Muse Wonder vs o1
Updated October 21, 2026. 28 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Muse Wonder for coding: it scores 64.5 on the Vibe Coding Index against 61.7 for o1.
o1 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
- Shared results
- 28
- Muse Wonder only
- 32
- o1 only
- 40
- Like-for-like categories
- 6 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
Muse Wonder
Muse Wonder scores 64.5 against 61.7.
One benchmark behind each score
Intelligence
AA Intelligence Index
No call
Only o1 has a AA Intelligence Index result, 15.2.
Directional only
Reasoning
GPQA Diamond
No call
Only o1 has a GPQA Diamond result, 73.2%.
Directional only
Math
AIME
No call
Only o1 has a AIME result, 71.5%.
Directional only
Knowledge
MMLU Pro
No call
Only o1 has a MMLU Pro result, 83.5%.
Directional only
Web design
Design Arena: websites
No call
Only Muse Wonder has a Design Arena: websites result, 1361.
Directional only
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 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Wonder
Muse Wonder $0.014, o1 $0.045 per turn.
List prices
At a glance
- Coding index
- Muse Wonder 64.5 from 1 benchmark, o1 61.7 from 1 benchmark.
- Widest category
- Reasoning, 28.2 points apart on average over 4 shared benchmarks.
- Widest single gap
- Humanity's Last Exam (Artificial Analysis run): Muse Wonder 50.1% against o1 7.0%, 43.1 points apart on a 0 to 100 scale.
- Output price
- Muse Wonder $20.00 against o1 $60.00 per million output tokens, 3.0x apart.
- Context window
- Muse Wonder takes 1.05M tokens, o1 200K.
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 | o1 | Ties |
|---|---|---|---|---|
| Coding | 2 | 0 | ||
| Intelligence | 1 | 0 | ||
| Reasoning | 4 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| General | 15 | 0 | ||
| All shared boards | 28 | 0 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index20
| Benchmark | Muse Wonder | o1 | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 61.7% | Only o1 measured |
| LMArena WebDev | 1652 | Not measured | Only Muse Wonder measured |
| AA Coding Index | Not measured | 39.7 | Only o1 measured |
| LiveCodeBench (Vals AI) | Not measured | 50.3% | Only o1 measured |
| 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 | 67.9% | Only o1 measured |
| SciCode | 60.3% | Not measured | Only Muse Wonder measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 12.9% | Only o1 measured |
| WeirdML | Not measured | 46.1% | Only o1 measured |
| LMArena Text: coding | 1522 | 1367 | Muse Wonder |
| LMArena Text: software and IT | 1515 | 1366 | Muse Wonder |
| LMArena WebDev: React | 1641 | Not measured | Only Muse Wonder measured |
| LMArena WebDev: HTML | 1694 | Not measured | Only Muse Wonder measured |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Wonder | o1 | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 15.2 | Only o1 measured |
| Epoch Capabilities Index | 161.8 | 141.7 | Muse Wonder |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
| Benchmark | Muse Wonder | o1 | Leader |
|---|---|---|---|
| Design Arena: spreadsheets | 1236 | 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 | 62.6% | Only o1 measured |
| METR time horizons | Not measured | 51.1% | Only o1 measured |
| Vending-Bench 2 | $9,432 | Not measured | Only Muse Wonder measured |
| Neither model has a result on the other 26 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Muse Wonder | o1 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 73.2% | Only o1 measured |
| MysteryMechanism (Vals AI) | 27.5% | Not measured | Only Muse Wonder measured |
| MMMU Pro (Vals AI) | Not measured | 77.4% | Only o1 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 74.7% | Only o1 measured |
| Humanity's Last Exam (Artificial Analysis run) | 50.1% | 7.0% | Muse Wonder |
| GPQA Diamond (Epoch AI run) | Not measured | 76.8% | Only o1 measured |
| ARC-AGI | Not measured | 30.7% | Only o1 measured |
| SimpleBench | Not measured | 40.1% | Only o1 measured |
| Chess puzzles | Not measured | 10.0% | Only o1 measured |
| VPCT | Not measured | 37.0% | Only o1 measured |
| LMArena Text: hard prompts | 1506 | 1371 | Muse Wonder |
| LMArena Text: expert | 1513 | 1361 | Muse Wonder |
| LMArena Text: hard prompts in English | 1506 | 1372 | Muse Wonder |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Wonder | o1 | Leader |
|---|---|---|---|
| AIME | Not measured | 71.5% | Only o1 measured |
| MATH 500 (Vals AI) | Not measured | 90.4% | Only o1 measured |
| MGSM (Vals AI) | Not measured | 89.3% | Only o1 measured |
| OTIS Mock AIME | Not measured | 73.3% | Only o1 measured |
| FrontierMath, tiers 1 to 3 | Not measured | 14.7% | Only o1 measured |
| ProofBench | 84.0% | Not measured | Only Muse Wonder measured |
| MATH level 5 | Not measured | 94.7% | Only o1 measured |
| LMArena Text: math | 1486 | 1388 | Muse Wonder |
| LMArena Text: mathematical work | 1514 | 1390 | Muse Wonder |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Muse Wonder | o1 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 83.5% | Only o1 measured |
| LegalBench (Vals AI) | Not measured | 80.4% | Only o1 measured |
| TaxEval (Vals AI) | Not measured | 74.3% | Only o1 measured |
| MedQA (Vals AI) | Not measured | 96.5% | Only o1 measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 84.1% | Only o1 measured |
| SimpleQA Verified | Not measured | 41.1% | Only o1 measured |
| GeoBench | Not measured | 80.0% | Only o1 measured |
| LMArena Text: science | 1506 | 1369 | Muse Wonder |
| LMArena Text: medicine and healthcare | 1512 | 1355 | Muse Wonder |
| LMArena Text: legal and government | 1505 | 1368 | Muse Wonder |
| LMArena Text: business and finance | 1483 | 1328 | Muse Wonder |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Muse Wonder | o1 | Leader |
|---|---|---|---|
| Design Arena: websites | 1361 | Not measured | Only Muse Wonder measured |
| Design Arena: UI components | 1371 | Not measured | Only Muse Wonder measured |
| Design Arena: game dev | 1380 | Not measured | Only Muse Wonder measured |
| Design Arena: data viz | 1330 | Not measured | Only Muse Wonder measured |
| Design Arena: 3D | 1425 | Not measured | Only Muse Wonder measured |
| Design Arena: all code categories | 1370 | Not measured | Only Muse Wonder measured |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index150
| Benchmark | Muse Wonder | o1 | 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 | 70.3% | Only o1 measured |
| Long context reasoning (AA-LCR) | 80.7% | 65.0% | Muse Wonder |
| DTBench | 95.2% | 74.7% | Muse Wonder |
| LMCA | 56.8% | 22.3% | Muse Wonder |
| Fiction.LiveBench | Not measured | 83.3% | Only o1 measured |
| Creative writing (Lech Mazur) | Not measured | 70.2% | Only o1 measured |
| LMArena Text | 1502 | 1366 | Muse Wonder |
| LMArena Text: instruction following | 1491 | 1367 | Muse Wonder |
| LMArena Text: creative writing | 1491 | 1347 | Muse Wonder |
| LMArena Vision | Not measured | 1168 | Only o1 measured |
| LMArena Text: English | 1507 | 1372 | Muse Wonder |
| LMArena Text: non-English | 1492 | 1358 | Muse Wonder |
| LMArena Text: Chinese | 1537 | 1394 | Muse Wonder |
| LMArena Text: German | Not measured | 1337 | Only o1 measured |
| LMArena Text: Japanese | Not measured | 1346 | Only o1 measured |
| LMArena Text: Korean | Not measured | 1396 | Only o1 measured |
| LMArena Text: French | 1523 | 1344 | Muse Wonder |
| LMArena Text: Spanish | Not measured | 1345 | Only o1 measured |
| LMArena Text: Russian | 1522 | 1356 | Muse Wonder |
| LMArena Text: multi-turn | 1510 | 1355 | Muse Wonder |
| LMArena Text: longer queries | 1493 | 1378 | Muse Wonder |
| LMArena Text: writing and language | 1496 | 1360 | Muse Wonder |
| LMArena Text: entertainment and media | 1482 | 1358 | Muse Wonder |
| LMArena Vision: English | Not measured | 1162 | Only o1 measured |
| LMArena Vision: Chinese | Not measured | 1235 | Only o1 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 Wonder | o1 | 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 Wonder costs less
Repository review
50K input + 3K output tokens
Muse Wonder costs less
Agent loop
200K input + 10K output tokens
Muse Wonder 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 | OpenAI o1 |
|---|---|---|
| Maker | Meta | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | October 12, 2026 | December 17, 2024 |
| Context window | 1.05M | 200K |
| Input $/Mtok | $4.00 | $15.00 |
| Output $/Mtok | $20.00 | $60.00 |
| Coding index | 64.5 | 61.7 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Wonder better than o1 for coding?
Pick Muse Wonder for coding: it scores 64.5 on the Vibe Coding Index against 61.7 for o1. o1 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
Which is cheaper, Muse Wonder or o1?
Muse Wonder costs $4.00 per million input tokens and $20.00 per million output tokens; o1 costs $15.00 and $60.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Muse Wonder or o1?
Muse Wonder, with 1.05M tokens against 200K.
How many benchmarks is the Muse Wonder vs o1 comparison based on?
28 benchmarks have a result for both models as of October 21, 2026. Muse Wonder's coding index rests on 1 independent benchmark and o1's on 1. Where only one model has a result, the page says so instead of naming a winner.