Muse Ember vs MiniMax M3
Muse Ember leads MiniMax M3 on coding, 64.9 to 33.6 on the Vibe Coding Index, and Muse Ember costs 2.4x less per output token ($0.50 vs $1.20 per million). Updated November 14, 2026; 13 benchmarks have a result for both.
Muse Ember or MiniMax M3: which to pick
Pick Muse Ember for coding: it scores 64.9 on the Vibe Coding Index against 33.6 for MiniMax M3, though on 3 benchmarks against 5.
MiniMax M3 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
- Shared results
- 13
- Muse Ember only
- 2
- MiniMax M3 only
- 105
- 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 33.6.
3 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only MiniMax M3 has a AA Intelligence Index result, 18.9.
Directional only
Agentic work
AA Agentic Index
No call
Only MiniMax M3 has a AA Agentic Index result, 29.5.
Directional only
Reasoning
GPQA Diamond
No call
Only MiniMax M3 has a GPQA Diamond result, 92.7%.
Directional only
Knowledge
MMLU Pro
No call
Only MiniMax M3 has a MMLU Pro result, 84.2%.
Directional only
Web design
Design Arena: websites
No call
Only MiniMax M3 has a Design Arena: websites result, 1249.
Directional only
General
Vals Index
No call
Only Muse Ember has a Vals Index result, 60.5%.
Directional only
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, MiniMax M3 $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiniMax M3 has the number, $0.56.
Directional only
At a glance
- Coding index
- Muse Ember 64.9 from 3 benchmarks, MiniMax M3 33.6 from 5 benchmarks.
- Widest category
- Coding, 27.6 points apart on average over 7 shared benchmarks.
- Widest single gap
- Terminal-Bench 4 (Vals AI): Muse Ember 39.4% against MiniMax M3 1.0%, 51.2 points apart on a 0 to 100 scale.
- Output price
- Muse Ember $0.50 against MiniMax M3 $1.20 per million output tokens, 2.4x 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 | MiniMax M3 | Ties |
|---|---|---|---|---|
| Coding | 7 | 0 | ||
| Agentic work | 3 | 0 | ||
| Reasoning | 2 | 0 | ||
| Knowledge | 1 | 0 | ||
| All shared boards | 13 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
| Benchmark | Muse Ember | MiniMax M3 | Leader |
|---|---|---|---|
| LMArena WebDev | 1609 | 1484 | Muse Ember |
| AA Coding Index | Not measured | 58.6 | Only MiniMax M3 measured |
| LiveCodeBench (Vals AI) | Not measured | 82.2% | Only MiniMax M3 measured |
| SWE-bench Verified (Vals AI) | Not measured | 75.0% | Only MiniMax M3 measured |
| Terminal-Bench 4 (Vals AI) | 39.4% | 1.0% | Muse Ember |
| Vibe Code Bench (Vals AI) | 83.7% | 47.6% | Muse Ember |
| Code migration (Vals AI) | Not measured | 19.9% | Only MiniMax M3 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 53.6% | Only MiniMax M3 measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 33.3% | Only MiniMax M3 measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 9.2% | Only MiniMax M3 measured |
| SkillsBench (Vals AI) | Not measured | 51.5% | Only MiniMax M3 measured |
| CyberBench (Vals AI) | Not measured | 65.0% | Only MiniMax M3 measured |
| SciCode | Not measured | 47.1% | Only MiniMax M3 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 42.4% | Only MiniMax M3 measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | 40.9% | 2.0% | Muse Ember |
| FrontierCode 2.0 | 27.2% | 21.9% | Muse Ember |
| FrontierCode | Not measured | 14.7% | Only MiniMax M3 measured |
| ALE-Bench | Not measured | 640.0 | Only MiniMax M3 measured |
| LMArena Text: coding | Not measured | 1468 | Only MiniMax M3 measured |
| LMArena Text: software and IT | Not measured | 1463 | Only MiniMax M3 measured |
| LMArena WebDev: React | 1616 | 1479 | Muse Ember |
| LMArena WebDev: HTML | 1621 | 1460 | Muse Ember |
| LMArena WebDev: from an image | Not measured | 1473 | Only MiniMax M3 measured |
| GameBench 2 | Not measured | 29.0 | Only MiniMax M3 measured |
| Terminal-Bench 4.0 | Not measured | 7.3% | Only MiniMax M3 measured |
| Neither model has a result on the other 27 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Muse Ember | MiniMax M3 | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 18.9 | Only MiniMax M3 measured |
| Epoch Capabilities Index | Not measured | 147.7 | Only MiniMax M3 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Muse Ember | MiniMax M3 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 29.5 | Only MiniMax M3 measured |
| Design Arena: agents building web apps | Not measured | 1186 | Only MiniMax M3 measured |
| Design Arena: agents building full-stack apps | Not measured | 1175 | Only MiniMax M3 measured |
| Design Arena: agents building mobile apps | Not measured | 1169 | Only MiniMax M3 measured |
| Design Arena: agents building Android apps | Not measured | 1156 | Only MiniMax M3 measured |
| Design Arena: agents building games | Not measured | 1110 | Only MiniMax M3 measured |
| Design Arena: HTML slides | Not measured | 1076 | Only MiniMax M3 measured |
| Design Arena: PowerPoint slides | Not measured | 1171 | Only MiniMax M3 measured |
| Design Arena: spreadsheets | Not measured | 1159 | Only MiniMax M3 measured |
| Finance Agent (Vals AI) | Not measured | 48.3% | Only MiniMax M3 measured |
| Tax Agent Bench (Vals AI) | 38.2% | 20.6% | Muse Ember |
| Legal Research Bench (Vals AI) | 49.0% | 29.8% | Muse Ember |
| Harvey's Legal Agent Benchmark (Vals AI) | 25.0% | Not measured | Only Muse Ember measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 47.8% | Only MiniMax M3 measured |
| τ²-Bench Telecom | Not measured | 88.9% | Only MiniMax M3 measured |
| APEX-Agents | 64.3% | 37.7% | Muse Ember |
| OSWorld 2.0 | Not measured | 4.6% | Only MiniMax M3 measured |
| Vending-Bench 2 | Not measured | $2,158 | Only MiniMax M3 measured |
| Neither model has a result on the other 26 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Ember | MiniMax M3 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 92.7% | Only MiniMax M3 measured |
| MMMU Pro (Vals AI) | Not measured | 81.2% | Only MiniMax M3 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 92.9% | Only MiniMax M3 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 39.0% | Only MiniMax M3 measured |
| HLE-Diamond (Artificial Analysis run) | 25.1% | 16.0% | Muse Ember |
| CritPt v2, hard subset (Artificial Analysis run) | 39.0% | 28.0% | Muse Ember |
| GPQA Diamond (Epoch AI run) | Not measured | 90.9% | Only MiniMax M3 measured |
| SimpleBench | Not measured | 45.8% | Only MiniMax M3 measured |
| Chess puzzles | Not measured | 17.0% | Only MiniMax M3 measured |
| Mystery game puzzles | Not measured | 8.0% | Only MiniMax M3 measured |
| LMArena Text: hard prompts | Not measured | 1442 | Only MiniMax M3 measured |
| LMArena Text: expert | Not measured | 1460 | Only MiniMax M3 measured |
| LMArena Text: hard prompts in English | Not measured | 1452 | Only MiniMax M3 measured |
| LMArena Vision: diagrams | Not measured | 1266 | Only MiniMax M3 measured |
| LMArena Vision: homework | Not measured | 1266 | Only MiniMax M3 measured |
| Neither model has a result on the other 11 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Muse Ember | MiniMax M3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 71.1% | Only MiniMax M3 measured |
| ProofBench | Not measured | 18.0% | Only MiniMax M3 measured |
| LMArena Text: math | Not measured | 1423 | Only MiniMax M3 measured |
| LMArena Text: mathematical work | Not measured | 1443 | Only MiniMax M3 measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Ember | MiniMax M3 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 84.2% | Only MiniMax M3 measured |
| LegalBench (Vals AI) | Not measured | 85.4% | Only MiniMax M3 measured |
| CorpFin (Vals AI) | Not measured | 68.1% | Only MiniMax M3 measured |
| TaxEval (Vals AI) | Not measured | 72.7% | Only MiniMax M3 measured |
| MortgageTax (Vals AI) | Not measured | 68.4% | Only MiniMax M3 measured |
| MedCode (Vals AI) | Not measured | 46.3% | Only MiniMax M3 measured |
| AA-Omniscience | 7.7 | -5.5 | Muse Ember |
| LMArena Text: science | Not measured | 1446 | Only MiniMax M3 measured |
| LMArena Text: medicine and healthcare | Not measured | 1433 | Only MiniMax M3 measured |
| LMArena Text: legal and government | Not measured | 1430 | Only MiniMax M3 measured |
| LMArena Text: business and finance | Not measured | 1431 | Only MiniMax M3 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 | MiniMax M3 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1249 | Only MiniMax M3 measured |
| Design Arena: UI components | Not measured | 1235 | Only MiniMax M3 measured |
| Design Arena: game dev | Not measured | 1200 | Only MiniMax M3 measured |
| Design Arena: data viz | Not measured | 1229 | Only MiniMax M3 measured |
| Design Arena: 3D | Not measured | 1189 | Only MiniMax M3 measured |
| Design Arena: all code categories | Not measured | 1236 | Only MiniMax M3 measured |
| Design Arena: SVG | Not measured | 1146 | Only MiniMax M3 measured |
| Design Arena: ASCII art | Not measured | 1149 | Only MiniMax M3 measured |
| Neither model has a result on the other 1 board here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index37 boards, none shared
| Benchmark | Muse Ember | MiniMax M3 | Leader |
|---|---|---|---|
| Vals Index | 60.5% | Not measured | Only Muse Ember measured |
| Public Benefits Bench (Vals AI) | Not measured | 64.1% | Only MiniMax M3 measured |
| SAGE (Vals AI) | Not measured | 85.5% | Only MiniMax M3 measured |
| MedScribe (Vals AI) | Not measured | 87.3% | Only MiniMax M3 measured |
| Vals Multimodal Index | Not measured | 60.0% | Only MiniMax M3 measured |
| IFBench | Not measured | 82.9% | Only MiniMax M3 measured |
| Long context reasoning (AA-LCR) | Not measured | 83.0% | Only MiniMax M3 measured |
| GDPval-AA | Not measured | 1250 | Only MiniMax M3 measured |
| DTBench | Not measured | 78.9% | Only MiniMax M3 measured |
| LMCA | Not measured | 33.7% | Only MiniMax M3 measured |
| Surface Evolver Bench | Not measured | 55.0% | Only MiniMax M3 measured |
| LMArena Text | Not measured | 1428 | Only MiniMax M3 measured |
| LMArena Text: instruction following | Not measured | 1428 | Only MiniMax M3 measured |
| LMArena Text: creative writing | Not measured | 1395 | Only MiniMax M3 measured |
| LMArena Vision | Not measured | 1249 | Only MiniMax M3 measured |
| LMArena Text: English | Not measured | 1440 | Only MiniMax M3 measured |
| LMArena Text: non-English | Not measured | 1414 | Only MiniMax M3 measured |
| LMArena Text: Chinese | Not measured | 1465 | Only MiniMax M3 measured |
| LMArena Text: German | Not measured | 1429 | Only MiniMax M3 measured |
| LMArena Text: Japanese | Not measured | 1363 | Only MiniMax M3 measured |
| LMArena Text: Korean | Not measured | 1365 | Only MiniMax M3 measured |
| LMArena Text: French | Not measured | 1439 | Only MiniMax M3 measured |
| LMArena Text: Spanish | Not measured | 1424 | Only MiniMax M3 measured |
| LMArena Text: Russian | Not measured | 1422 | Only MiniMax M3 measured |
| LMArena Text: Polish | Not measured | 1417 | Only MiniMax M3 measured |
| LMArena Text: multi-turn | Not measured | 1439 | Only MiniMax M3 measured |
| LMArena Text: longer queries | Not measured | 1440 | Only MiniMax M3 measured |
| LMArena Text: writing and language | Not measured | 1411 | Only MiniMax M3 measured |
| LMArena Text: entertainment and media | Not measured | 1398 | Only MiniMax M3 measured |
| LMArena Vision: English | Not measured | 1260 | Only MiniMax M3 measured |
| LMArena Vision: Chinese | Not measured | 1310 | Only MiniMax M3 measured |
| LMArena Vision: reading text | Not measured | 1256 | Only MiniMax M3 measured |
| LMArena Vision: humor | Not measured | 1235 | Only MiniMax M3 measured |
| LMArena Vision: recognizing things | Not measured | 1196 | Only MiniMax M3 measured |
| LMArena Vision: creative writing | Not measured | 1232 | Only MiniMax M3 measured |
| LMArena Document | Not measured | 1437 | Only MiniMax M3 measured |
| EQ-Bench 4 | Not measured | 1140 | Only MiniMax M3 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 Ember | MiniMax M3 | 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 | MiniMax M3 |
|---|---|---|
| Maker | Meta | MiniMax |
| Weights | No public weights listed | Open weights |
| Released | November 9, 2026 | May 31, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.10 | $0.30 |
| Output $/Mtok | $0.50 | $1.20 |
| Coding index | 64.9 | 33.6 |
| Independent measurements behind it | 3 | 5 |
| Cost per solved task | Not computable | $0.56 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Ember better than MiniMax M3 for coding?
Pick Muse Ember for coding: it scores 64.9 on the Vibe Coding Index against 33.6 for MiniMax M3, though on 3 benchmarks against 5. MiniMax M3 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
Which is cheaper, Muse Ember or MiniMax M3?
Muse Ember costs $0.10 per million input tokens and $0.50 per million output tokens; MiniMax M3 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M3 only.
Which has the bigger context window, Muse Ember or MiniMax M3?
Neither: both take 1.05M tokens.
How many benchmarks is the Muse Ember vs MiniMax M3 comparison based on?
13 benchmarks have a result for both models as of November 14, 2026. Muse Ember's coding index rests on 3 independent benchmarks and MiniMax M3's on 5. Where only one model has a result, the page says so instead of naming a winner.