Muse Ember vs Mistral Large 4
Muse Ember leads Mistral Large 4 on coding, 64.9 to 60.9 on the Vibe Coding Index, and Muse Ember costs 4.2x less per output token ($0.50 vs $2.10 per million). Updated November 14, 2026; 15 benchmarks have a result for both.
Muse Ember or Mistral Large 4: which to pick
Pick Muse Ember for coding: it scores 64.9 on the Vibe Coding Index against 60.9 for Mistral Large 4, though on 3 benchmarks against 5.
Mistral Large 4 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
- Shared results
- 15
- Muse Ember only
- 0
- Mistral Large 4 only
- 75
- 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
Muse Ember
Muse Ember scores 64.9 against 60.9.
3 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only Mistral Large 4 has a AA Intelligence Index result, 26.1.
Directional only
Web design
Design Arena: websites
No call
Only Mistral Large 4 has a Design Arena: websites result, 1258.
Directional only
General
Vals Index
Muse Ember
Muse Ember leads, 60.5% against 56.5%.
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 Ember
Muse Ember $0.0003, Mistral Large 4 $0.0018 per turn.
List prices
At a glance
- Coding index
- Muse Ember 64.9 from 3 benchmarks, Mistral Large 4 60.9 from 5 benchmarks.
- Widest category
- Agentic work, 10.3 points apart on average over 4 shared benchmarks.
- Widest single gap
- Terminal-Bench 4.0 (Artificial Analysis run): Muse Ember 40.9% against Mistral Large 4 24.7%, 16.2 points apart on a 0 to 100 scale.
- Output price
- Muse Ember $0.50 against Mistral Large 4 $2.10 per million output tokens, 4.2x 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 Ember | Bars | Mistral Large 4 | Ties |
|---|---|---|---|---|
| Coding | 7 | 0 | ||
| Agentic work | 4 | 0 | ||
| Reasoning | 2 | 0 | ||
| Knowledge | 1 | 0 | ||
| General | 1 | 0 | ||
| All shared boards | 15 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
| Benchmark | Muse Ember | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 79.4% | Only Mistral Large 4 measured |
| LMArena WebDev | 1609 | 1564 | Muse Ember |
| Terminal-Bench 4 (Vals AI) | 39.4% | 27.8% | Muse Ember |
| Vibe Code Bench (Vals AI) | 83.7% | 81.6% | Muse Ember |
| Code migration (Vals AI) | Not measured | 30.6% | Only Mistral Large 4 measured |
| 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 |
| Terminal-Bench 4.0 (Artificial Analysis run) | 40.9% | 24.7% | Muse Ember |
| FrontierCode 2.0 | 27.2% | 15.0% | Muse Ember |
| FrontierCode | Not measured | 39.4% | Only Mistral Large 4 measured |
| MirrorCode | Not measured | 40.0% | Only Mistral Large 4 measured |
| ALE-Bench | Not measured | 1213.2 | Only Mistral Large 4 measured |
| LMArena Text: coding | Not measured | 1457 | Only Mistral Large 4 measured |
| LMArena Text: software and IT | Not measured | 1458 | Only Mistral Large 4 measured |
| LMArena WebDev: React | 1616 | 1570 | Muse Ember |
| LMArena WebDev: HTML | 1621 | 1549 | Muse Ember |
| GameBench 2 | Not measured | 57.6 | Only Mistral Large 4 measured |
| Terminal-Bench 4.0 | Not measured | 27.9% | Only Mistral Large 4 measured |
| Neither model has a result on the other 33 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Muse Ember | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 26.1 | Only Mistral Large 4 measured |
| Epoch Capabilities Index | Not measured | 154.6 | Only Mistral Large 4 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Muse Ember | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench research | Not measured | 80.3% | Only Mistral Large 4 measured |
| LiveBench browser | Not measured | 17.4% | Only Mistral Large 4 measured |
| LiveBench long agentic | Not measured | 24.7% | Only Mistral Large 4 measured |
| Finance Agent (Vals AI) | Not measured | 54.7% | Only Mistral Large 4 measured |
| Tax Agent Bench (Vals AI) | 38.2% | 30.7% | Muse Ember |
| Legal Research Bench (Vals AI) | 49.0% | 35.6% | Muse Ember |
| Harvey's Legal Agent Benchmark (Vals AI) | 25.0% | 17.5% | Muse Ember |
| Excel Modeling Benchmark (Vals AI) | Not measured | 56.2% | Only Mistral Large 4 measured |
| BioMysteryBench (Vals AI) | Not measured | 67.0% | Only Mistral Large 4 measured |
| APEX-Agents | 64.3% | 51.6% | Muse Ember |
| Neither model has a result on the other 34 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Ember | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench reasoning | Not measured | 85.2% | Only Mistral Large 4 measured |
| MysteryMechanism (Vals AI) | Not measured | 12.2% | Only Mistral Large 4 measured |
| HLE-Diamond (Artificial Analysis run) | 25.1% | 17.3% | Muse Ember |
| CritPt v2, hard subset (Artificial Analysis run) | 39.0% | 27.0% | Muse Ember |
| 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 | 1434 | Only Mistral Large 4 measured |
| LMArena Text: expert | Not measured | 1446 | Only Mistral Large 4 measured |
| LMArena Text: hard prompts in English | Not measured | 1441 | Only Mistral Large 4 measured |
| LMArena Vision: diagrams | Not measured | 1272 | Only Mistral Large 4 measured |
| LMArena Vision: homework | Not measured | 1266 | Only Mistral Large 4 measured |
| Neither model has a result on the other 14 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Muse Ember | 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 | 1456 | Only Mistral Large 4 measured |
| LMArena Text: mathematical work | Not measured | 1450 | Only Mistral Large 4 measured |
| MathArena | Not measured | 21.1% | Only Mistral Large 4 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Ember | Mistral Large 4 | Leader |
|---|---|---|---|
| MedCode (Vals AI) | Not measured | 40.7% | Only Mistral Large 4 measured |
| AA-Omniscience | 7.7 | 5.1 | Muse Ember |
| SimpleQA Verified | Not measured | 20.0% | Only Mistral Large 4 measured |
| LMArena Text: science | Not measured | 1432 | Only Mistral Large 4 measured |
| LMArena Text: medicine and healthcare | Not measured | 1391 | Only Mistral Large 4 measured |
| LMArena Text: legal and government | Not measured | 1428 | Only Mistral Large 4 measured |
| LMArena Text: business and finance | Not measured | 1434 | Only Mistral Large 4 measured |
| Neither model has a result on the other 14 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Muse Ember | Mistral Large 4 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1258 | Only Mistral Large 4 measured |
| Design Arena: UI components | Not measured | 1278 | Only Mistral Large 4 measured |
| Design Arena: game dev | Not measured | 1204 | Only Mistral Large 4 measured |
| Design Arena: data viz | Not measured | 1273 | Only Mistral Large 4 measured |
| Design Arena: 3D | Not measured | 1238 | Only Mistral Large 4 measured |
| Design Arena: all code categories | Not measured | 1255 | Only Mistral Large 4 measured |
| Design Arena: SVG | Not measured | 1222 | Only Mistral Large 4 measured |
| Design Arena: ASCII art | Not measured | 1203 | Only Mistral Large 4 measured |
| LiveBench design | Not measured | 76.3% | Only Mistral Large 4 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Ember | Mistral Large 4 | Leader |
|---|---|---|---|
| Vals Index | 60.5% | 56.5% | Muse Ember |
| LiveBench data analysis | Not measured | 76.6% | Only Mistral Large 4 measured |
| MedScribe (Vals AI) | Not measured | 80.4% | Only Mistral Large 4 measured |
| 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 | 1411 | Only Mistral Large 4 measured |
| LMArena Text: instruction following | Not measured | 1409 | Only Mistral Large 4 measured |
| LMArena Text: creative writing | Not measured | 1343 | Only Mistral Large 4 measured |
| LMArena Vision | Not measured | 1244 | Only Mistral Large 4 measured |
| LMArena Text: English | Not measured | 1424 | Only Mistral Large 4 measured |
| LMArena Text: non-English | Not measured | 1397 | Only Mistral Large 4 measured |
| LMArena Text: Chinese | Not measured | 1457 | Only Mistral Large 4 measured |
| LMArena Text: French | Not measured | 1432 | Only Mistral Large 4 measured |
| LMArena Text: Spanish | Not measured | 1454 | Only Mistral Large 4 measured |
| LMArena Text: Russian | Not measured | 1414 | Only Mistral Large 4 measured |
| LMArena Text: multi-turn | Not measured | 1421 | Only Mistral Large 4 measured |
| LMArena Text: longer queries | Not measured | 1404 | Only Mistral Large 4 measured |
| LMArena Text: writing and language | Not measured | 1370 | Only Mistral Large 4 measured |
| LMArena Text: entertainment and media | Not measured | 1363 | Only Mistral Large 4 measured |
| LMArena Vision: English | Not measured | 1254 | Only Mistral Large 4 measured |
| LMArena Vision: reading text | Not measured | 1254 | Only Mistral Large 4 measured |
| LMArena Vision: creative writing | Not measured | 1186 | Only Mistral Large 4 measured |
| Neither model has a result on the other 25 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Ember | 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 Ember costs less
Repository review
50K input + 3K output tokens
Muse Ember costs less
Agent loop
200K input + 10K output tokens
Muse Ember 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 Ember | Mistral Large 4 |
|---|---|---|
| Maker | Meta | Mistral AI |
| Weights | No public weights listed | Open weights |
| Released | November 9, 2026 | October 6, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.10 | $0.70 |
| Output $/Mtok | $0.50 | $2.10 |
| Coding index | 64.9 | 60.9 |
| Independent measurements behind it | 3 | 5 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Ember better than Mistral Large 4 for coding?
Pick Muse Ember for coding: it scores 64.9 on the Vibe Coding Index against 60.9 for Mistral Large 4, though on 3 benchmarks against 5. Mistral Large 4 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
Which is cheaper, Muse Ember or Mistral Large 4?
Muse Ember costs $0.10 per million input tokens and $0.50 per million output tokens; Mistral Large 4 costs $0.70 and $2.10. Cost per solved task is known for neither of them.
Which has the bigger context window, Muse Ember or Mistral Large 4?
Neither: both take 1.05M tokens.
How many benchmarks is the Muse Ember vs Mistral Large 4 comparison based on?
15 benchmarks have a result for both models as of November 14, 2026. Muse Ember'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.