Muse Wonder vs MiMo-V2.6-Pro
Updated October 21, 2026. 50 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick MiMo-V2.6-Pro for coding: it scores 72.6 on the Vibe Coding Index against 64.5 for Muse Wonder.
Pick Muse Wonder when what matters is LMArena WebDev or Terminal-Bench 4 (Vals AI), where it leads.
- Shared results
- 50
- Muse Wonder only
- 10
- MiMo-V2.6-Pro only
- 23
- Like-for-like categories
- 7 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
MiMo-V2.6-Pro
MiMo-V2.6-Pro scores 72.6 against 64.5.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only MiMo-V2.6-Pro has a AA Intelligence Index result, 46.3.
Directional only
Web design
Design Arena: websites
Muse Wonder
Muse Wonder leads, 1361 against 1308.
Same board, both measured
General
Vals Index
Muse Wonder
Muse Wonder leads, 64.9% 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
MiMo-V2.6-Pro
Muse Wonder $0.014, MiMo-V2.6-Pro $0.0009 per turn.
List prices
At a glance
- Coding index
- Muse Wonder 64.5 from 1 benchmark, MiMo-V2.6-Pro 72.6 from 2 benchmarks.
- Widest category
- Coding, 7.3 points apart on average over 12 shared benchmarks.
- Widest single gap
- IOI (Vals AI): Muse Wonder 66.9% against MiMo-V2.6-Pro 39.3%, 27.6 points apart on a 0 to 100 scale.
- Output price
- Muse Wonder $20.00 against MiMo-V2.6-Pro $0.87 per million output tokens, 23.0x apart.
- Context window
- Muse Wonder 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 Wonder | Bars | MiMo-V2.6-Pro | Ties |
|---|---|---|---|---|
| Coding | 8 | 4 | ||
| Agentic work | 5 | 1 | ||
| Reasoning | 2 | 3 | ||
| Math | 2 | 1 | ||
| Knowledge | 4 | 0 | ||
| Web design | 5 | 1 | ||
| General | 11 | 3 | ||
| All shared boards | 37 | 13 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index84
| Benchmark | Muse Wonder | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 81.5% | Only MiMo-V2.6-Pro measured |
| LMArena WebDev | 1652 | 1625 | Muse Wonder |
| Terminal-Bench 4 (Vals AI) | 49.5% | 31.3% | Muse Wonder |
| Vibe Code Bench (Vals AI) | 83.1% | 85.2% | MiMo-V2.6-Pro |
| Code migration (Vals AI) | 62.5% | 43.0% | Muse Wonder |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only MiMo-V2.6-Pro measured |
| IOI (Vals AI) | 66.9% | 39.3% | Muse Wonder |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 67.8% | Only MiMo-V2.6-Pro measured |
| SWE-bench Multimodal (Vals AI) | 45.6% | 41.3% | Muse Wonder |
| Vibe Code Bench 1-100 (Vals AI) | 26.6% | Not measured | Only Muse Wonder measured |
| CyberBench (Vals AI) | 80.4% | 72.9% | Muse Wonder |
| SciCode | 60.3% | 60.9% | MiMo-V2.6-Pro |
| ALE-Bench | Not measured | 1158.1 | Only MiMo-V2.6-Pro measured |
| LMArena Text: coding | 1522 | 1533 | MiMo-V2.6-Pro |
| LMArena Text: software and IT | 1515 | 1528 | MiMo-V2.6-Pro |
| LMArena WebDev: React | 1641 | 1639 | Muse Wonder |
| LMArena WebDev: HTML | 1694 | 1616 | Muse Wonder |
| LMArena WebDev: from an image | Not measured | 1598 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 20 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Muse Wonder | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 46.3 | Only MiMo-V2.6-Pro measured |
| Epoch Capabilities Index | 161.8 | Not measured | Only Muse Wonder measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | Muse Wonder | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | Not measured | 1291 | Only MiMo-V2.6-Pro measured |
| Design Arena: spreadsheets | 1236 | Not measured | Only Muse Wonder measured |
| LiveBench research | Not measured | 76.7% | Only MiMo-V2.6-Pro measured |
| LiveBench browser | Not measured | 88.0% | Only MiMo-V2.6-Pro measured |
| LiveBench long agentic | Not measured | 47.5% | Only MiMo-V2.6-Pro measured |
| SREBench (Vals AI) | Not measured | 3.0% | Only MiMo-V2.6-Pro measured |
| Finance Agent (Vals AI) | 56.6% | 57.3% | MiMo-V2.6-Pro |
| Tax Agent Bench (Vals AI) | 36.3% | 32.4% | Muse Wonder |
| Legal Research Bench (Vals AI) | 50.5% | 47.1% | Muse Wonder |
| Harvey's Legal Agent Benchmark (Vals AI) | 23.8% | 13.8% | Muse Wonder |
| Excel Modeling Benchmark (Vals AI) | 67.1% | 62.9% | Muse Wonder |
| BioMysteryBench (Vals AI) | 67.0% | Not measured | Only Muse Wonder measured |
| Terminal-Bench-Science (Vals AI) | 22.9% | 2.9% | Muse Wonder |
| Vals Science Index | 39.1% | Not measured | Only Muse Wonder measured |
| CUA-bench (Vals AI) | 7.2% | Not measured | Only Muse Wonder measured |
| APEX-Agents | Not measured | 54.4% | Only MiMo-V2.6-Pro measured |
| Vending-Bench 2 | $9,432 | Not measured | Only Muse Wonder measured |
| Neither model has a result on the other 22 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index23
| Benchmark | Muse Wonder | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| LiveBench reasoning | Not measured | 79.6% | Only MiMo-V2.6-Pro measured |
| MysteryMechanism (Vals AI) | 27.5% | 15.3% | Muse Wonder |
| Humanity's Last Exam (Artificial Analysis run) | 50.1% | 49.4% | Muse Wonder |
| LMArena Text: hard prompts | 1506 | 1511 | MiMo-V2.6-Pro |
| LMArena Text: expert | 1513 | 1541 | MiMo-V2.6-Pro |
| LMArena Text: hard prompts in English | 1506 | 1520 | MiMo-V2.6-Pro |
| LMArena Vision: diagrams | Not measured | 1281 | Only MiMo-V2.6-Pro measured |
| LMArena Vision: homework | Not measured | 1264 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 13 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | Muse Wonder | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| ProofBench | 84.0% | 70.0% | Muse Wonder |
| LMArena Text: math | 1486 | 1500 | MiMo-V2.6-Pro |
| LMArena Text: mathematical work | 1514 | 1511 | Muse Wonder |
| Neither model has a result on the other 10 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Muse Wonder | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| MedCode (Vals AI) | Not measured | 45.0% | Only MiMo-V2.6-Pro measured |
| LMArena Text: science | 1506 | 1506 | Muse Wonder |
| LMArena Text: medicine and healthcare | 1512 | 1497 | Muse Wonder |
| LMArena Text: legal and government | 1505 | 1485 | Muse Wonder |
| LMArena Text: business and finance | 1483 | 1468 | Muse Wonder |
| Neither model has a result on the other 12 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | Muse Wonder | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Design Arena: websites | 1361 | 1308 | Muse Wonder |
| Design Arena: UI components | 1371 | 1338 | Muse Wonder |
| Design Arena: game dev | 1380 | 1314 | Muse Wonder |
| Design Arena: data viz | 1330 | 1337 | MiMo-V2.6-Pro |
| Design Arena: 3D | 1425 | 1330 | Muse Wonder |
| Design Arena: all code categories | 1370 | 1317 | Muse Wonder |
| LiveBench design | Not measured | 78.5% | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index113
| Benchmark | Muse Wonder | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Vals Index | 64.9% | 57.8% | Muse Wonder |
| LiveBench data analysis | Not measured | 72.3% | Only MiMo-V2.6-Pro measured |
| Public Benefits Bench (Vals AI) | 70.2% | 68.9% | Muse Wonder |
| SAGE (Vals AI) | Not measured | 45.0% | Only MiMo-V2.6-Pro measured |
| MedScribe (Vals AI) | Not measured | 88.3% | Only MiMo-V2.6-Pro measured |
| Long context reasoning (AA-LCR) | 80.7% | 86.3% | MiMo-V2.6-Pro |
| DTBench | 95.2% | Not measured | Only Muse Wonder measured |
| LMCA | 56.8% | Not measured | Only Muse Wonder measured |
| LMArena Text | 1502 | 1491 | Muse Wonder |
| LMArena Text: instruction following | 1491 | 1491 | MiMo-V2.6-Pro |
| LMArena Text: creative writing | 1491 | 1466 | Muse Wonder |
| LMArena Vision | Not measured | 1263 | Only MiMo-V2.6-Pro measured |
| LMArena Text: English | 1507 | 1504 | Muse Wonder |
| LMArena Text: non-English | 1492 | 1474 | Muse Wonder |
| LMArena Text: Chinese | 1537 | 1529 | Muse Wonder |
| LMArena Text: French | 1523 | Not measured | Only Muse Wonder measured |
| LMArena Text: Russian | 1522 | 1479 | Muse Wonder |
| LMArena Text: multi-turn | 1510 | 1466 | Muse Wonder |
| LMArena Text: longer queries | 1493 | 1501 | MiMo-V2.6-Pro |
| LMArena Text: writing and language | 1496 | 1470 | Muse Wonder |
| LMArena Text: entertainment and media | 1482 | 1465 | Muse Wonder |
| LMArena Vision: English | Not measured | 1268 | Only MiMo-V2.6-Pro measured |
| LMArena Vision: reading text | Not measured | 1270 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 23 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Wonder | 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
MiMo-V2.6-Pro costs less
Repository review
50K input + 3K output tokens
MiMo-V2.6-Pro costs less
Agent loop
200K input + 10K output tokens
MiMo-V2.6-Pro 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 Wonder | Xiaomi MiMo-V2.6-Pro |
|---|---|---|
| Maker | Meta | Xiaomi |
| Weights | No public weights listed | Open weights |
| Released | October 12, 2026 | September 21, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $4.00 | $0.435 |
| Output $/Mtok | $20.00 | $0.87 |
| Coding index | 64.5 | 72.6 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Wonder better than MiMo-V2.6-Pro for coding?
Pick MiMo-V2.6-Pro for coding: it scores 72.6 on the Vibe Coding Index against 64.5 for Muse Wonder. Pick Muse Wonder when what matters is LMArena WebDev or Terminal-Bench 4 (Vals AI), where it leads.
Which is cheaper, Muse Wonder or MiMo-V2.6-Pro?
Muse Wonder costs $4.00 per million input tokens and $20.00 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 Wonder or MiMo-V2.6-Pro?
MiMo-V2.6-Pro, with 1.05M tokens against 1.05M.
How many benchmarks is the Muse Wonder vs MiMo-V2.6-Pro comparison based on?
50 benchmarks have a result for both models as of October 21, 2026. Muse Wonder's coding index rests on 1 independent benchmark and MiMo-V2.6-Pro's on 2. Where only one model has a result, the page says so instead of naming a winner.