Muse Spark 1.1 vs Mistral Large 4
Muse Spark 1.1 leads Mistral Large 4 on coding, 70.3 to 56.4 on the Vibe Coding Index, at about the same output price ($4.25 vs $4.18 per million). Updated October 22, 2026; 57 benchmarks have a result for both.
Muse Spark 1.1 or Mistral Large 4: which to pick
Pick Muse Spark 1.1 for coding: it scores 70.3 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 1.0x cheaper ($4.18 vs $4.25 per million) and work measured by LMArena WebDev or Vibe Code Bench (Vals AI), where it leads.
- Shared results
- 57
- Muse Spark 1.1 only
- 39
- Mistral Large 4 only
- 24
- 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 Spark 1.1
Muse Spark 1.1 scores 70.3 against 56.4.
3 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
Mistral Large 4
Mistral Large 4 leads, 38.4 against 33.7.
Same board, both measured
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
Muse Spark 1.1
Muse Spark 1.1 leads, 1270 against 1257.
Same board, both measured
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Spark 1.1
Muse Spark 1.1 $0.0034, Mistral Large 4 $0.0034 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 Large 4 56.4 from 5 benchmarks.
- Widest category
- Knowledge, 13.2 points apart on average over 5 shared benchmarks.
- Widest single gap
- SimpleQA Verified: Muse Spark 1.1 57.8% against Mistral Large 4 20.0%, 37.8 points apart on a 0 to 100 scale.
- Output price
- Muse Spark 1.1 $4.25 against Mistral Large 4 $4.18 per million output tokens, 1.0x 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 Spark 1.1 | Bars | Mistral Large 4 | Ties |
|---|---|---|---|---|
| Coding | 5 | 3 | ||
| Intelligence | 1 | 1 | ||
| Agentic work | 3 | 0 | ||
| Reasoning | 6 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 5 | 0 | ||
| Web design | 7 | 1 | ||
| General | 20 | 2 | ||
| All shared boards | 50 | 7 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index53
| Benchmark | Muse Spark 1.1 | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 60.0% | Only Mistral Large 4 measured |
| LMArena WebDev | 1542 | 1543 | Mistral Large 4 |
| 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 |
| Terminal-Bench 4 (Vals AI) | Not measured | 27.8% | Only Mistral Large 4 measured |
| Vibe Code Bench (Vals AI) | 72.2% | 78.4% | Mistral Large 4 |
| Code migration (Vals AI) | 31.1% | 30.6% | Muse Spark 1.1 |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Muse Spark 1.1 measured |
| IOI (Vals AI) | Not measured | 45.3% | Only Mistral Large 4 measured |
| Terminal-Bench 2.1 (Vals AI) | 69.3% | Not measured | Only Muse Spark 1.1 measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 33.1% | Only Mistral Large 4 measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 14.3% | Only Mistral Large 4 measured |
| SkillsBench (Vals AI) | 59.2% | Not measured | Only Muse Spark 1.1 measured |
| SciCode | 58.8% | 54.2% | Muse Spark 1.1 |
| FrontierCode | Not measured | 39.4% | Only Mistral Large 4 measured |
| ALE-Bench | Not measured | 1213.2 | Only Mistral Large 4 measured |
| LMArena Text: coding | 1498 | 1478 | Muse Spark 1.1 |
| LMArena Text: software and IT | 1498 | 1467 | Muse Spark 1.1 |
| LMArena WebDev: React | 1532 | 1559 | Mistral Large 4 |
| LMArena WebDev: HTML | 1540 | 1487 | Muse Spark 1.1 |
| LMArena WebDev: from an image | 1540 | Not measured | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 17 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Muse Spark 1.1 | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 33.7 | 38.4 | Mistral Large 4 |
| Epoch Capabilities Index | 154.1 | 150.0 | Muse Spark 1.1 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Muse Spark 1.1 | Mistral Large 4 | 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 | 1195 | Not measured | Only Muse Spark 1.1 measured |
| Design Arena: PowerPoint slides | 1155 | Not measured | Only Muse Spark 1.1 measured |
| Design Arena: spreadsheets | 1042 | Not measured | Only Muse Spark 1.1 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) | 57.2% | 54.7% | Muse Spark 1.1 |
| Tax Agent Bench (Vals AI) | Not measured | 30.4% | Only Mistral Large 4 measured |
| Legal Research Bench (Vals AI) | 38.0% | 31.7% | Muse Spark 1.1 |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 17.5% | Only Mistral Large 4 measured |
| Excel Modeling Benchmark (Vals AI) | 56.4% | 56.2% | Muse Spark 1.1 |
| BioMysteryBench (Vals AI) | Not measured | 67.0% | Only Mistral Large 4 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 19 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Muse Spark 1.1 | Mistral Large 4 | Leader |
|---|---|---|---|
| GPQA Diamond | 91.2% | Not measured | Only Muse Spark 1.1 measured |
| LiveBench reasoning | Not measured | 83.9% | Only Mistral Large 4 measured |
| MysteryMechanism (Vals AI) | Not measured | 12.2% | Only Mistral Large 4 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% | 35.0% | Muse Spark 1.1 |
| GPQA Diamond (Epoch AI run) | Not measured | 88.1% | Only Mistral Large 4 measured |
| Chess puzzles | 34.0% | 33.0% | Muse Spark 1.1 |
| Mystery game puzzles | Not measured | 17.0% | Only Mistral Large 4 measured |
| LMArena Text: hard prompts | 1485 | 1444 | Muse Spark 1.1 |
| LMArena Text: expert | 1478 | 1444 | Muse Spark 1.1 |
| LMArena Text: hard prompts in English | 1480 | 1442 | Muse Spark 1.1 |
| LMArena Vision: diagrams | 1305 | 1288 | Muse Spark 1.1 |
| LMArena Vision: homework | 1287 | Not measured | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Muse Spark 1.1 | 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 | 39.0% | 10.0% | Muse Spark 1.1 |
| LMArena Text: math | 1482 | 1469 | Muse Spark 1.1 |
| LMArena Text: mathematical work | 1487 | 1462 | Muse Spark 1.1 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Muse Spark 1.1 | Mistral Large 4 | 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 |
| MedCode (Vals AI) | Not measured | 40.7% | Only Mistral Large 4 measured |
| SimpleQA Verified | 57.8% | 20.0% | Muse Spark 1.1 |
| LMArena Text: science | 1484 | 1448 | Muse Spark 1.1 |
| LMArena Text: medicine and healthcare | 1479 | 1433 | Muse Spark 1.1 |
| LMArena Text: legal and government | 1481 | 1425 | Muse Spark 1.1 |
| LMArena Text: business and finance | 1470 | 1439 | Muse Spark 1.1 |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index71
| Benchmark | Muse Spark 1.1 | Mistral Large 4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1270 | 1257 | Muse Spark 1.1 |
| Design Arena: UI components | 1289 | 1272 | Muse Spark 1.1 |
| Design Arena: game dev | 1269 | 1225 | Muse Spark 1.1 |
| Design Arena: data viz | 1268 | 1275 | Mistral Large 4 |
| Design Arena: 3D | 1260 | 1252 | Muse Spark 1.1 |
| Design Arena: all code categories | 1276 | 1259 | Muse Spark 1.1 |
| Design Arena: SVG | 1235 | 1232 | Muse Spark 1.1 |
| Design Arena: ASCII art | 1271 | 1202 | Muse Spark 1.1 |
| LiveBench design | Not measured | 65.6% | Only Mistral Large 4 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index202
| Benchmark | Muse Spark 1.1 | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 76.5% | Only Mistral Large 4 measured |
| 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% | 80.4% | Muse Spark 1.1 |
| Vals Multimodal Index | 66.7% | Not measured | Only Muse Spark 1.1 measured |
| Long context reasoning (AA-LCR) | 77.7% | 81.3% | Mistral Large 4 |
| DTBench | 94.4% | 88.2% | Muse Spark 1.1 |
| LMCA | 49.9% | 35.8% | Muse Spark 1.1 |
| Surface Evolver Bench | 52.5% | 28.1% | Muse Spark 1.1 |
| Furniture assembly | Not measured | 20.8% | Only Mistral Large 4 measured |
| LMArena Text | 1478 | 1431 | Muse Spark 1.1 |
| LMArena Text: instruction following | 1457 | 1422 | Muse Spark 1.1 |
| LMArena Text: creative writing | 1435 | 1363 | Muse Spark 1.1 |
| LMArena Vision | 1293 | 1272 | Muse Spark 1.1 |
| LMArena Text: English | 1478 | 1433 | Muse Spark 1.1 |
| LMArena Text: non-English | 1471 | 1422 | Muse Spark 1.1 |
| LMArena Text: Chinese | 1515 | 1492 | Muse Spark 1.1 |
| LMArena Text: German | 1469 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: Japanese | 1450 | 1415 | Muse Spark 1.1 |
| LMArena Text: Korean | 1459 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: French | 1492 | 1492 | Mistral Large 4 |
| LMArena Text: Spanish | 1464 | 1455 | Muse Spark 1.1 |
| LMArena Text: Russian | 1482 | 1417 | Muse Spark 1.1 |
| LMArena Text: Polish | 1499 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: multi-turn | 1484 | 1435 | Muse Spark 1.1 |
| LMArena Text: longer queries | 1462 | 1428 | Muse Spark 1.1 |
| LMArena Text: writing and language | 1448 | 1386 | Muse Spark 1.1 |
| LMArena Text: entertainment and media | 1438 | 1378 | Muse Spark 1.1 |
| LMArena Vision: English | 1292 | 1283 | Muse Spark 1.1 |
| LMArena Vision: Chinese | 1348 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Vision: reading text | 1301 | 1284 | Muse Spark 1.1 |
| LMArena Vision: humor | 1288 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Vision: creative writing | 1253 | Not measured | Only Muse Spark 1.1 measured |
| 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 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
Muse Spark 1.1 costs less
Repository review
50K input + 3K output tokens
Muse Spark 1.1 costs less
Agent loop
200K input + 10K output tokens
Muse Spark 1.1 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 1.1 | Mistral Large 4 |
|---|---|---|
| Maker | Meta | Mistral AI |
| Weights | No public weights listed | No public weights listed |
| Released | July 16, 2026 | October 6, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $1.25 | $1.36 |
| Output $/Mtok | $4.25 | $4.18 |
| Coding index | 70.3 | 56.4 |
| Independent measurements behind it | 3 | 5 |
| Cost per solved task | $0.43 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Spark 1.1 better than Mistral Large 4 for coding?
Pick Muse Spark 1.1 for coding: it scores 70.3 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 1.0x cheaper ($4.18 vs $4.25 per million) and work measured by LMArena WebDev or Vibe Code Bench (Vals AI), where it leads.
Which is cheaper, Muse Spark 1.1 or Mistral Large 4?
Muse Spark 1.1 costs $1.25 per million input tokens and $4.25 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for Muse Spark 1.1 only.
Which has the bigger context window, Muse Spark 1.1 or Mistral Large 4?
Neither: both take 1.05M tokens.
How many benchmarks is the Muse Spark 1.1 vs Mistral Large 4 comparison based on?
57 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 Large 4's on 5. Where only one model has a result, the page says so instead of naming a winner.