Muse Spark Open vs Mistral Large 4
Updated October 21, 2026. 24 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Muse Spark Open for coding: it scores 62.1 on the Vibe Coding Index against 55.3 for Mistral Large 4.
Pick Mistral Large 4 when output tokens cost 1.0x less, or when what matters is LMArena WebDev or Terminal-Bench 4 (Vals AI), where it leads.
- Shared results
- 24
- Muse Spark Open only
- 2
- Mistral Large 4 only
- 57
- Like-for-like categories
- 6 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
Muse Spark Open
Muse Spark Open scores 62.1 against 55.3.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
No call
Only Mistral Large 4 has a AA Intelligence Index result, 38.4.
Directional only
Web design
Design Arena: websites
Muse Spark Open
Muse Spark Open leads, 1311 against 1258.
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 Open
Muse Spark Open $0.0034, Mistral Large 4 $0.0034 per turn.
List prices
At a glance
- Coding index
- Muse Spark Open 62.1 from 2 benchmarks, Mistral Large 4 55.3 from 2 benchmarks.
- Widest category
- Agentic work, 15.3 points apart on average over 7 shared benchmarks.
- Widest single gap
- LiveBench research: Muse Spark Open 80.3% against Mistral Large 4 28.1%, 52.2 points apart on a 0 to 100 scale.
- Output price
- Muse Spark Open $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 Open | Bars | Mistral Large 4 | Ties |
|---|---|---|---|---|
| Coding | 4 | 5 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 5 | 2 | ||
| Reasoning | 1 | 1 | ||
| Web design | 2 | 1 | ||
| General | 0 | 2 | ||
| All shared boards | 13 | 11 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index45
| Benchmark | Muse Spark Open | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench coding | 73.6% | 60.0% | Muse Spark Open |
| LMArena WebDev | 1528 | 1543 | Mistral Large 4 |
| Terminal-Bench 4 (Vals AI) | 6.6% | 27.8% | Mistral Large 4 |
| Vibe Code Bench (Vals AI) | 76.2% | 78.4% | Mistral Large 4 |
| Code migration (Vals AI) | 21.2% | 30.6% | Mistral Large 4 |
| IOI (Vals AI) | Not measured | 45.3% | Only Mistral Large 4 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 |
| SciCode | 58.4% | 54.2% | Muse Spark Open |
| FrontierCode | Not measured | 39.4% | Only Mistral Large 4 measured |
| ALE-Bench | 1590.1 | 1213.2 | Muse Spark Open |
| LMArena Text: coding | Not measured | 1478 | Only Mistral Large 4 measured |
| LMArena Text: software and IT | Not measured | 1467 | Only Mistral Large 4 measured |
| LMArena WebDev: React | 1529 | 1559 | Mistral Large 4 |
| LMArena WebDev: HTML | 1495 | 1487 | Muse Spark Open |
| 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 Open | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 38.4 | Only Mistral Large 4 measured |
| Epoch Capabilities Index | 155.1 | 150.0 | Muse Spark Open |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index52
| Benchmark | Muse Spark Open | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench research | 80.3% | 28.1% | Muse Spark Open |
| LiveBench browser | 36.0% | 8.0% | Muse Spark Open |
| LiveBench long agentic | 18.9% | 11.8% | Muse Spark Open |
| Finance Agent (Vals AI) | 61.3% | 54.7% | Muse Spark Open |
| Tax Agent Bench (Vals AI) | 26.3% | 30.4% | Mistral Large 4 |
| Legal Research Bench (Vals AI) | 38.5% | 31.7% | Muse Spark Open |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 17.5% | Only Mistral Large 4 measured |
| Excel Modeling Benchmark (Vals AI) | 53.7% | 56.2% | Mistral Large 4 |
| BioMysteryBench (Vals AI) | Not measured | 67.0% | Only Mistral Large 4 measured |
| APEX-Agents | 33.4% | Not measured | Only Muse Spark Open measured |
| Neither model has a result on the other 29 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Muse Spark Open | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench reasoning | 73.7% | 83.9% | Mistral Large 4 |
| MysteryMechanism (Vals AI) | Not measured | 12.2% | Only Mistral Large 4 measured |
| GPQA Diamond (Artificial Analysis run) | 89.0% | Not measured | Only Muse Spark Open measured |
| Humanity's Last Exam (Artificial Analysis run) | 43.9% | 35.0% | Muse Spark Open |
| GPQA Diamond (Epoch AI run) | Not measured | 88.1% | Only Mistral Large 4 measured |
| Chess puzzles | Not measured | 33.0% | Only Mistral Large 4 measured |
| Mystery game puzzles | Not measured | 17.0% | Only Mistral Large 4 measured |
| LMArena Text: hard prompts | Not measured | 1444 | Only Mistral Large 4 measured |
| LMArena Text: expert | Not measured | 1444 | Only Mistral Large 4 measured |
| LMArena Text: hard prompts in English | Not measured | 1442 | Only Mistral Large 4 measured |
| LMArena Vision: diagrams | Not measured | 1288 | Only Mistral Large 4 measured |
| Neither model has a result on the other 10 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Muse Spark Open | 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 | Not measured | 10.0% | Only Mistral Large 4 measured |
| LMArena Text: math | Not measured | 1469 | Only Mistral Large 4 measured |
| LMArena Text: mathematical work | Not measured | 1462 | Only Mistral Large 4 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Muse Spark Open | Mistral Large 4 | Leader |
|---|---|---|---|
| MedCode (Vals AI) | Not measured | 40.7% | Only Mistral Large 4 measured |
| SimpleQA Verified | Not measured | 20.0% | Only Mistral Large 4 measured |
| LMArena Text: science | Not measured | 1448 | Only Mistral Large 4 measured |
| LMArena Text: medicine and healthcare | Not measured | 1433 | Only Mistral Large 4 measured |
| LMArena Text: legal and government | Not measured | 1425 | Only Mistral Large 4 measured |
| LMArena Text: business and finance | Not measured | 1439 | Only Mistral Large 4 measured |
| Neither model has a result on the other 11 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | Muse Spark Open | Mistral Large 4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1311 | 1258 | Muse Spark Open |
| Design Arena: UI components | Not measured | 1275 | Only Mistral Large 4 measured |
| Design Arena: game dev | 1290 | 1226 | Muse Spark Open |
| Design Arena: data viz | Not measured | 1274 | Only Mistral Large 4 measured |
| Design Arena: 3D | Not measured | 1253 | Only Mistral Large 4 measured |
| Design Arena: all code categories | Not measured | 1259 | Only Mistral Large 4 measured |
| Design Arena: SVG | Not measured | 1232 | Only Mistral Large 4 measured |
| Design Arena: ASCII art | Not measured | 1203 | Only Mistral Large 4 measured |
| LiveBench design | 60.3% | 65.6% | Mistral Large 4 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Muse Spark Open | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench data analysis | 60.2% | 76.5% | Mistral Large 4 |
| MedScribe (Vals AI) | Not measured | 80.4% | Only Mistral Large 4 measured |
| Long context reasoning (AA-LCR) | 78.3% | 81.3% | Mistral Large 4 |
| DTBench | Not measured | 88.2% | Only Mistral Large 4 measured |
| LMCA | Not measured | 35.8% | Only Mistral Large 4 measured |
| Surface Evolver Bench | Not measured | 28.1% | Only Mistral Large 4 measured |
| Furniture assembly | Not measured | 20.8% | Only Mistral Large 4 measured |
| LMArena Text | Not measured | 1431 | Only Mistral Large 4 measured |
| LMArena Text: instruction following | Not measured | 1422 | Only Mistral Large 4 measured |
| LMArena Text: creative writing | Not measured | 1363 | Only Mistral Large 4 measured |
| LMArena Vision | Not measured | 1272 | Only Mistral Large 4 measured |
| LMArena Text: English | Not measured | 1433 | Only Mistral Large 4 measured |
| LMArena Text: non-English | Not measured | 1422 | Only Mistral Large 4 measured |
| LMArena Text: Chinese | Not measured | 1492 | Only Mistral Large 4 measured |
| LMArena Text: Japanese | Not measured | 1415 | Only Mistral Large 4 measured |
| LMArena Text: French | Not measured | 1492 | Only Mistral Large 4 measured |
| LMArena Text: Spanish | Not measured | 1455 | Only Mistral Large 4 measured |
| LMArena Text: Russian | Not measured | 1417 | Only Mistral Large 4 measured |
| LMArena Text: multi-turn | Not measured | 1435 | Only Mistral Large 4 measured |
| LMArena Text: longer queries | Not measured | 1428 | Only Mistral Large 4 measured |
| LMArena Text: writing and language | Not measured | 1386 | Only Mistral Large 4 measured |
| LMArena Text: entertainment and media | Not measured | 1378 | Only Mistral Large 4 measured |
| LMArena Vision: English | Not measured | 1283 | Only Mistral Large 4 measured |
| LMArena Vision: reading text | Not measured | 1284 | Only Mistral Large 4 measured |
| Neither model has a result on the other 22 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Spark Open | 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 Open costs less
Repository review
50K input + 3K output tokens
Muse Spark Open costs less
Agent loop
200K input + 10K output tokens
Muse Spark Open 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 Open | Mistral Large 4 |
|---|---|---|
| Maker | Meta | Mistral AI |
| Weights | Open weights | No public weights listed |
| Released | October 15, 2026 | October 6, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $1.25 | $1.36 |
| Output $/Mtok | $4.25 | $4.18 |
| Coding index | 62.1 | 55.3 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Spark Open better than Mistral Large 4 for coding?
Pick Muse Spark Open for coding: it scores 62.1 on the Vibe Coding Index against 55.3 for Mistral Large 4. Pick Mistral Large 4 when output tokens cost 1.0x less, or when what matters is LMArena WebDev or Terminal-Bench 4 (Vals AI), where it leads.
Which is cheaper, Muse Spark Open or Mistral Large 4?
Muse Spark Open 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 neither of them.
Which has the bigger context window, Muse Spark Open or Mistral Large 4?
Neither: both take 1.05M tokens.
How many benchmarks is the Muse Spark Open vs Mistral Large 4 comparison based on?
24 benchmarks have a result for both models as of October 21, 2026. Muse Spark Open's coding index rests on 2 independent benchmarks and Mistral Large 4's on 2. Where only one model has a result, the page says so instead of naming a winner.