Muse Ember vs Mistral Medium 3.5
Muse Ember leads Mistral Medium 3.5 on coding, 64.9 to 25.4 on the Vibe Coding Index, and Muse Ember costs 15.0x less per output token ($0.50 vs $7.50 per million). Updated November 14, 2026; 11 benchmarks have a result for both.
Muse Ember or Mistral Medium 3.5: which to pick
Pick Muse Ember for coding: it scores 64.9 on the Vibe Coding Index against 25.4 for Mistral Medium 3.5.
Mistral Medium 3.5 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
- Shared results
- 11
- Muse Ember only
- 4
- Mistral Medium 3.5 only
- 78
- Like-for-like categories
- 4 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 25.4.
3 benchmarks behind each score
Intelligence
AA Intelligence Index
No call
Only Mistral Medium 3.5 has a AA Intelligence Index result, 4.6.
Directional only
Agentic work
AA Agentic Index
No call
Only Mistral Medium 3.5 has a AA Agentic Index result, 7.0.
Directional only
Reasoning
GPQA Diamond
No call
Only Mistral Medium 3.5 has a GPQA Diamond result, 34.9%.
Directional only
Knowledge
MMLU Pro
No call
Only Mistral Medium 3.5 has a MMLU Pro result, 75.3%.
Directional only
Web design
Design Arena: websites
No call
Only Mistral Medium 3.5 has a Design Arena: websites result, 1134.
Directional only
General
Vals Index
No call
Only Muse Ember has a Vals Index result, 60.5%.
Directional only
Long documents
Listed context window
Muse Ember
Muse Ember takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Ember
Muse Ember $0.0003, Mistral Medium 3.5 $0.0053 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Mistral Medium 3.5 has the number, $6.02.
Directional only
At a glance
- Coding index
- Muse Ember 64.9 from 3 benchmarks, Mistral Medium 3.5 25.4 from 3 benchmarks.
- Widest category
- Coding, 50.5 points apart on average over 6 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Muse Ember 83.7% against Mistral Medium 3.5 2.9%, 80.8 points apart on a 0 to 100 scale.
- Output price
- Muse Ember $0.50 against Mistral Medium 3.5 $7.50 per million output tokens, 15.0x apart.
- Context window
- Muse Ember takes 1.05M tokens, Mistral Medium 3.5 262K.
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 Medium 3.5 | Ties |
|---|---|---|---|---|
| Coding | 6 | 0 | ||
| Agentic work | 2 | 0 | ||
| Reasoning | 2 | 0 | ||
| Knowledge | 1 | 0 | ||
| All shared boards | 11 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
| Benchmark | Muse Ember | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| LMArena WebDev | 1609 | 1263 | Muse Ember |
| AA Coding Index | Not measured | 46.9 | Only Mistral Medium 3.5 measured |
| SWE-bench Verified (Vals AI) | Not measured | 66.4% | Only Mistral Medium 3.5 measured |
| Terminal-Bench 4 (Vals AI) | 39.4% | Not measured | Only Muse Ember measured |
| Vibe Code Bench (Vals AI) | 83.7% | 2.9% | Muse Ember |
| Code migration (Vals AI) | Not measured | 5.1% | Only Mistral Medium 3.5 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 39.0% | Only Mistral Medium 3.5 measured |
| SciCode | Not measured | 40.2% | Only Mistral Medium 3.5 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 33.3% | Only Mistral Medium 3.5 measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | 40.9% | 0.0% | Muse Ember |
| FrontierCode 2.0 | 27.2% | 1.8% | Muse Ember |
| ALE-Bench | Not measured | 764.0 | Only Mistral Medium 3.5 measured |
| LMArena Text: coding | Not measured | 1461 | Only Mistral Medium 3.5 measured |
| LMArena Text: software and IT | Not measured | 1458 | Only Mistral Medium 3.5 measured |
| LMArena WebDev: React | 1616 | 1252 | Muse Ember |
| LMArena WebDev: HTML | 1621 | 1309 | Muse Ember |
| GameBench 2 | Not measured | 26.8 | Only Mistral Medium 3.5 measured |
| Neither model has a result on the other 35 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Muse Ember | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 4.6 | Only Mistral Medium 3.5 measured |
| Epoch Capabilities Index | Not measured | 141.6 | Only Mistral Medium 3.5 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Ember | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 7.0 | Only Mistral Medium 3.5 measured |
| Finance Agent (Vals AI) | Not measured | 32.1% | Only Mistral Medium 3.5 measured |
| Tax Agent Bench (Vals AI) | 38.2% | 4.5% | Muse Ember |
| Legal Research Bench (Vals AI) | 49.0% | 9.1% | Muse Ember |
| Harvey's Legal Agent Benchmark (Vals AI) | 25.0% | Not measured | Only Muse Ember measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 11.2% | Only Mistral Medium 3.5 measured |
| τ²-Bench Telecom | Not measured | 94.2% | Only Mistral Medium 3.5 measured |
| APEX-Agents | 64.3% | Not measured | Only Muse Ember measured |
| Neither model has a result on the other 36 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Ember | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 34.9% | Only Mistral Medium 3.5 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 74.8% | Only Mistral Medium 3.5 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 13.8% | Only Mistral Medium 3.5 measured |
| HLE-Diamond (Artificial Analysis run) | 25.1% | 4.7% | Muse Ember |
| CritPt v2, hard subset (Artificial Analysis run) | 39.0% | 0.5% | Muse Ember |
| LMArena Text: hard prompts | Not measured | 1436 | Only Mistral Medium 3.5 measured |
| LMArena Text: expert | Not measured | 1431 | Only Mistral Medium 3.5 measured |
| LMArena Text: hard prompts in English | Not measured | 1444 | Only Mistral Medium 3.5 measured |
| LMArena Vision: diagrams | Not measured | 1255 | Only Mistral Medium 3.5 measured |
| LMArena Vision: homework | Not measured | 1229 | Only Mistral Medium 3.5 measured |
| Kagi LLM Benchmark | Not measured | 41.4% | Only Mistral Medium 3.5 measured |
| Neither model has a result on the other 15 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Muse Ember | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| ProofBench | Not measured | 9.0% | Only Mistral Medium 3.5 measured |
| LMArena Text: math | Not measured | 1430 | Only Mistral Medium 3.5 measured |
| LMArena Text: mathematical work | Not measured | 1440 | Only Mistral Medium 3.5 measured |
| Neither model has a result on the other 11 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Ember | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 75.3% | Only Mistral Medium 3.5 measured |
| CaseLaw (Vals AI) | Not measured | 44.2% | Only Mistral Medium 3.5 measured |
| CorpFin (Vals AI) | Not measured | 58.8% | Only Mistral Medium 3.5 measured |
| TaxEval (Vals AI) | Not measured | 68.0% | Only Mistral Medium 3.5 measured |
| MortgageTax (Vals AI) | Not measured | 28.9% | Only Mistral Medium 3.5 measured |
| MedCode (Vals AI) | Not measured | 33.8% | Only Mistral Medium 3.5 measured |
| AA-Omniscience | 7.7 | -38.7 | Muse Ember |
| LMArena Text: science | Not measured | 1428 | Only Mistral Medium 3.5 measured |
| LMArena Text: medicine and healthcare | Not measured | 1407 | Only Mistral Medium 3.5 measured |
| LMArena Text: legal and government | Not measured | 1437 | Only Mistral Medium 3.5 measured |
| LMArena Text: business and finance | Not measured | 1426 | Only Mistral Medium 3.5 measured |
| Neither model has a result on the other 10 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Muse Ember | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1134 | Only Mistral Medium 3.5 measured |
| Design Arena: UI components | Not measured | 1069 | Only Mistral Medium 3.5 measured |
| Design Arena: game dev | Not measured | 1069 | Only Mistral Medium 3.5 measured |
| Design Arena: data viz | Not measured | 1117 | Only Mistral Medium 3.5 measured |
| Design Arena: 3D | Not measured | 1040 | Only Mistral Medium 3.5 measured |
| Design Arena: all code categories | Not measured | 1111 | Only Mistral Medium 3.5 measured |
| Design Arena: SVG | Not measured | 939 | Only Mistral Medium 3.5 measured |
| Design Arena: ASCII art | Not measured | 1057 | Only Mistral Medium 3.5 measured |
| Neither model has a result on the other 1 board here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index33 boards, none shared
| Benchmark | Muse Ember | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| Vals Index | 60.5% | Not measured | Only Muse Ember measured |
| SAGE (Vals AI) | Not measured | 72.0% | Only Mistral Medium 3.5 measured |
| MedScribe (Vals AI) | Not measured | 67.7% | Only Mistral Medium 3.5 measured |
| Vals Multimodal Index | Not measured | 34.8% | Only Mistral Medium 3.5 measured |
| IFBench | Not measured | 68.8% | Only Mistral Medium 3.5 measured |
| Long context reasoning (AA-LCR) | Not measured | 69.3% | Only Mistral Medium 3.5 measured |
| GDPval-AA | Not measured | 769 | Only Mistral Medium 3.5 measured |
| DTBench | Not measured | 75.5% | Only Mistral Medium 3.5 measured |
| LMCA | Not measured | 26.1% | Only Mistral Medium 3.5 measured |
| Surface Evolver Bench | Not measured | 26.9% | Only Mistral Medium 3.5 measured |
| LMArena Text | Not measured | 1421 | Only Mistral Medium 3.5 measured |
| LMArena Text: instruction following | Not measured | 1416 | Only Mistral Medium 3.5 measured |
| LMArena Text: creative writing | Not measured | 1374 | Only Mistral Medium 3.5 measured |
| LMArena Vision | Not measured | 1222 | Only Mistral Medium 3.5 measured |
| LMArena Text: English | Not measured | 1433 | Only Mistral Medium 3.5 measured |
| LMArena Text: non-English | Not measured | 1405 | Only Mistral Medium 3.5 measured |
| LMArena Text: Chinese | Not measured | 1444 | Only Mistral Medium 3.5 measured |
| LMArena Text: German | Not measured | 1460 | Only Mistral Medium 3.5 measured |
| LMArena Text: Korean | Not measured | 1383 | Only Mistral Medium 3.5 measured |
| LMArena Text: French | Not measured | 1448 | Only Mistral Medium 3.5 measured |
| LMArena Text: Spanish | Not measured | 1412 | Only Mistral Medium 3.5 measured |
| LMArena Text: Russian | Not measured | 1397 | Only Mistral Medium 3.5 measured |
| LMArena Text: Polish | Not measured | 1429 | Only Mistral Medium 3.5 measured |
| LMArena Text: multi-turn | Not measured | 1424 | Only Mistral Medium 3.5 measured |
| LMArena Text: longer queries | Not measured | 1415 | Only Mistral Medium 3.5 measured |
| LMArena Text: writing and language | Not measured | 1383 | Only Mistral Medium 3.5 measured |
| LMArena Text: entertainment and media | Not measured | 1383 | Only Mistral Medium 3.5 measured |
| LMArena Vision: English | Not measured | 1242 | Only Mistral Medium 3.5 measured |
| LMArena Vision: Chinese | Not measured | 1245 | Only Mistral Medium 3.5 measured |
| LMArena Vision: reading text | Not measured | 1233 | Only Mistral Medium 3.5 measured |
| LMArena Vision: humor | Not measured | 1218 | Only Mistral Medium 3.5 measured |
| LMArena Vision: creative writing | Not measured | 1199 | Only Mistral Medium 3.5 measured |
| EQ-Bench 4 | Not measured | 983 | Only Mistral Medium 3.5 measured |
| Neither model has a result on the other 16 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Ember | Mistral Medium 3.5 | 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 Medium 3.5 |
|---|---|---|
| Maker | Meta | Mistral AI |
| Weights | No public weights listed | Open weights |
| Released | November 9, 2026 | April 30, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $0.10 | $1.50 |
| Output $/Mtok | $0.50 | $7.50 |
| Coding index | 64.9 | 25.4 |
| Independent measurements behind it | 3 | 3 |
| Cost per solved task | Not computable | $6.02 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Ember better than Mistral Medium 3.5 for coding?
Pick Muse Ember for coding: it scores 64.9 on the Vibe Coding Index against 25.4 for Mistral Medium 3.5. Mistral Medium 3.5 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
Which is cheaper, Muse Ember or Mistral Medium 3.5?
Muse Ember costs $0.10 per million input tokens and $0.50 per million output tokens; Mistral Medium 3.5 costs $1.50 and $7.50. Cost per solved task is known for Mistral Medium 3.5 only.
Which has the bigger context window, Muse Ember or Mistral Medium 3.5?
Muse Ember, with 1.05M tokens against 262K.
How many benchmarks is the Muse Ember vs Mistral Medium 3.5 comparison based on?
11 benchmarks have a result for both models as of November 14, 2026. Muse Ember's coding index rests on 3 independent benchmarks and Mistral Medium 3.5's on 3. Where only one model has a result, the page says so instead of naming a winner.