Muse Wonder vs MiniMax M2
MiniMax M2 costs 19.6x less per output token than Muse Wonder ($1.02 vs $20.00 per million). Updated October 22, 2026; 34 benchmarks have a result for both.
Muse Wonder or MiniMax M2: which to pick
Only Muse Wonder has a coding score, 71.9 on the Vibe Coding Index; MiniMax M2 has none, so the two cannot be ranked on coding.
Pick MiniMax M2 for output tokens 19.6x cheaper ($1.02 vs $20.00 per million).
- Shared results
- 34
- Muse Wonder only
- 26
- MiniMax M2 only
- 16
- Like-for-like categories
- 7 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
No call
Only Muse Wonder has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only MiniMax M2 has a AA Intelligence Index result, 18.6.
Directional only
Web design
Design Arena: websites
Muse Wonder
Muse Wonder leads, 1362 against 1143.
Same board, both measured
General
Vals Index
No call
Only Muse Wonder has a Vals Index result, 64.9%.
Directional only
Long documents
Listed context window
Muse Wonder
Muse Wonder takes 1.05M tokens against 205K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M2
Muse Wonder $0.014, MiniMax M2 $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiniMax M2 has the number, $0.702.
Directional only
At a glance
- Coding index
- Muse Wonder 71.9 from 3 benchmarks, MiniMax M2 not benchmarked.
- Widest category
- Agentic work, 57.9 points apart on average over 1 shared benchmark.
- Widest single gap
- Vending-Bench 2: Muse Wonder $9,432 against MiniMax M2 $161, 57.9 points apart on a 0 to 100 scale.
- Output price
- Muse Wonder $20.00 against MiniMax M2 $1.02 per million output tokens, 19.6x apart.
- Context window
- Muse Wonder takes 1.05M tokens, MiniMax M2 205K.
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 | MiniMax M2 | Ties |
|---|---|---|---|---|
| Coding | 4 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 4 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| Web design | 6 | 0 | ||
| General | 13 | 0 | ||
| All shared boards | 34 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
| Benchmark | Muse Wonder | MiniMax M2 | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 61.0% | Only MiniMax M2 measured |
| LMArena WebDev | 1652 | 1297 | Muse Wonder |
| Terminal-Bench 4 (Vals AI) | 49.5% | Not measured | Only Muse Wonder measured |
| Vibe Code Bench (Vals AI) | 83.1% | Not measured | Only Muse Wonder measured |
| Code migration (Vals AI) | 62.5% | Not measured | Only Muse Wonder measured |
| IOI (Vals AI) | 66.9% | Not measured | Only Muse Wonder measured |
| SWE-bench Multimodal (Vals AI) | 45.6% | Not measured | Only Muse Wonder measured |
| Vibe Code Bench 1-100 (Vals AI) | 26.6% | Not measured | Only Muse Wonder measured |
| CyberBench (Vals AI) | 80.4% | Not measured | Only Muse Wonder measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 82.6% | Only MiniMax M2 measured |
| SciCode | 60.3% | Not measured | Only Muse Wonder measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 25.8% | Only MiniMax M2 measured |
| Terminal-Bench | Not measured | 30.0% | Only MiniMax M2 measured |
| LMArena Text: coding | 1522 | 1371 | Muse Wonder |
| LMArena Text: software and IT | 1515 | 1373 | Muse Wonder |
| LMArena WebDev: React | 1641 | Not measured | Only Muse Wonder measured |
| LMArena WebDev: HTML | 1694 | 1306 | Muse Wonder |
| Neither model has a result on the other 22 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Muse Wonder | MiniMax M2 | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 18.6 | Only MiniMax M2 measured |
| Epoch Capabilities Index | 161.8 | Not measured | Only Muse Wonder measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Wonder | MiniMax M2 | Leader |
|---|---|---|---|
| Design Arena: spreadsheets | 1243 | Not measured | Only Muse Wonder measured |
| Finance Agent (Vals AI) | 56.6% | Not measured | Only Muse Wonder measured |
| Tax Agent Bench (Vals AI) | 36.3% | Not measured | Only Muse Wonder measured |
| Legal Research Bench (Vals AI) | 50.5% | Not measured | Only Muse Wonder measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 23.8% | Not measured | Only Muse Wonder measured |
| Excel Modeling Benchmark (Vals AI) | 67.1% | Not measured | Only Muse Wonder measured |
| BioMysteryBench (Vals AI) | 67.0% | Not measured | Only Muse Wonder measured |
| Terminal-Bench-Science (Vals AI) | 22.9% | Not measured | Only Muse Wonder measured |
| Vals Science Index | 39.1% | Not measured | Only Muse Wonder measured |
| CUA-bench (Vals AI) | 7.2% | Not measured | Only Muse Wonder measured |
| τ²-Bench Telecom | Not measured | 86.8% | Only MiniMax M2 measured |
| Vending-Bench 2 | $9,432 | $161 | Muse Wonder |
| Neither model has a result on the other 29 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Muse Wonder | MiniMax M2 | Leader |
|---|---|---|---|
| MysteryMechanism (Vals AI) | 27.5% | Not measured | Only Muse Wonder measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 77.7% | Only MiniMax M2 measured |
| Humanity's Last Exam (Artificial Analysis run) | 50.1% | 13.7% | Muse Wonder |
| LMArena Text: hard prompts | 1506 | 1357 | Muse Wonder |
| LMArena Text: expert | 1513 | 1338 | Muse Wonder |
| LMArena Text: hard prompts in English | 1506 | 1376 | Muse Wonder |
| Kagi LLM Benchmark | Not measured | 57.8% | Only MiniMax M2 measured |
| Neither model has a result on the other 15 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Wonder | MiniMax M2 | Leader |
|---|---|---|---|
| AA Math Index | Not measured | 78.3 | Only MiniMax M2 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 78.3% | Only MiniMax M2 measured |
| ProofBench | 84.0% | Not measured | Only Muse Wonder measured |
| LMArena Text: math | 1486 | 1351 | Muse Wonder |
| LMArena Text: mathematical work | 1514 | 1368 | Muse Wonder |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Muse Wonder | MiniMax M2 | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | Not measured | 82.0% | Only MiniMax M2 measured |
| LMArena Text: science | 1506 | 1348 | Muse Wonder |
| LMArena Text: medicine and healthcare | 1512 | 1367 | Muse Wonder |
| LMArena Text: legal and government | 1505 | 1349 | Muse Wonder |
| LMArena Text: business and finance | 1483 | 1336 | Muse Wonder |
| Neither model has a result on the other 13 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Muse Wonder | MiniMax M2 | Leader |
|---|---|---|---|
| Design Arena: websites | 1362 | 1143 | Muse Wonder |
| Design Arena: UI components | 1379 | 1137 | Muse Wonder |
| Design Arena: game dev | 1376 | 1118 | Muse Wonder |
| Design Arena: data viz | 1317 | 1140 | Muse Wonder |
| Design Arena: 3D | 1427 | 1098 | Muse Wonder |
| Design Arena: all code categories | 1371 | 1135 | Muse Wonder |
| Design Arena: SVG | Not measured | 1100 | Only MiniMax M2 measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index130
| Benchmark | Muse Wonder | MiniMax M2 | Leader |
|---|---|---|---|
| Vals Index | 64.9% | Not measured | Only Muse Wonder measured |
| Public Benefits Bench (Vals AI) | 70.2% | Not measured | Only Muse Wonder measured |
| IFBench | Not measured | 72.3% | Only MiniMax M2 measured |
| Long context reasoning (AA-LCR) | 80.7% | 64.3% | Muse Wonder |
| DTBench | 95.2% | Not measured | Only Muse Wonder measured |
| LMCA | 56.8% | Not measured | Only Muse Wonder measured |
| LMArena Text | 1502 | 1340 | Muse Wonder |
| LMArena Text: instruction following | 1491 | 1329 | Muse Wonder |
| LMArena Text: creative writing | 1491 | 1286 | Muse Wonder |
| LMArena Text: English | 1507 | 1364 | Muse Wonder |
| LMArena Text: non-English | 1492 | 1313 | Muse Wonder |
| LMArena Text: Chinese | 1537 | 1366 | Muse Wonder |
| LMArena Text: German | Not measured | 1357 | Only MiniMax M2 measured |
| LMArena Text: French | 1523 | 1336 | Muse Wonder |
| LMArena Text: Spanish | Not measured | 1326 | Only MiniMax M2 measured |
| LMArena Text: Russian | 1522 | 1330 | Muse Wonder |
| LMArena Text: Polish | Not measured | 1312 | Only MiniMax M2 measured |
| LMArena Text: multi-turn | 1510 | 1361 | Muse Wonder |
| LMArena Text: longer queries | 1493 | 1331 | Muse Wonder |
| LMArena Text: writing and language | 1496 | 1295 | Muse Wonder |
| LMArena Text: entertainment and media | 1482 | 1298 | Muse Wonder |
| Neither model has a result on the other 25 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Wonder | MiniMax M2 | 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
MiniMax M2 costs less
Repository review
50K input + 3K output tokens
MiniMax M2 costs less
Agent loop
200K input + 10K output tokens
MiniMax M2 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 | MiniMax M2 |
|---|---|---|
| Maker | Meta | MiniMax |
| Weights | No public weights listed | Open weights |
| Released | October 12, 2026 | October 23, 2025 |
| Context window | 1.05M | 205K |
| Input $/Mtok | $4.00 | $0.255 |
| Output $/Mtok | $20.00 | $1.02 |
| Coding index | 71.9 | Not benchmarked |
| Independent measurements behind it | 3 | 1 |
| Cost per solved task | Not computable | $0.702 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Wonder better than MiniMax M2 for coding?
Only Muse Wonder has a coding score, 71.9 on the Vibe Coding Index; MiniMax M2 has none, so the two cannot be ranked on coding. Pick MiniMax M2 for output tokens 19.6x cheaper ($1.02 vs $20.00 per million).
Which is cheaper, Muse Wonder or MiniMax M2?
Muse Wonder costs $4.00 per million input tokens and $20.00 per million output tokens; MiniMax M2 costs $0.255 and $1.02. Cost per solved task is known for MiniMax M2 only.
Which has the bigger context window, Muse Wonder or MiniMax M2?
Muse Wonder, with 1.05M tokens against 205K.
How many benchmarks is the Muse Wonder vs MiniMax M2 comparison based on?
34 benchmarks have a result for both models as of October 22, 2026. Muse Wonder's coding index rests on 3 independent benchmarks and MiniMax M2's on 1. Where only one model has a result, the page says so instead of naming a winner.