Muse Spark 1.1 vs Mistral Large 2407
Muse Spark 1.1 leads Mistral Large 2407 on the Artificial Analysis Intelligence Index, 33.7 to 7.6, and Muse Spark 1.1 costs 1.4x less per output token ($4.25 vs $6.00 per million). Updated October 22, 2026; 5 benchmarks have a result for both.
Muse Spark 1.1 or Mistral Large 2407: which to pick
Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; Mistral Large 2407 has none, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
- Shared results
- 5
- Muse Spark 1.1 only
- 91
- Mistral Large 2407 only
- 12
- Like-for-like categories
- 3 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
Muse Spark 1.1
Muse Spark 1.1 leads, 33.7 against 7.6.
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
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 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Spark 1.1
Muse Spark 1.1 $0.0034, Mistral Large 2407 $0.0050 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 2407 not benchmarked.
- Widest category
- General, 54.4 points apart on average over 2 shared benchmarks.
- Widest single gap
- Long context reasoning (AA-LCR): Muse Spark 1.1 77.7% against Mistral Large 2407 2.0%, 75.7 points apart on a 0 to 100 scale.
- Output price
- Muse Spark 1.1 $4.25 against Mistral Large 2407 $6.00 per million output tokens, 1.4x apart.
- Context window
- Muse Spark 1.1 takes 1.05M tokens, Mistral Large 2407 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 1.1 | Bars | Mistral Large 2407 | Ties |
|---|---|---|---|---|
| Intelligence | 1 | 0 | ||
| Reasoning | 2 | 0 | ||
| General | 2 | 0 | ||
| All shared boards | 5 | 0 |
CodingDirectional onlySix of these boards feed the Vibe Coding Index16 boards, none shared
| Benchmark | Muse Spark 1.1 | Mistral Large 2407 | 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 |
| LiveCodeBench (Artificial Analysis run) | Not measured | 26.7% | Only Mistral Large 2407 measured |
| SciCode | 58.8% | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: coding | 1498 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: software and IT | 1498 | Not measured | Only Muse Spark 1.1 measured |
| 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 23 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Spark 1.1 | Mistral Large 2407 | Leader |
|---|---|---|---|
| AA Intelligence Index | 33.7 | 7.6 | Muse Spark 1.1 |
| Epoch Capabilities Index | 154.1 | Not measured | Only Muse Spark 1.1 measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index17 boards, none shared
| Benchmark | Muse Spark 1.1 | Mistral Large 2407 | 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 |
| 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 |
| τ²-Bench Telecom | Not measured | 33.0% | Only Mistral Large 2407 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 24 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Spark 1.1 | Mistral Large 2407 | 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% | 47.2% | Muse Spark 1.1 |
| Humanity's Last Exam (Artificial Analysis run) | 46.2% | 2.9% | Muse Spark 1.1 |
| GPQA Diamond (Epoch AI run) | Not measured | 49.0% | Only Mistral Large 2407 measured |
| SimpleBench | Not measured | 22.5% | Only Mistral Large 2407 measured |
| Chess puzzles | 34.0% | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: hard prompts | 1485 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: expert | 1478 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: hard prompts in English | 1480 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Vision: diagrams | 1305 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Vision: homework | 1287 | Not measured | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 10 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Muse Spark 1.1 | Mistral Large 2407 | Leader |
|---|---|---|---|
| AA Math Index | Not measured | 0.0 | Only Mistral Large 2407 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 0.0% | Only Mistral Large 2407 measured |
| OTIS Mock AIME | Not measured | 8.5% | Only Mistral Large 2407 measured |
| ProofBench | 39.0% | Not measured | Only Muse Spark 1.1 measured |
| MATH level 5 | Not measured | 44.8% | Only Mistral Large 2407 measured |
| LMArena Text: math | 1482 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: mathematical work | 1487 | Not measured | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 6 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
| Benchmark | Muse Spark 1.1 | Mistral Large 2407 | 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 |
| MMLU Pro (Artificial Analysis run) | Not measured | 68.3% | Only Mistral Large 2407 measured |
| SimpleQA Verified | 57.8% | Not measured | Only Muse Spark 1.1 measured |
| MMLU | Not measured | 80.0% | Only Mistral Large 2407 measured |
| LMArena Text: science | 1484 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: medicine and healthcare | 1479 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: legal and government | 1481 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: business and finance | 1470 | Not measured | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Muse Spark 1.1 | Mistral Large 2407 | Leader |
|---|---|---|---|
| Design Arena: websites | 1270 | Not measured | Only Muse Spark 1.1 measured |
| Design Arena: UI components | 1289 | 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 | 1268 | Not measured | Only Muse Spark 1.1 measured |
| Design Arena: 3D | 1260 | 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 | 1235 | Not measured | Only Muse Spark 1.1 measured |
| Design Arena: ASCII art | 1271 | 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 index20
| Benchmark | Muse Spark 1.1 | Mistral Large 2407 | 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 |
| IFBench | Not measured | 31.6% | Only Mistral Large 2407 measured |
| Long context reasoning (AA-LCR) | 77.7% | 2.0% | Muse Spark 1.1 |
| DTBench | 94.4% | 61.2% | Muse Spark 1.1 |
| LMCA | 49.9% | Not measured | Only Muse Spark 1.1 measured |
| Creative writing (Lech Mazur) | Not measured | 69.0% | Only Mistral Large 2407 measured |
| Surface Evolver Bench | 52.5% | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text | 1478 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: instruction following | 1457 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: creative writing | 1435 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Vision | 1293 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: English | 1478 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: non-English | 1471 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: Chinese | 1515 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: German | 1469 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: Japanese | 1450 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: Korean | 1459 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: French | 1492 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: Spanish | 1464 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: Russian | 1482 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: Polish | 1499 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: multi-turn | 1484 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: longer queries | 1462 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: writing and language | 1448 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Text: entertainment and media | 1438 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Vision: English | 1292 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Vision: Chinese | 1348 | Not measured | Only Muse Spark 1.1 measured |
| LMArena Vision: reading text | 1301 | Not measured | Only Muse Spark 1.1 measured |
| 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 2407 | 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 2407 |
|---|---|---|
| Maker | Meta | Mistral AI |
| Weights | No public weights listed | No public weights listed |
| Released | July 16, 2026 | November 19, 2024 |
| Context window | 1.05M | 131K |
| Input $/Mtok | $1.25 | $2.00 |
| Output $/Mtok | $4.25 | $6.00 |
| 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 Large 2407 for coding?
Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; Mistral Large 2407 has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, Muse Spark 1.1 or Mistral Large 2407?
Muse Spark 1.1 costs $1.25 per million input tokens and $4.25 per million output tokens; Mistral Large 2407 costs $2.00 and $6.00. 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 2407?
Muse Spark 1.1, with 1.05M tokens against 131K.
How many benchmarks is the Muse Spark 1.1 vs Mistral Large 2407 comparison based on?
5 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 2407's on 0. Where only one model has a result, the page says so instead of naming a winner.