Muse Ember vs MiMo-V2.6-Pro
Muse Ember leads MiMo-V2.6-Pro on coding, 64.9 to 61.8 on the Vibe Coding Index, and Muse Ember costs 1.7x less per output token ($0.50 vs $0.87 per million). Updated November 14, 2026; 15 benchmarks have a result for both.
Muse Ember or MiMo-V2.6-Pro: which to pick
Pick Muse Ember for coding: it scores 64.9 on the Vibe Coding Index against 61.8 for MiMo-V2.6-Pro, though on 3 benchmarks against 4.
Pick MiMo-V2.6-Pro for a larger context window (1.05M against 1.05M tokens) and work measured by LMArena WebDev or Vibe Code Bench (Vals AI), where it leads.
- Shared results
- 15
- Muse Ember only
- 0
- MiMo-V2.6-Pro only
- 67
- 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 61.8.
3 and 4 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only MiMo-V2.6-Pro has a AA Intelligence Index result, 29.9.
Directional only
Web design
Design Arena: websites
No call
Only MiMo-V2.6-Pro has a Design Arena: websites result, 1311.
Directional only
General
Vals Index
Muse Ember
Muse Ember leads, 60.5% against 57.8%.
Same board, both measured
Long documents
Listed context window
MiMo-V2.6-Pro
MiMo-V2.6-Pro takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Ember
Muse Ember $0.0003, MiMo-V2.6-Pro $0.0009 per turn.
List prices
At a glance
- Coding index
- Muse Ember 64.9 from 3 benchmarks, MiMo-V2.6-Pro 61.8 from 4 benchmarks.
- Widest category
- Reasoning, 7.5 points apart on average over 2 shared benchmarks.
- Widest single gap
- Harvey's Legal Agent Benchmark (Vals AI): Muse Ember 25.0% against MiMo-V2.6-Pro 13.8%, 11.2 points apart on a 0 to 100 scale.
- Output price
- Muse Ember $0.50 against MiMo-V2.6-Pro $0.87 per million output tokens, 1.7x apart.
- Context window
- Muse Ember takes 1.05M tokens, MiMo-V2.6-Pro 1.05M.
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 | MiMo-V2.6-Pro | Ties |
|---|---|---|---|---|
| Coding | 3 | 4 | ||
| Agentic work | 4 | 0 | ||
| Reasoning | 2 | 0 | ||
| Knowledge | 1 | 0 | ||
| General | 1 | 0 | ||
| All shared boards | 11 | 4 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index34
| Benchmark | Muse Ember | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 64.5% | Only MiMo-V2.6-Pro measured |
| LMArena WebDev | 1609 | 1625 | MiMo-V2.6-Pro |
| Terminal-Bench 4 (Vals AI) | 39.4% | 31.3% | Muse Ember |
| Vibe Code Bench (Vals AI) | 83.7% | 85.2% | MiMo-V2.6-Pro |
| Code migration (Vals AI) | Not measured | 43.0% | Only MiMo-V2.6-Pro measured |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only MiMo-V2.6-Pro measured |
| IOI (Vals AI) | Not measured | 39.3% | Only MiMo-V2.6-Pro measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 67.8% | Only MiMo-V2.6-Pro measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 41.3% | Only MiMo-V2.6-Pro measured |
| CyberBench (Vals AI) | Not measured | 72.9% | Only MiMo-V2.6-Pro measured |
| SciCode | Not measured | 60.9% | Only MiMo-V2.6-Pro measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | 40.9% | 34.8% | Muse Ember |
| FrontierCode 2.0 | 27.2% | 24.0% | Muse Ember |
| ALE-Bench | Not measured | 1158.1 | Only MiMo-V2.6-Pro measured |
| LMArena Text: coding | Not measured | 1534 | Only MiMo-V2.6-Pro measured |
| LMArena Text: software and IT | Not measured | 1528 | Only MiMo-V2.6-Pro measured |
| LMArena WebDev: React | 1616 | 1637 | MiMo-V2.6-Pro |
| LMArena WebDev: HTML | 1621 | 1622 | MiMo-V2.6-Pro |
| LMArena WebDev: from an image | Not measured | 1597 | Only MiMo-V2.6-Pro measured |
| GameBench 2 | Not measured | 70.9 | Only MiMo-V2.6-Pro measured |
| Terminal-Bench 4.0 | Not measured | 27.0% | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 31 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Muse Ember | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 29.9 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Muse Ember | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | Not measured | 1270 | Only MiMo-V2.6-Pro measured |
| LiveBench research | Not measured | 84.8% | Only MiMo-V2.6-Pro measured |
| LiveBench browser | Not measured | 77.3% | Only MiMo-V2.6-Pro measured |
| LiveBench long agentic | Not measured | 36.4% | Only MiMo-V2.6-Pro measured |
| SREBench (Vals AI) | Not measured | 3.0% | Only MiMo-V2.6-Pro measured |
| Finance Agent (Vals AI) | Not measured | 57.3% | Only MiMo-V2.6-Pro measured |
| Tax Agent Bench (Vals AI) | 38.2% | 32.4% | Muse Ember |
| Legal Research Bench (Vals AI) | 49.0% | 47.1% | Muse Ember |
| Harvey's Legal Agent Benchmark (Vals AI) | 25.0% | 13.8% | Muse Ember |
| Excel Modeling Benchmark (Vals AI) | Not measured | 62.9% | Only MiMo-V2.6-Pro measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 2.9% | Only MiMo-V2.6-Pro measured |
| APEX-Agents | 64.3% | 54.4% | Muse Ember |
| Neither model has a result on the other 32 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Ember | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| LiveBench reasoning | Not measured | 79.6% | Only MiMo-V2.6-Pro measured |
| MysteryMechanism (Vals AI) | Not measured | 15.3% | Only MiMo-V2.6-Pro measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 49.4% | Only MiMo-V2.6-Pro measured |
| HLE-Diamond (Artificial Analysis run) | 25.1% | 15.2% | Muse Ember |
| CritPt v2, hard subset (Artificial Analysis run) | 39.0% | 34.0% | Muse Ember |
| LMArena Text: hard prompts | Not measured | 1511 | Only MiMo-V2.6-Pro measured |
| LMArena Text: expert | Not measured | 1539 | Only MiMo-V2.6-Pro measured |
| LMArena Text: hard prompts in English | Not measured | 1517 | Only MiMo-V2.6-Pro measured |
| LMArena Vision: diagrams | Not measured | 1283 | Only MiMo-V2.6-Pro measured |
| LMArena Vision: homework | Not measured | 1265 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 16 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Muse Ember | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| ProofBench | Not measured | 70.0% | Only MiMo-V2.6-Pro measured |
| LMArena Text: math | Not measured | 1495 | Only MiMo-V2.6-Pro measured |
| LMArena Text: mathematical work | Not measured | 1514 | Only MiMo-V2.6-Pro 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 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| MedCode (Vals AI) | Not measured | 45.0% | Only MiMo-V2.6-Pro measured |
| AA-Omniscience | 7.7 | -4.5 | Muse Ember |
| LMArena Text: science | Not measured | 1504 | Only MiMo-V2.6-Pro measured |
| LMArena Text: medicine and healthcare | Not measured | 1492 | Only MiMo-V2.6-Pro measured |
| LMArena Text: legal and government | Not measured | 1486 | Only MiMo-V2.6-Pro measured |
| LMArena Text: business and finance | Not measured | 1466 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 15 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Muse Ember | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1311 | Only MiMo-V2.6-Pro measured |
| Design Arena: UI components | Not measured | 1333 | Only MiMo-V2.6-Pro measured |
| Design Arena: game dev | Not measured | 1312 | Only MiMo-V2.6-Pro measured |
| Design Arena: data viz | Not measured | 1336 | Only MiMo-V2.6-Pro measured |
| Design Arena: 3D | Not measured | 1319 | Only MiMo-V2.6-Pro measured |
| Design Arena: all code categories | Not measured | 1316 | Only MiMo-V2.6-Pro measured |
| Design Arena: SVG | Not measured | 1292 | Only MiMo-V2.6-Pro measured |
| LiveBench design | Not measured | 74.3% | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Ember | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Vals Index | 60.5% | 57.8% | Muse Ember |
| LiveBench data analysis | Not measured | 72.3% | Only MiMo-V2.6-Pro measured |
| Public Benefits Bench (Vals AI) | Not measured | 68.9% | Only MiMo-V2.6-Pro measured |
| SAGE (Vals AI) | Not measured | 84.5% | Only MiMo-V2.6-Pro measured |
| MedScribe (Vals AI) | Not measured | 88.3% | Only MiMo-V2.6-Pro measured |
| Long context reasoning (AA-LCR) | Not measured | 86.3% | Only MiMo-V2.6-Pro measured |
| GDPval-AA | Not measured | 1692 | Only MiMo-V2.6-Pro measured |
| LMArena Text | Not measured | 1492 | Only MiMo-V2.6-Pro measured |
| LMArena Text: instruction following | Not measured | 1492 | Only MiMo-V2.6-Pro measured |
| LMArena Text: creative writing | Not measured | 1468 | Only MiMo-V2.6-Pro measured |
| LMArena Vision | Not measured | 1266 | Only MiMo-V2.6-Pro measured |
| LMArena Text: English | Not measured | 1503 | Only MiMo-V2.6-Pro measured |
| LMArena Text: non-English | Not measured | 1475 | Only MiMo-V2.6-Pro measured |
| LMArena Text: Chinese | Not measured | 1528 | Only MiMo-V2.6-Pro measured |
| LMArena Text: Russian | Not measured | 1477 | Only MiMo-V2.6-Pro measured |
| LMArena Text: multi-turn | Not measured | 1471 | Only MiMo-V2.6-Pro measured |
| LMArena Text: longer queries | Not measured | 1503 | Only MiMo-V2.6-Pro measured |
| LMArena Text: writing and language | Not measured | 1469 | Only MiMo-V2.6-Pro measured |
| LMArena Text: entertainment and media | Not measured | 1463 | Only MiMo-V2.6-Pro measured |
| LMArena Vision: English | Not measured | 1270 | Only MiMo-V2.6-Pro measured |
| LMArena Vision: reading text | Not measured | 1274 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 28 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Ember | MiMo-V2.6-Pro | 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 | Xiaomi MiMo-V2.6-Pro |
|---|---|---|
| Maker | Meta | Xiaomi |
| Weights | No public weights listed | Open weights |
| Released | November 9, 2026 | September 21, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.10 | $0.435 |
| Output $/Mtok | $0.50 | $0.87 |
| Coding index | 64.9 | 61.8 |
| Independent measurements behind it | 3 | 4 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Ember better than MiMo-V2.6-Pro for coding?
Pick Muse Ember for coding: it scores 64.9 on the Vibe Coding Index against 61.8 for MiMo-V2.6-Pro, though on 3 benchmarks against 4. Pick MiMo-V2.6-Pro for a larger context window (1.05M against 1.05M tokens) and work measured by LMArena WebDev or Vibe Code Bench (Vals AI), where it leads.
Which is cheaper, Muse Ember or MiMo-V2.6-Pro?
Muse Ember costs $0.10 per million input tokens and $0.50 per million output tokens; MiMo-V2.6-Pro costs $0.435 and $0.87. Cost per solved task is known for neither of them.
Which has the bigger context window, Muse Ember or MiMo-V2.6-Pro?
MiMo-V2.6-Pro, with 1.05M tokens against 1.05M.
How many benchmarks is the Muse Ember vs MiMo-V2.6-Pro 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 MiMo-V2.6-Pro's on 4. Where only one model has a result, the page says so instead of naming a winner.