.0% | Muse Spark 1.2 |
| GPQA Diamond (Artificial Analysis run) | 90.4% | 58.8% | Muse Spark 1.2 |
| Humanity's Last Exam (Artificial Analysis run) | 45.5% | 4.7% | Muse Spark 1.2 |
| SimpleBench | 74.5% | Not measured | Only Muse Spark 1.2 measured |
| Chess puzzles | 27.0% | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: hard prompts | 1489 | 1426 | Muse Spark 1.2 |
| LMArena Text: expert | 1475 | 1408 | Muse Spark 1.2 |
| LMArena Text: hard prompts in English | 1487 | 1435 | Muse Spark 1.2 |
| LMArena Vision: diagrams | 1317 | 1175 | Muse Spark 1.2 |
| LMArena Vision: homework | Not measured | 1165 | Only Mistral Medium 3.1 measured |
| Neither model has a result on the other 11 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Spark 1.2 | Mistral Medium 3.1 | Leader |
|---|---|---|---|
| AIME | Not measured | 42.3% | Only Mistral Medium 3.1 measured |
| MATH 500 (Vals AI) | Not measured | 87.0% | Only Mistral Medium 3.1 measured |
| MGSM (Vals AI) | Not measured | 90.9% | Only Mistral Medium 3.1 measured |
| AA Math Index | Not measured | 38.3 | Only Mistral Medium 3.1 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 38.3% | Only Mistral Medium 3.1 measured |
| ProofBench | 43.0% | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: math | 1484 | 1408 | Muse Spark 1.2 |
| LMArena Text: mathematical work | 1480 | 1412 | Muse Spark 1.2 |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | Muse Spark 1.2 | Mistral Medium 3.1 | Leader |
|---|---|---|---|
| MMLU Pro | 88.3% | 75.3% | Muse Spark 1.2 |
| LegalBench (Vals AI) | 85.3% | 62.0% | Muse Spark 1.2 |
| CorpFin (Vals AI) | 70.9% | 50.7% | Muse Spark 1.2 |
| TaxEval (Vals AI) | 80.4% | 70.3% | Muse Spark 1.2 |
| MortgageTax (Vals AI) | 65.4% | 36.5% | Muse Spark 1.2 |
| MedQA (Vals AI) | Not measured | 78.2% | Only Mistral Medium 3.1 measured |
| MedCode (Vals AI) | 49.4% | Not measured | Only Muse Spark 1.2 measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 68.3% | Only Mistral Medium 3.1 measured |
| SimpleQA Verified | 60.3% | Not measured | Only Muse Spark 1.2 measured |
| LMArena Text: science | 1500 | 1444 | Muse Spark 1.2 |
| LMArena Text: medicine and healthcare | 1496 | 1449 | Muse Spark 1.2 |
| LMArena Text: legal and government | 1517 | 1439 | Muse Spark 1.2 |
| LMArena Text: business and finance | 1484 | 1418 | Muse Spark 1.2 |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Muse Spark 1.2 | Mistral Medium 3.1 | Leader |
|---|---|---|---|
| Design Arena: websites | 1312 | 1132 | Muse Spark 1.2 |
| Design Arena: UI components | 1298 | 1097 | Muse Spark 1.2 |
| Design Arena: game dev | 1301 | 1073 | Muse Spark 1.2 |
| Design Arena: data viz | 1334 | 1144 | Muse Spark 1.2 |
| Design Arena: 3D | 1301 | 1081 | Muse Spark 1.2 |
| Design Arena: all code categories | 1312 | 1120 | Muse Spark 1.2 |
| Design Arena: SVG | 1284 | 992 | Muse Spark 1.2 |
| Design Arena: ASCII art | 1284 | 997 | Muse Spark 1.2 |
| LiveBench design | 67.1% | Not measured | Only Muse Spark 1.2 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index200
| Benchmark | Muse Spark 1.2 | Mistral Medium 3.1 | Leader |
|---|---|---|---|
| LiveBench data analysis | 76.5% | Not measured | Only Muse Spark 1.2 measured |
| Public Benefits Bench (Vals AI) | 68.5% | Not measured | Only Muse Spark 1.2 measured |
| SAGE (Vals AI) | 47.7% | Not measured | Only Muse Spark 1.2 measured |
| MedScribe (Vals AI) | 90.1% | Not measured | Only Muse Spark 1.2 measured |
| Vals Multimodal Index | 69.8% | Not measured | Only Muse Spark 1.2 measured |
| IFBench | Not measured | 39.8% | Only Mistral Medium 3.1 measured |
| Long context reasoning (AA-LCR) | 79.0% | 42.7% | Muse Spark 1.2 |
| DTBench | 94.7% | 67.5% | Muse Spark 1.2 |
| LMCA | 48.4% | 19.1% | Muse Spark 1.2 |
| LMArena Text | 1482 | 1424 | Muse Spark 1.2 |
| LMArena Text: instruction following | 1462 | 1398 | Muse Spark 1.2 |
| LMArena Text: creative writing | 1436 | 1391 | Muse Spark 1.2 |
| LMArena Vision | 1304 | 1172 | Muse Spark 1.2 |
| LMArena Text: English | 1483 | 1438 | Muse Spark 1.2 |
| LMArena Text: non-English | 1476 | 1408 | Muse Spark 1.2 |
| LMArena Text: Chinese | 1509 | 1447 | Muse Spark 1.2 |
| LMArena Text: German | Not measured | 1432 | Only Mistral Medium 3.1 measured |
| LMArena Text: Japanese | Not measured | 1379 | Only Mistral Medium 3.1 measured |
| LMArena Text: Korean | 1462 | 1380 | Muse Spark 1.2 |
| LMArena Text: French | 1495 | 1460 | Muse Spark 1.2 |
| LMArena Text: Spanish | 1484 | 1433 | Muse Spark 1.2 |
| LMArena Text: Russian | 1483 | 1411 | Muse Spark 1.2 |
| LMArena Text: Polish | Not measured | 1430 | Only Mistral Medium 3.1 measured |
| LMArena Text: multi-turn | 1502 | 1418 | Muse Spark 1.2 |
| LMArena Text: longer queries | 1473 | 1406 | Muse Spark 1.2 |
| LMArena Text: writing and language | 1453 | 1395 | Muse Spark 1.2 |
| LMArena Text: entertainment and media | 1443 | 1390 | Muse Spark 1.2 |
| LMArena Vision: English | 1291 | 1179 | Muse Spark 1.2 |
| LMArena Vision: Chinese | Not measured | 1190 | Only Mistral Medium 3.1 measured |
| LMArena Vision: reading text | 1313 | 1175 | Muse Spark 1.2 |
| LMArena Vision: humor | Not measured | 1168 | Only Mistral Medium 3.1 measured |
| LMArena Vision: captioning | Not measured | 1145 | Only Mistral Medium 3.1 measured |
| LMArena Vision: recognizing things | Not measured | 1147 | Only Mistral Medium 3.1 measured |
| LMArena Vision: creative writing | Not measured | 1200 | Only Mistral Medium 3.1 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 1.2 | Mistral Medium 3.1 | 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 3.1 costs less
Repository review
50K input + 3K output tokens
Mistral Medium 3.1 costs less
Agent loop
200K input + 10K output tokens
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.
| Specification | Meta Muse Spark 1.2 | Mistral Medium 3.1 |
|---|---|---|
| Maker | Meta | Mistral AI |
| Weights | No public weights listed | No public weights listed |
| Released | August 5, 2026 | August 13, 2025 |
| Context window | 1.05M | 131K |
| Input $/Mtok | $1.25 | $0.40 |
| Output $/Mtok | $4.25 | $2.00 |
| Coding index | 55.7 | Not benchmarked |
| Independent measurements behind it | 5 | 0 |
| Cost per solved task | $0.64 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Spark 1.2 better than Mistral Medium 3.1 for coding?
Only Muse Spark 1.2 has a coding score, 55.7 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 2.1x cheaper ($2.00 vs $4.25 per million).
Which is cheaper, Muse Spark 1.2 or Mistral Medium 3.1?
Muse Spark 1.2 costs $1.25 per million input tokens and $4.25 per million output tokens; Mistral Medium 3.1 costs $0.40 and $2.00. Cost per solved task is known for Muse Spark 1.2 only.
Which has the bigger context window, Muse Spark 1.2 or Mistral Medium 3.1?
Muse Spark 1.2, with 1.05M tokens against 131K.
How many benchmarks is the Muse Spark 1.2 vs Mistral Medium 3.1 comparison based on?
52 benchmarks have a result for both models as of October 22, 2026. Muse Spark 1.2's coding index rests on 5 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.