Muse Wonder vs o4 Mini High
Updated October 21, 2026. 0 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
- Coding
- 71.9
- Overall
- No data
- Output $/M
- $20.00
- Coding
- No data
- Overall
- No data
- Output $/M
- $4.40
Decision reading
Only Muse Wonder has a coding score, 71.9 on the Vibe Coding Index; o4 Mini High has none, so the two cannot be ranked on coding.
o4 Mini High has the edge where output tokens cost 4.5x less.
- Shared results
- 0
- Muse Wonder only
- 60
- o4 Mini High only
- 2
- Like-for-like categories
- 0 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, six public coding benchmarks
No call
Only Muse Wonder has a coding score, so no call is made.
One side not measured
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
o4 Mini High
Muse Wonder $0.014, o4 Mini High $0.0033 per turn.
List prices
At a glance
- Coding index
- Muse Wonder 71.9 from 3 benchmarks, o4 Mini High not benchmarked.
- Widest category
- No category has a result for both models.
- Widest single gap
- No benchmark has a result for both models.
- Output price
- Muse Wonder $20.00 against o4 Mini High $4.40 per million output tokens, 4.5x apart.
- Context window
- Muse Wonder takes 1.05M tokens, o4 Mini High 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.
CodingDirectional onlySix of these boards feed the Vibe Coding Index14 boards, none shared
| Benchmark | Muse Wonder | o4 Mini High | Leader |
|---|---|---|---|
| LMArena WebDev | 1652 | Not measured | Only Muse Wonder 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 |
| SciCode | 60.3% | Not measured | Only Muse Wonder measured |
| ALE-Bench | Not measured | 826.2 | Only o4 Mini High measured |
| LMArena Text: coding | 1522 | Not measured | Only Muse Wonder measured |
| LMArena Text: software and IT | 1515 | Not measured | Only Muse Wonder measured |
| 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 24 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Muse Wonder | o4 Mini High | Leader |
|---|---|---|---|
| Epoch Capabilities Index | 161.8 | Not measured | Only Muse Wonder measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
| Benchmark | Muse Wonder | o4 Mini High | Leader |
|---|---|---|---|
| Design Arena: spreadsheets | 1232 | 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 |
| GDPval | Not measured | 25.3% | Only o4 Mini High measured |
| Vending-Bench 2 | $9,432 | Not measured | Only Muse Wonder measured |
| Neither model has a result on the other 27 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Muse Wonder | o4 Mini High | Leader |
|---|---|---|---|
| MysteryMechanism (Vals AI) | 27.5% | Not measured | Only Muse Wonder measured |
| Humanity's Last Exam (Artificial Analysis run) | 50.1% | Not measured | Only Muse Wonder measured |
| LMArena Text: hard prompts | 1506 | Not measured | Only Muse Wonder measured |
| LMArena Text: expert | 1513 | Not measured | Only Muse Wonder measured |
| LMArena Text: hard prompts in English | 1506 | Not measured | Only Muse Wonder 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 Wonder | o4 Mini High | Leader |
|---|---|---|---|
| ProofBench | 84.0% | Not measured | Only Muse Wonder measured |
| LMArena Text: math | 1486 | Not measured | Only Muse Wonder measured |
| LMArena Text: mathematical work | 1514 | Not measured | Only Muse Wonder measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Muse Wonder | o4 Mini High | Leader |
|---|---|---|---|
| LMArena Text: science | 1506 | Not measured | Only Muse Wonder measured |
| LMArena Text: medicine and healthcare | 1512 | Not measured | Only Muse Wonder measured |
| LMArena Text: legal and government | 1505 | Not measured | Only Muse Wonder measured |
| LMArena Text: business and finance | 1483 | Not measured | Only Muse Wonder measured |
| Neither model has a result on the other 13 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Muse Wonder | o4 Mini High | Leader |
|---|---|---|---|
| Design Arena: websites | 1361 | Not measured | Only Muse Wonder measured |
| Design Arena: UI components | 1374 | Not measured | Only Muse Wonder measured |
| Design Arena: game dev | 1379 | Not measured | Only Muse Wonder measured |
| Design Arena: data viz | 1321 | 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 | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index17 boards, none shared
| Benchmark | Muse Wonder | o4 Mini High | Leader |
|---|---|---|---|
| Vals Index | 64.9% | Not measured | Only Muse Wonder measured |
| Public Benefits Bench (Vals AI) | 70.2% | Not measured | Only Muse Wonder measured |
| Long context reasoning (AA-LCR) | 80.7% | Not measured | Only Muse Wonder measured |
| DTBench | 95.2% | Not measured | Only Muse Wonder measured |
| LMCA | 56.8% | Not measured | Only Muse Wonder measured |
| LMArena Text | 1502 | Not measured | Only Muse Wonder measured |
| LMArena Text: instruction following | 1491 | Not measured | Only Muse Wonder measured |
| LMArena Text: creative writing | 1491 | Not measured | Only Muse Wonder measured |
| LMArena Text: English | 1507 | Not measured | Only Muse Wonder measured |
| LMArena Text: non-English | 1492 | Not measured | Only Muse Wonder measured |
| LMArena Text: Chinese | 1537 | Not measured | Only Muse Wonder measured |
| LMArena Text: French | 1523 | Not measured | Only Muse Wonder measured |
| LMArena Text: Russian | 1522 | Not measured | Only Muse Wonder measured |
| LMArena Text: multi-turn | 1510 | Not measured | Only Muse Wonder measured |
| LMArena Text: longer queries | 1493 | Not measured | Only Muse Wonder measured |
| LMArena Text: writing and language | 1496 | Not measured | Only Muse Wonder measured |
| LMArena Text: entertainment and media | 1482 | Not measured | Only Muse Wonder measured |
| Neither model has a result on the other 29 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Wonder | o4 Mini High | 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
o4 Mini High costs less
Repository review
50K input + 3K output tokens
o4 Mini High costs less
Agent loop
200K input + 10K output tokens
o4 Mini High 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 o4 Mini High |
|---|---|---|
| Maker | Meta | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | October 12, 2026 | April 16, 2025 |
| Context window | 1.05M | 200K |
| Input $/Mtok | $4.00 | $1.10 |
| Output $/Mtok | $20.00 | $4.40 |
| Coding index | 71.9 | Not benchmarked |
| Independent measurements behind it | 3 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Wonder better than o4 Mini High for coding?
Only Muse Wonder has a coding score, 71.9 on the Vibe Coding Index; o4 Mini High has none, so the two cannot be ranked on coding. o4 Mini High has the edge where output tokens cost 4.5x less.
Which is cheaper, Muse Wonder or o4 Mini High?
Muse Wonder costs $4.00 per million input tokens and $20.00 per million output tokens; o4 Mini High costs $1.10 and $4.40. Cost per solved task is known for neither of them.
Which has the bigger context window, Muse Wonder or o4 Mini High?
Muse Wonder, with 1.05M tokens against 200K.
How many benchmarks is the Muse Wonder vs o4 Mini High comparison based on?
0 benchmarks have a result for both models as of October 21, 2026. Muse Wonder's coding index rests on 3 independent benchmarks and o4 Mini High's on 0. Where only one model has a result, the page says so instead of naming a winner.