Muse Ember vs MiMo-V2.5
Muse Ember leads MiMo-V2.5 on coding, 64.9 to 50.0 on the Vibe Coding Index, and Muse Ember costs 4.0x less per output token ($0.50 vs $2.00 per million). Updated November 14, 2026; 7 benchmarks have a result for both.
Muse Ember or MiMo-V2.5: which to pick
Pick Muse Ember for coding: it scores 64.9 on the Vibe Coding Index against 50.0 for MiMo-V2.5.
MiMo-V2.5 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
- Shared results
- 7
- Muse Ember only
- 8
- MiMo-V2.5 only
- 75
- Like-for-like categories
- 2 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 50.0.
3 benchmarks behind each score
Agentic work
AA Agentic Index
No call
Only MiMo-V2.5 has a AA Agentic Index result, 15.8.
Directional only
Reasoning
GPQA Diamond
No call
Only MiMo-V2.5 has a GPQA Diamond result, 81.6%.
Directional only
Knowledge
MMLU Pro
No call
Only MiMo-V2.5 has a MMLU Pro result, 82.9%.
Directional only
Web design
Design Arena: websites
No call
Only MiMo-V2.5 has a Design Arena: websites result, 1260.
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 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Ember
Muse Ember $0.0003, MiMo-V2.5 $0.0014 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiMo-V2.5 has the number, $0.01.
Directional only
At a glance
- Coding index
- Muse Ember 64.9 from 3 benchmarks, MiMo-V2.5 50.0 from 3 benchmarks.
- Widest category
- Agentic work, 35.2 points apart on average over 2 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Muse Ember 83.7% against MiMo-V2.5 42.2%, 41.5 points apart on a 0 to 100 scale.
- Output price
- Muse Ember $0.50 against MiMo-V2.5 $2.00 per million output tokens, 4.0x apart.
- Context window
- Muse Ember takes 1.05M tokens, MiMo-V2.5 1M.
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-V2.5 | Ties |
|---|---|---|---|---|
| Coding | 5 | 0 | ||
| Agentic work | 2 | 0 | ||
| All shared boards | 7 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
| Benchmark | Muse Ember | MiMo-V2.5 | Leader |
|---|---|---|---|
| LMArena WebDev | 1609 | 1438 | Muse Ember |
| AA Coding Index | Not measured | 56.8 | Only MiMo-V2.5 measured |
| LiveCodeBench (Vals AI) | Not measured | 81.5% | Only MiMo-V2.5 measured |
| SWE-bench Verified (Vals AI) | Not measured | 71.0% | Only MiMo-V2.5 measured |
| Terminal-Bench 4 (Vals AI) | 39.4% | Not measured | Only Muse Ember measured |
| Vibe Code Bench (Vals AI) | 83.7% | 42.2% | Muse Ember |
| Code migration (Vals AI) | Not measured | 14.2% | Only MiMo-V2.5 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 60.7% | Only MiMo-V2.5 measured |
| SciCode | Not measured | 43.9% | Only MiMo-V2.5 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 41.7% | Only MiMo-V2.5 measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | 40.9% | 0.0% | Muse Ember |
| FrontierCode 2.0 | 27.2% | Not measured | Only Muse Ember measured |
| ALE-Bench | Not measured | 514.0 | Only MiMo-V2.5 measured |
| LMArena Text: coding | Not measured | 1469 | Only MiMo-V2.5 measured |
| LMArena Text: software and IT | Not measured | 1463 | Only MiMo-V2.5 measured |
| LMArena WebDev: React | 1616 | 1423 | Muse Ember |
| LMArena WebDev: HTML | 1621 | 1429 | Muse Ember |
| GameBench 2 | Not measured | 24.1 | Only MiMo-V2.5 measured |
| Neither model has a result on the other 34 boards here | |||
IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Ember | MiMo-V2.5 | Leader |
|---|---|---|---|
| Neither model has a result on 2 boards here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Ember | MiMo-V2.5 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 15.8 | Only MiMo-V2.5 measured |
| Finance Agent (Vals AI) | Not measured | 36.7% | Only MiMo-V2.5 measured |
| Tax Agent Bench (Vals AI) | 38.2% | 7.8% | 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 | 55.1% | Only MiMo-V2.5 measured |
| τ²-Bench Telecom | Not measured | 90.6% | Only MiMo-V2.5 measured |
| APEX-Agents | 64.3% | Not measured | Only Muse Ember measured |
| Toolathlon-Verified | Not measured | 49.1% | Only MiMo-V2.5 measured |
| Neither model has a result on the other 35 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
| Benchmark | Muse Ember | MiMo-V2.5 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 81.6% | Only MiMo-V2.5 measured |
| MMMU Pro (Vals AI) | Not measured | 80.0% | Only MiMo-V2.5 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 84.9% | Only MiMo-V2.5 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 27.2% | Only MiMo-V2.5 measured |
| HLE-Diamond (Artificial Analysis run) | 25.1% | Not measured | Only Muse Ember measured |
| CritPt v2, hard subset (Artificial Analysis run) | 39.0% | Not measured | Only Muse Ember measured |
| LMArena Text: hard prompts | Not measured | 1450 | Only MiMo-V2.5 measured |
| LMArena Text: expert | Not measured | 1460 | Only MiMo-V2.5 measured |
| LMArena Text: hard prompts in English | Not measured | 1461 | Only MiMo-V2.5 measured |
| LMArena Vision: diagrams | Not measured | 1270 | Only MiMo-V2.5 measured |
| LMArena Vision: homework | Not measured | 1261 | Only MiMo-V2.5 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 | MiMo-V2.5 | Leader |
|---|---|---|---|
| ProofBench | Not measured | 16.0% | Only MiMo-V2.5 measured |
| LMArena Text: math | Not measured | 1436 | Only MiMo-V2.5 measured |
| LMArena Text: mathematical work | Not measured | 1449 | Only MiMo-V2.5 measured |
| Neither model has a result on the other 11 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
| Benchmark | Muse Ember | MiMo-V2.5 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 82.9% | Only MiMo-V2.5 measured |
| LegalBench (Vals AI) | Not measured | 78.9% | Only MiMo-V2.5 measured |
| CorpFin (Vals AI) | Not measured | 59.9% | Only MiMo-V2.5 measured |
| TaxEval (Vals AI) | Not measured | 71.8% | Only MiMo-V2.5 measured |
| MortgageTax (Vals AI) | Not measured | 59.3% | Only MiMo-V2.5 measured |
| MedCode (Vals AI) | Not measured | 31.9% | Only MiMo-V2.5 measured |
| AA-Omniscience | 7.7 | Not measured | Only Muse Ember measured |
| LMArena Text: science | Not measured | 1439 | Only MiMo-V2.5 measured |
| LMArena Text: medicine and healthcare | Not measured | 1431 | Only MiMo-V2.5 measured |
| LMArena Text: legal and government | Not measured | 1423 | Only MiMo-V2.5 measured |
| LMArena Text: business and finance | Not measured | 1432 | Only MiMo-V2.5 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 | MiMo-V2.5 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1260 | Only MiMo-V2.5 measured |
| Design Arena: UI components | Not measured | 1249 | Only MiMo-V2.5 measured |
| Design Arena: game dev | Not measured | 1242 | Only MiMo-V2.5 measured |
| Design Arena: data viz | Not measured | 1249 | Only MiMo-V2.5 measured |
| Design Arena: 3D | Not measured | 1197 | Only MiMo-V2.5 measured |
| Design Arena: all code categories | Not measured | 1252 | Only MiMo-V2.5 measured |
| Design Arena: SVG | Not measured | 1175 | Only MiMo-V2.5 measured |
| Design Arena: ASCII art | Not measured | 1139 | Only MiMo-V2.5 measured |
| Neither model has a result on the other 1 board here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index30 boards, none shared
| Benchmark | Muse Ember | MiMo-V2.5 | Leader |
|---|---|---|---|
| Vals Index | 60.5% | Not measured | Only Muse Ember measured |
| MedScribe (Vals AI) | Not measured | 72.2% | Only MiMo-V2.5 measured |
| Vals Multimodal Index | Not measured | 52.8% | Only MiMo-V2.5 measured |
| IFBench | Not measured | 67.1% | Only MiMo-V2.5 measured |
| Long context reasoning (AA-LCR) | Not measured | 73.0% | Only MiMo-V2.5 measured |
| GDPval-AA | Not measured | 1004 | Only MiMo-V2.5 measured |
| LMArena Text | Not measured | 1427 | Only MiMo-V2.5 measured |
| LMArena Text: instruction following | Not measured | 1434 | Only MiMo-V2.5 measured |
| LMArena Text: creative writing | Not measured | 1391 | Only MiMo-V2.5 measured |
| LMArena Vision | Not measured | 1248 | Only MiMo-V2.5 measured |
| LMArena Text: English | Not measured | 1447 | Only MiMo-V2.5 measured |
| LMArena Text: non-English | Not measured | 1404 | Only MiMo-V2.5 measured |
| LMArena Text: Chinese | Not measured | 1470 | Only MiMo-V2.5 measured |
| LMArena Text: German | Not measured | 1419 | Only MiMo-V2.5 measured |
| LMArena Text: Japanese | Not measured | 1305 | Only MiMo-V2.5 measured |
| LMArena Text: Korean | Not measured | 1356 | Only MiMo-V2.5 measured |
| LMArena Text: French | Not measured | 1450 | Only MiMo-V2.5 measured |
| LMArena Text: Spanish | Not measured | 1416 | Only MiMo-V2.5 measured |
| LMArena Text: Russian | Not measured | 1395 | Only MiMo-V2.5 measured |
| LMArena Text: Polish | Not measured | 1410 | Only MiMo-V2.5 measured |
| LMArena Text: multi-turn | Not measured | 1445 | Only MiMo-V2.5 measured |
| LMArena Text: longer queries | Not measured | 1445 | Only MiMo-V2.5 measured |
| LMArena Text: writing and language | Not measured | 1408 | Only MiMo-V2.5 measured |
| LMArena Text: entertainment and media | Not measured | 1399 | Only MiMo-V2.5 measured |
| LMArena Vision: English | Not measured | 1259 | Only MiMo-V2.5 measured |
| LMArena Vision: Chinese | Not measured | 1324 | Only MiMo-V2.5 measured |
| LMArena Vision: reading text | Not measured | 1257 | Only MiMo-V2.5 measured |
| LMArena Vision: humor | Not measured | 1226 | Only MiMo-V2.5 measured |
| LMArena Vision: recognizing things | Not measured | 1195 | Only MiMo-V2.5 measured |
| LMArena Vision: creative writing | Not measured | 1230 | Only MiMo-V2.5 measured |
| Neither model has a result on the other 19 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Ember | MiMo-V2.5 | 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 | Xiaomi MiMo-V2.5 |
|---|---|---|
| Maker | Meta | Xiaomi |
| Weights | No public weights listed | Open weights |
| Released | November 9, 2026 | April 22, 2026 |
| Context window | 1.05M | 1M |
| Input $/Mtok | $0.10 | $0.40 |
| Output $/Mtok | $0.50 | $2.00 |
| Coding index | 64.9 | 50.0 |
| Independent measurements behind it | 3 | 3 |
| Cost per solved task | Not computable | $0.01 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Ember better than MiMo-V2.5 for coding?
Pick Muse Ember for coding: it scores 64.9 on the Vibe Coding Index against 50.0 for MiMo-V2.5. MiMo-V2.5 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
Which is cheaper, Muse Ember or MiMo-V2.5?
Muse Ember costs $0.10 per million input tokens and $0.50 per million output tokens; MiMo-V2.5 costs $0.40 and $2.00. Cost per solved task is known for MiMo-V2.5 only.
Which has the bigger context window, Muse Ember or MiMo-V2.5?
Muse Ember, with 1.05M tokens against 1M.
How many benchmarks is the Muse Ember vs MiMo-V2.5 comparison based on?
7 benchmarks have a result for both models as of November 14, 2026. Muse Ember's coding index rests on 3 independent benchmarks and MiMo-V2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.