Kimi K3.1 Pro vs Muse Wonder
Kimi K3.1 Pro leads Muse Wonder on coding, 82.2 to 72.0 on the Vibe Coding Index, and Kimi K3.1 Pro costs 2.0x less per output token ($10.00 vs $20.00 per million). Updated October 29, 2026; 25 benchmarks have a result for both.
Kimi K3.1 Pro or Muse Wonder: which to pick
Pick Kimi K3.1 Pro for coding: it scores 82.2 on the Vibe Coding Index against 72.0 for Muse Wonder.
Pick Muse Wonder for work measured by Tax Agent Bench (Vals AI) or Legal Research Bench (Vals AI), where it leads.
- Shared results
- 25
- Kimi K3.1 Pro only
- 10
- Muse Wonder only
- 40
- Like-for-like categories
- 6 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
Kimi K3.1 Pro
Kimi K3.1 Pro scores 82.2 against 72.0.
4 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only Kimi K3.1 Pro has a AA Intelligence Index result, 46.0.
Directional only
Web design
Design Arena: websites
Muse Wonder
Muse Wonder leads, 1366 against 1325.
Same board, both measured
General
Vals Index
Muse Wonder
Muse Wonder leads, 64.9% against 62.5%.
Same board, both measured
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Kimi K3.1 Pro
Kimi K3.1 Pro $0.0070, Muse Wonder $0.014 per turn.
List prices
At a glance
- Coding index
- Kimi K3.1 Pro 82.2 from 4 benchmarks, Muse Wonder 72.0 from 3 benchmarks.
- Widest category
- Agentic work, 9.8 points apart on average over 6 shared benchmarks.
- Widest single gap
- Terminal-Bench 4 (Vals AI): Kimi K3.1 Pro 63.6% against Muse Wonder 49.5%, 18.9 points apart on a 0 to 100 scale.
- Output price
- Kimi K3.1 Pro $10.00 against Muse Wonder $20.00 per million output tokens, 2.0x apart.
- Context window
- Both take 1.05M tokens.
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 | Kimi K3.1 Pro | Bars | Muse Wonder | Ties |
|---|---|---|---|---|
| Coding | 7 | 0 | ||
| Agentic work | 3 | 3 | ||
| Reasoning | 1 | 1 | ||
| Math | 2 | 0 | ||
| Web design | 3 | 3 | ||
| General | 1 | 1 | ||
| All shared boards | 17 | 8 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
| Benchmark | Kimi K3.1 Pro | Muse Wonder | Leader |
|---|---|---|---|
| LiveBench coding | 81.8% | Not measured | Only Kimi K3.1 Pro measured |
| LMArena WebDev | 1695 | 1652 | Kimi K3.1 Pro |
| Terminal-Bench 4 (Vals AI) | 63.6% | 49.5% | Kimi K3.1 Pro |
| Vibe Code Bench (Vals AI) | 84.9% | 83.1% | Kimi K3.1 Pro |
| Code migration (Vals AI) | Not measured | 62.5% | Only Muse Wonder measured |
| IOI (Vals AI) | 81.9% | 66.9% | Kimi K3.1 Pro |
| 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 |
| SciCode | 60.8% | 60.3% | Kimi K3.1 Pro |
| ALE-Bench | 1932.8 | Not measured | Only Kimi K3.1 Pro measured |
| LMArena Text: coding | Not measured | 1518 | Only Muse Wonder measured |
| LMArena Text: software and IT | Not measured | 1515 | Only Muse Wonder measured |
| LMArena WebDev: React | 1701 | 1651 | Kimi K3.1 Pro |
| LMArena WebDev: HTML | 1706 | 1670 | Kimi K3.1 Pro |
| Neither model has a result on the other 28 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Kimi K3.1 Pro | Muse Wonder | Leader |
|---|---|---|---|
| AA Intelligence Index | 46.0 | Not measured | Only Kimi K3.1 Pro measured |
| Epoch Capabilities Index | Not measured | 161.8 | Only Muse Wonder measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | Kimi K3.1 Pro | Muse Wonder | Leader |
|---|---|---|---|
| Design Arena: HTML slides | Not measured | 1133 | Only Muse Wonder measured |
| Design Arena: PowerPoint slides | Not measured | 1095 | Only Muse Wonder measured |
| Design Arena: spreadsheets | Not measured | 1279 | Only Muse Wonder measured |
| LiveBench research | 77.9% | Not measured | Only Kimi K3.1 Pro measured |
| LiveBench browser | 75.9% | Not measured | Only Kimi K3.1 Pro measured |
| LiveBench long agentic | 39.1% | Not measured | Only Kimi K3.1 Pro measured |
| Finance Agent (Vals AI) | Not measured | 56.6% | Only Muse Wonder measured |
| Tax Agent Bench (Vals AI) | 24.9% | 36.3% | Muse Wonder |
| Legal Research Bench (Vals AI) | 37.5% | 50.5% | Muse Wonder |
| Harvey's Legal Agent Benchmark (Vals AI) | 11.7% | 23.8% | Muse Wonder |
| Excel Modeling Benchmark (Vals AI) | Not measured | 67.1% | Only Muse Wonder measured |
| BioMysteryBench (Vals AI) | 75.6% | 67.0% | Kimi K3.1 Pro |
| Terminal-Bench-Science (Vals AI) | 31.4% | 22.9% | Kimi K3.1 Pro |
| Vals Science Index | 44.4% | 39.1% | Kimi K3.1 Pro |
| CUA-bench (Vals AI) | Not measured | 7.2% | Only Muse Wonder 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 index11
| Benchmark | Kimi K3.1 Pro | Muse Wonder | Leader |
|---|---|---|---|
| LiveBench reasoning | 91.1% | Not measured | Only Kimi K3.1 Pro measured |
| MysteryMechanism (Vals AI) | 26.1% | 27.5% | Muse Wonder |
| Humanity's Last Exam (Artificial Analysis run) | 52.5% | 50.1% | Kimi K3.1 Pro |
| LMArena Text: hard prompts | Not measured | 1507 | Only Muse Wonder measured |
| LMArena Text: expert | Not measured | 1506 | Only Muse Wonder measured |
| LMArena Text: hard prompts in English | Not measured | 1510 | Only Muse Wonder measured |
| Neither model has a result on the other 17 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Kimi K3.1 Pro | Muse Wonder | Leader |
|---|---|---|---|
| ProofBench | 91.0% | 84.0% | Kimi K3.1 Pro |
| LMArena Text: math | Not measured | 1477 | Only Muse Wonder measured |
| LMArena Text: mathematical work | Not measured | 1499 | Only Muse Wonder measured |
| MathArena | 59.6% | 56.4% | Kimi K3.1 Pro |
| 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 | Kimi K3.1 Pro | Muse Wonder | Leader |
|---|---|---|---|
| LMArena Text: science | Not measured | 1505 | Only Muse Wonder measured |
| LMArena Text: medicine and healthcare | Not measured | 1514 | Only Muse Wonder measured |
| LMArena Text: legal and government | Not measured | 1509 | Only Muse Wonder measured |
| LMArena Text: business and finance | Not measured | 1487 | Only Muse Wonder measured |
| Neither model has a result on the other 16 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | Kimi K3.1 Pro | Muse Wonder | Leader |
|---|---|---|---|
| Design Arena: websites | 1325 | 1366 | Muse Wonder |
| Design Arena: UI components | 1400 | 1379 | Kimi K3.1 Pro |
| Design Arena: game dev | 1410 | 1402 | Kimi K3.1 Pro |
| Design Arena: data viz | 1300 | 1304 | Muse Wonder |
| Design Arena: 3D | 1451 | 1442 | Kimi K3.1 Pro |
| Design Arena: all code categories | 1354 | 1381 | Muse Wonder |
| Design Arena: SVG | 1328 | Not measured | Only Kimi K3.1 Pro measured |
| LiveBench design | 77.8% | Not measured | Only Kimi K3.1 Pro measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Kimi K3.1 Pro | Muse Wonder | Leader |
|---|---|---|---|
| Vals Index | 62.5% | 64.9% | Muse Wonder |
| LiveBench data analysis | 79.1% | Not measured | Only Kimi K3.1 Pro measured |
| Public Benefits Bench (Vals AI) | Not measured | 70.2% | Only Muse Wonder measured |
| Long context reasoning (AA-LCR) | 86.3% | 80.7% | Kimi K3.1 Pro |
| DTBench | Not measured | 95.2% | Only Muse Wonder measured |
| LMCA | Not measured | 56.8% | Only Muse Wonder measured |
| LMArena Text | Not measured | 1499 | Only Muse Wonder measured |
| LMArena Text: instruction following | Not measured | 1494 | Only Muse Wonder measured |
| LMArena Text: creative writing | Not measured | 1488 | Only Muse Wonder measured |
| LMArena Text: English | Not measured | 1505 | Only Muse Wonder measured |
| LMArena Text: non-English | Not measured | 1490 | Only Muse Wonder measured |
| LMArena Text: Chinese | Not measured | 1531 | Only Muse Wonder measured |
| LMArena Text: French | Not measured | 1507 | Only Muse Wonder measured |
| LMArena Text: Spanish | Not measured | 1463 | Only Muse Wonder measured |
| LMArena Text: Russian | Not measured | 1518 | Only Muse Wonder measured |
| LMArena Text: multi-turn | Not measured | 1505 | Only Muse Wonder measured |
| LMArena Text: longer queries | Not measured | 1495 | Only Muse Wonder measured |
| LMArena Text: writing and language | Not measured | 1493 | Only Muse Wonder measured |
| LMArena Text: entertainment and media | Not measured | 1484 | Only Muse Wonder measured |
| EQ-Bench 4 | Not measured | 1325 | Only Muse Wonder measured |
| Neither model has a result on the other 28 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Kimi K3.1 Pro | 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
Kimi K3.1 Pro costs less
Repository review
50K input + 3K output tokens
Kimi K3.1 Pro costs less
Agent loop
200K input + 10K output tokens
Kimi K3.1 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 | MoonshotAI Kimi K3.1 Pro | Meta Muse Wonder |
|---|---|---|
| Maker | Moonshot AI | Meta |
| Weights | No public weights listed | No public weights listed |
| Released | October 23, 2026 | October 12, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $2.00 | $4.00 |
| Output $/Mtok | $10.00 | $20.00 |
| Coding index | 82.2 | 72.0 |
| Independent measurements behind it | 4 | 3 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Kimi K3.1 Pro better than Muse Wonder for coding?
Pick Kimi K3.1 Pro for coding: it scores 82.2 on the Vibe Coding Index against 72.0 for Muse Wonder. Pick Muse Wonder for work measured by Tax Agent Bench (Vals AI) or Legal Research Bench (Vals AI), where it leads.
Which is cheaper, Kimi K3.1 Pro or Muse Wonder?
Kimi K3.1 Pro costs $2.00 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 neither of them.
Which has the bigger context window, Kimi K3.1 Pro or Muse Wonder?
Neither: both take 1.05M tokens.
How many benchmarks is the Kimi K3.1 Pro vs Muse Wonder comparison based on?
25 benchmarks have a result for both models as of October 29, 2026. Kimi K3.1 Pro's coding index rests on 4 independent benchmarks and Muse Wonder's on 3. Where only one model has a result, the page says so instead of naming a winner.