Command A vs Muse Wonder
Updated October 21, 2026. 29 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Only Muse Wonder has a coding score, 71.9 on the Vibe Coding Index; Command A has none, so the two cannot be ranked on coding.
Command A has the edge where output tokens cost 2.0x less.
- Shared results
- 29
- Command A only
- 31
- Muse Wonder only
- 31
- 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, 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 Command A has a AA Intelligence Index result, 13.1.
Directional only
Agentic work
AA Agentic Index
No call
Only Command A has a AA Agentic Index result, 1.0.
Directional only
Reasoning
GPQA Diamond
No call
Only Command A has a GPQA Diamond result, 48.5%.
Directional only
Math
AIME
No call
Only Command A has a AIME result, 13.3%.
Directional only
Knowledge
MMLU Pro
No call
Only Command A has a MMLU Pro result, 69.2%.
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 256K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Command A
Command A $0.0075, Muse Wonder $0.014 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Command A has the number, $2.69.
Directional only
At a glance
- Coding index
- Command A not benchmarked, Muse Wonder 71.9 from 3 benchmarks.
- Widest category
- Agentic work, 47.6 points apart on average over 1 shared benchmark.
- Widest single gap
- Finance Agent (Vals AI): Command A 9.0% against Muse Wonder 56.6%, 47.6 points apart on a 0 to 100 scale.
- Output price
- Command A $10.00 against Muse Wonder $20.00 per million output tokens, 2.0x apart.
- Context window
- Command A takes 256K tokens, Muse Wonder 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 | Command A | Bars | Muse Wonder | Ties |
|---|---|---|---|---|
| Coding | 0 | 3 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 4 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| General | 0 | 15 | ||
| All shared boards | 0 | 29 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
| Benchmark | Command A | Muse Wonder | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1652 | Only Muse Wonder measured |
| AA Coding Index | 27.8 | Not measured | Only Command A measured |
| LiveCodeBench (Vals AI) | 35.1% | Not measured | Only Command A measured |
| SWE-bench Verified (Vals AI) | 7.8% | Not measured | Only Command A measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 49.5% | Only Muse Wonder measured |
| Vibe Code Bench (Vals AI) | Not measured | 83.1% | Only Muse Wonder measured |
| Code migration (Vals AI) | Not measured | 62.5% | Only Muse Wonder measured |
| IOI (Vals AI) | Not measured | 66.9% | Only Muse Wonder measured |
| Terminal-Bench 2.1 (Vals AI) | 17.6% | Not measured | Only Command A measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 45.6% | Only Muse Wonder measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 26.6% | Only Muse Wonder measured |
| CyberBench (Vals AI) | Not measured | 80.4% | Only Muse Wonder measured |
| LiveCodeBench (Artificial Analysis run) | 28.7% | Not measured | Only Command A measured |
| SciCode | 38.5% | 60.3% | Muse Wonder |
| Terminal-Bench Hard (Artificial Analysis run) | 25.0% | Not measured | Only Command A measured |
| LMArena Text: coding | 1330 | 1522 | Muse Wonder |
| LMArena Text: software and IT | 1336 | 1515 | Muse Wonder |
| LMArena WebDev: React | Not measured | 1641 | Only Muse Wonder measured |
| LMArena WebDev: HTML | Not measured | 1694 | Only Muse Wonder measured |
| Neither model has a result on the other 19 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Command A | Muse Wonder | Leader |
|---|---|---|---|
| AA Intelligence Index | 13.1 | Not measured | Only Command A measured |
| Epoch Capabilities Index | Not measured | 161.8 | Only Muse Wonder measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Command A | Muse Wonder | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | Not measured | Only Command A measured |
| Design Arena: spreadsheets | Not measured | 1232 | Only Muse Wonder measured |
| Finance Agent (Vals AI) | 9.0% | 56.6% | Muse Wonder |
| Tax Agent Bench (Vals AI) | Not measured | 36.3% | Only Muse Wonder measured |
| Legal Research Bench (Vals AI) | Not measured | 50.5% | Only Muse Wonder measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 23.8% | Only Muse Wonder measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 67.1% | Only Muse Wonder measured |
| BioMysteryBench (Vals AI) | Not measured | 67.0% | Only Muse Wonder measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 22.9% | Only Muse Wonder measured |
| Vals Science Index | Not measured | 39.1% | Only Muse Wonder measured |
| CUA-bench (Vals AI) | Not measured | 7.2% | Only Muse Wonder measured |
| τ²-Bench Telecom | 80.7% | Not measured | Only Command A measured |
| Vending-Bench 2 | Not measured | $9,432 | 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 index04
| Benchmark | Command A | Muse Wonder | Leader |
|---|---|---|---|
| GPQA Diamond | 48.5% | Not measured | Only Command A measured |
| MysteryMechanism (Vals AI) | Not measured | 27.5% | Only Muse Wonder measured |
| GPQA Diamond (Artificial Analysis run) | 76.1% | Not measured | Only Command A measured |
| Humanity's Last Exam (Artificial Analysis run) | 12.0% | 50.1% | Muse Wonder |
| LMArena Text: hard prompts | 1326 | 1506 | Muse Wonder |
| LMArena Text: expert | 1296 | 1513 | Muse Wonder |
| LMArena Text: hard prompts in English | 1335 | 1506 | Muse Wonder |
| Neither model has a result on the other 14 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Command A | Muse Wonder | Leader |
|---|---|---|---|
| AIME | 13.3% | Not measured | Only Command A measured |
| MATH 500 (Vals AI) | 76.2% | Not measured | Only Command A measured |
| MGSM (Vals AI) | 85.7% | Not measured | Only Command A measured |
| AA Math Index | 13.0 | Not measured | Only Command A measured |
| AIME 2025 (Artificial Analysis run) | 13.0% | Not measured | Only Command A measured |
| ProofBench | Not measured | 84.0% | Only Muse Wonder measured |
| LMArena Text: math | 1300 | 1486 | Muse Wonder |
| LMArena Text: mathematical work | 1312 | 1514 | Muse Wonder |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Command A | Muse Wonder | Leader |
|---|---|---|---|
| MMLU Pro | 69.2% | Not measured | Only Command A measured |
| LegalBench (Vals AI) | 79.7% | Not measured | Only Command A measured |
| CaseLaw (Vals AI) | 64.5% | Not measured | Only Command A measured |
| CorpFin (Vals AI) | 46.0% | Not measured | Only Command A measured |
| TaxEval (Vals AI) | 61.4% | Not measured | Only Command A measured |
| MedQA (Vals AI) | 80.5% | Not measured | Only Command A measured |
| MedCode (Vals AI) | 19.7% | Not measured | Only Command A measured |
| MMLU Pro (Artificial Analysis run) | 71.2% | Not measured | Only Command A measured |
| LMArena Text: science | 1339 | 1506 | Muse Wonder |
| LMArena Text: medicine and healthcare | 1334 | 1512 | Muse Wonder |
| LMArena Text: legal and government | 1348 | 1505 | Muse Wonder |
| LMArena Text: business and finance | 1315 | 1483 | Muse Wonder |
| Neither model has a result on the other 5 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Command A | Muse Wonder | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1361 | Only Muse Wonder measured |
| Design Arena: UI components | Not measured | 1374 | Only Muse Wonder measured |
| Design Arena: game dev | Not measured | 1379 | Only Muse Wonder measured |
| Design Arena: data viz | Not measured | 1321 | Only Muse Wonder measured |
| Design Arena: 3D | Not measured | 1425 | Only Muse Wonder measured |
| Design Arena: all code categories | Not measured | 1370 | 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 index015
| Benchmark | Command A | Muse Wonder | Leader |
|---|---|---|---|
| Vals Index | Not measured | 64.9% | Only Muse Wonder measured |
| Public Benefits Bench (Vals AI) | Not measured | 70.2% | Only Muse Wonder measured |
| MedScribe (Vals AI) | 55.7% | Not measured | Only Command A measured |
| IFBench | 73.9% | Not measured | Only Command A measured |
| Long context reasoning (AA-LCR) | 52.7% | 80.7% | Muse Wonder |
| DTBench | 61.3% | 95.2% | Muse Wonder |
| LMCA | 10.3% | 56.8% | Muse Wonder |
| LMArena Text | 1331 | 1502 | Muse Wonder |
| LMArena Text: instruction following | 1309 | 1491 | Muse Wonder |
| LMArena Text: creative writing | 1319 | 1491 | Muse Wonder |
| LMArena Text: English | 1344 | 1507 | Muse Wonder |
| LMArena Text: non-English | 1313 | 1492 | Muse Wonder |
| LMArena Text: Chinese | 1327 | 1537 | Muse Wonder |
| LMArena Text: German | 1342 | Not measured | Only Command A measured |
| LMArena Text: Japanese | 1285 | Not measured | Only Command A measured |
| LMArena Text: Korean | 1285 | Not measured | Only Command A measured |
| LMArena Text: French | 1351 | 1523 | Muse Wonder |
| LMArena Text: Spanish | 1347 | Not measured | Only Command A measured |
| LMArena Text: Russian | 1314 | 1522 | Muse Wonder |
| LMArena Text: Polish | 1324 | Not measured | Only Command A measured |
| LMArena Text: multi-turn | 1338 | 1510 | Muse Wonder |
| LMArena Text: longer queries | 1334 | 1493 | Muse Wonder |
| LMArena Text: writing and language | 1328 | 1496 | Muse Wonder |
| LMArena Text: entertainment and media | 1306 | 1482 | Muse Wonder |
| Neither model has a result on the other 22 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Command A | Muse Wonder | 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
Command A costs less
Repository review
50K input + 3K output tokens
Command A costs less
Agent loop
200K input + 10K output tokens
Command A 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 | Cohere Command A | Meta Muse Wonder |
|---|---|---|
| Maker | Cohere | Meta |
| Weights | Open weights | No public weights listed |
| Released | March 13, 2025 | October 12, 2026 |
| Context window | 256K | 1.05M |
| Input $/Mtok | $2.50 | $4.00 |
| Output $/Mtok | $10.00 | $20.00 |
| Coding index | Not benchmarked | 71.9 |
| Independent measurements behind it | 1 | 3 |
| Cost per solved task | $2.69 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Command A better than Muse Wonder for coding?
Only Muse Wonder has a coding score, 71.9 on the Vibe Coding Index; Command A has none, so the two cannot be ranked on coding. Command A has the edge where output tokens cost 2.0x less.
Which is cheaper, Command A or Muse Wonder?
Command A costs $2.50 per million input tokens and $10.00 per million output tokens; Muse Wonder costs $4.00 and $20.00. Cost per solved task is known for Command A only.
Which has the bigger context window, Command A or Muse Wonder?
Muse Wonder, with 1.05M tokens against 256K.
How many benchmarks is the Command A vs Muse Wonder comparison based on?
29 benchmarks have a result for both models as of October 21, 2026. Command A's coding index rests on 1 independent benchmark and Muse Wonder's on 3. Where only one model has a result, the page says so instead of naming a winner.