Kimi K2.6 vs Muse Wonder
Updated October 21, 2026. 48 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 44.2 for Kimi K2.6.
Pick Kimi K2.6 when output tokens cost 5.9x less, or when what matters is Design Arena: spreadsheets or Long context reasoning (AA-LCR), where it leads.
- Shared results
- 48
- Kimi K2.6 only
- 61
- Muse Wonder only
- 12
- Like-for-like categories
- 8 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 44.2.
One benchmark behind each score
Intelligence
AA Intelligence Index
No call
Only Kimi K2.6 has a AA Intelligence Index result, 27.0.
Directional only
Agentic work
AA Agentic Index
No call
Only Kimi K2.6 has a AA Agentic Index result, 20.5.
Directional only
Reasoning
GPQA Diamond
No call
Only Kimi K2.6 has a GPQA Diamond result, 89.1%.
Directional only
Knowledge
MMLU Pro
No call
Only Kimi K2.6 has a MMLU Pro result, 87.6%.
Directional only
Web design
Design Arena: websites
Muse Wonder
Muse Wonder leads, 1361 against 1269.
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 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Kimi K2.6
Kimi K2.6 $0.0024, Muse Wonder $0.014 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Kimi K2.6 has the number, $0.35.
Directional only
At a glance
- Coding index
- Kimi K2.6 44.2 from 1 benchmark, Muse Wonder 64.5 from 1 benchmark.
- Widest category
- Math, 25.2 points apart on average over 3 shared benchmarks.
- Widest single gap
- ProofBench: Kimi K2.6 16.0% against Muse Wonder 84.0%, 68.0 points apart on a 0 to 100 scale.
- Output price
- Kimi K2.6 $3.41 against Muse Wonder $20.00 per million output tokens, 5.9x apart.
- Context window
- Kimi K2.6 takes 262K 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 | Kimi K2.6 | Bars | Muse Wonder | Ties |
|---|---|---|---|---|
| Coding | 0 | 8 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 5 | ||
| Reasoning | 0 | 4 | ||
| Math | 0 | 3 | ||
| Knowledge | 0 | 4 | ||
| Web design | 0 | 6 | ||
| General | 1 | 15 | ||
| All shared boards | 2 | 46 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index08
| Benchmark | Kimi K2.6 | Muse Wonder | Leader |
|---|---|---|---|
| LMArena WebDev | 1509 | 1652 | Muse Wonder |
| AA Coding Index | 61.8 | Not measured | Only Kimi K2.6 measured |
| LiveCodeBench (Vals AI) | 86.8% | Not measured | Only Kimi K2.6 measured |
| SWE-bench Verified (Vals AI) | 76.2% | Not measured | Only Kimi K2.6 measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 49.5% | Only Muse Wonder measured |
| Vibe Code Bench (Vals AI) | 37.9% | 83.1% | Muse Wonder |
| Code migration (Vals AI) | 27.8% | 62.5% | Muse Wonder |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Kimi K2.6 measured |
| IOI (Vals AI) | Not measured | 66.9% | Only Muse Wonder measured |
| Terminal-Bench 2.1 (Vals AI) | 53.6% | Not measured | Only Kimi K2.6 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 |
| SciCode | 51.5% | 60.3% | Muse Wonder |
| Terminal-Bench Hard (Artificial Analysis run) | 43.9% | Not measured | Only Kimi K2.6 measured |
| WeirdML | 55.9% | Not measured | Only Kimi K2.6 measured |
| ALE-Bench | 1092.7 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: coding | 1489 | 1522 | Muse Wonder |
| LMArena Text: software and IT | 1484 | 1515 | Muse Wonder |
| LMArena WebDev: React | 1505 | 1641 | Muse Wonder |
| LMArena WebDev: HTML | 1485 | 1694 | Muse Wonder |
| LMArena WebDev: from an image | 1521 | Not measured | Only Kimi K2.6 measured |
| Neither model has a result on the other 16 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Kimi K2.6 | Muse Wonder | Leader |
|---|---|---|---|
| AA Intelligence Index | 27.0 | Not measured | Only Kimi K2.6 measured |
| Epoch Capabilities Index | 150.9 | 161.8 | Muse Wonder |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index15
| Benchmark | Kimi K2.6 | Muse Wonder | Leader |
|---|---|---|---|
| AA Agentic Index | 20.5 | Not measured | Only Kimi K2.6 measured |
| Design Arena: agents building web apps | 1268 | Not measured | Only Kimi K2.6 measured |
| Design Arena: agents building full-stack apps | 1155 | Not measured | Only Kimi K2.6 measured |
| Design Arena: agents building mobile apps | 1156 | Not measured | Only Kimi K2.6 measured |
| Design Arena: agents building Android apps | 1166 | Not measured | Only Kimi K2.6 measured |
| Design Arena: agents building Godot games | 1120 | Not measured | Only Kimi K2.6 measured |
| Design Arena: agents building games | 1141 | Not measured | Only Kimi K2.6 measured |
| Design Arena: HTML slides | 1184 | Not measured | Only Kimi K2.6 measured |
| Design Arena: PowerPoint slides | 1128 | Not measured | Only Kimi K2.6 measured |
| Design Arena: spreadsheets | 1276 | 1236 | Kimi K2.6 |
| Finance Agent (Vals AI) | 44.9% | 56.6% | Muse Wonder |
| Tax Agent Bench (Vals AI) | 12.4% | 36.3% | Muse Wonder |
| Legal Research Bench (Vals AI) | 15.9% | 50.5% | Muse Wonder |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 23.8% | Only Muse Wonder measured |
| Excel Modeling Benchmark (Vals AI) | 57.9% | 67.1% | Muse Wonder |
| 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 | 95.9% | Not measured | Only Kimi K2.6 measured |
| OSWorld 2.0 | 4.6% | Not measured | Only Kimi K2.6 measured |
| Vending-Bench 2 | $6,205 | $9,432 | Muse Wonder |
| Neither model has a result on the other 17 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Kimi K2.6 | Muse Wonder | Leader |
|---|---|---|---|
| GPQA Diamond | 89.1% | Not measured | Only Kimi K2.6 measured |
| MysteryMechanism (Vals AI) | Not measured | 27.5% | Only Muse Wonder measured |
| MMMU Pro (Vals AI) | 86.3% | Not measured | Only Kimi K2.6 measured |
| GPQA Diamond (Artificial Analysis run) | 91.1% | Not measured | Only Kimi K2.6 measured |
| Humanity's Last Exam (Artificial Analysis run) | 37.5% | 50.1% | Muse Wonder |
| GPQA Diamond (Epoch AI run) | 90.8% | Not measured | Only Kimi K2.6 measured |
| Chess puzzles | 20.0% | Not measured | Only Kimi K2.6 measured |
| Mystery game puzzles | 18.0% | Not measured | Only Kimi K2.6 measured |
| EBR-bench | 2.4% | Not measured | Only Kimi K2.6 measured |
| LMArena Text: hard prompts | 1470 | 1506 | Muse Wonder |
| LMArena Text: expert | 1491 | 1513 | Muse Wonder |
| LMArena Text: hard prompts in English | 1471 | 1506 | Muse Wonder |
| LMArena Vision: diagrams | 1298 | Not measured | Only Kimi K2.6 measured |
| LMArena Vision: homework | 1310 | Not measured | Only Kimi K2.6 measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Kimi K2.6 | Muse Wonder | Leader |
|---|---|---|---|
| OTIS Mock AIME | 96.1% | Not measured | Only Kimi K2.6 measured |
| FrontierMath, tiers 1 to 3 | 57.2% | Not measured | Only Kimi K2.6 measured |
| FrontierMath, tier 4 | 25.6% | Not measured | Only Kimi K2.6 measured |
| ProofBench | 16.0% | 84.0% | Muse Wonder |
| LMArena Text: math | 1474 | 1486 | Muse Wonder |
| LMArena Text: mathematical work | 1480 | 1514 | Muse Wonder |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Kimi K2.6 | Muse Wonder | Leader |
|---|---|---|---|
| MMLU Pro | 87.6% | Not measured | Only Kimi K2.6 measured |
| LegalBench (Vals AI) | 84.7% | Not measured | Only Kimi K2.6 measured |
| CaseLaw (Vals AI) | 61.2% | Not measured | Only Kimi K2.6 measured |
| CorpFin (Vals AI) | 66.7% | Not measured | Only Kimi K2.6 measured |
| TaxEval (Vals AI) | 74.7% | Not measured | Only Kimi K2.6 measured |
| MortgageTax (Vals AI) | 65.8% | Not measured | Only Kimi K2.6 measured |
| MedCode (Vals AI) | 40.1% | Not measured | Only Kimi K2.6 measured |
| SimpleQA Verified | 34.9% | Not measured | Only Kimi K2.6 measured |
| LMArena Text: science | 1468 | 1506 | Muse Wonder |
| LMArena Text: medicine and healthcare | 1457 | 1512 | Muse Wonder |
| LMArena Text: legal and government | 1462 | 1505 | Muse Wonder |
| LMArena Text: business and finance | 1445 | 1483 | Muse Wonder |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Kimi K2.6 | Muse Wonder | Leader |
|---|---|---|---|
| Design Arena: websites | 1269 | 1361 | Muse Wonder |
| Design Arena: UI components | 1266 | 1371 | Muse Wonder |
| Design Arena: game dev | 1251 | 1380 | Muse Wonder |
| Design Arena: data viz | 1249 | 1330 | Muse Wonder |
| Design Arena: 3D | 1268 | 1425 | Muse Wonder |
| Design Arena: all code categories | 1272 | 1370 | Muse Wonder |
| Design Arena: SVG | 1181 | Not measured | Only Kimi K2.6 measured |
| Design Arena: ASCII art | 1164 | Not measured | Only Kimi K2.6 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index115
| Benchmark | Kimi K2.6 | Muse Wonder | Leader |
|---|---|---|---|
| Vals Index | Not measured | 64.9% | Only Muse Wonder measured |
| Public Benefits Bench (Vals AI) | 56.6% | 70.2% | Muse Wonder |
| SAGE (Vals AI) | 50.2% | Not measured | Only Kimi K2.6 measured |
| MedScribe (Vals AI) | 78.2% | Not measured | Only Kimi K2.6 measured |
| Vals Multimodal Index | 56.4% | Not measured | Only Kimi K2.6 measured |
| IFBench | 76.0% | Not measured | Only Kimi K2.6 measured |
| Long context reasoning (AA-LCR) | 81.0% | 80.7% | Kimi K2.6 |
| DTBench | 90.9% | 95.2% | Muse Wonder |
| LMCA | 37.3% | 56.8% | Muse Wonder |
| Furniture assembly | 21.7% | Not measured | Only Kimi K2.6 measured |
| ExploitBench | 18.4% | Not measured | Only Kimi K2.6 measured |
| LMArena Text | 1455 | 1502 | Muse Wonder |
| LMArena Text: instruction following | 1451 | 1491 | Muse Wonder |
| LMArena Text: creative writing | 1434 | 1491 | Muse Wonder |
| LMArena Vision | 1282 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: English | 1460 | 1507 | Muse Wonder |
| LMArena Text: non-English | 1446 | 1492 | Muse Wonder |
| LMArena Text: Chinese | 1520 | 1537 | Muse Wonder |
| LMArena Text: German | 1451 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: Japanese | 1443 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: Korean | 1427 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: French | 1471 | 1523 | Muse Wonder |
| LMArena Text: Spanish | 1464 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: Russian | 1446 | 1522 | Muse Wonder |
| LMArena Text: Polish | 1438 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: multi-turn | 1453 | 1510 | Muse Wonder |
| LMArena Text: longer queries | 1468 | 1493 | Muse Wonder |
| LMArena Text: writing and language | 1439 | 1496 | Muse Wonder |
| LMArena Text: entertainment and media | 1428 | 1482 | Muse Wonder |
| LMArena Vision: English | 1287 | Not measured | Only Kimi K2.6 measured |
| LMArena Vision: Chinese | 1346 | Not measured | Only Kimi K2.6 measured |
| LMArena Vision: reading text | 1291 | Not measured | Only Kimi K2.6 measured |
| LMArena Vision: humor | 1280 | Not measured | Only Kimi K2.6 measured |
| LMArena Vision: creative writing | 1273 | Not measured | Only Kimi K2.6 measured |
| LMArena Document | 1451 | Not measured | Only Kimi K2.6 measured |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Kimi K2.6 | 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 K2.6 costs less
Repository review
50K input + 3K output tokens
Kimi K2.6 costs less
Agent loop
200K input + 10K output tokens
Kimi K2.6 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 K2.6 | Meta Muse Wonder |
|---|---|---|
| Maker | Moonshot AI | Meta |
| Weights | Open weights | No public weights listed |
| Released | April 20, 2026 | October 12, 2026 |
| Context window | 262K | 1.05M |
| Input $/Mtok | $0.65 | $4.00 |
| Output $/Mtok | $3.41 | $20.00 |
| Coding index | 44.2 | 64.5 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | $0.35 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Kimi K2.6 better than Muse Wonder for coding?
Pick Muse Wonder for coding: it scores 64.5 on the Vibe Coding Index against 44.2 for Kimi K2.6. Pick Kimi K2.6 when output tokens cost 5.9x less, or when what matters is Design Arena: spreadsheets or Long context reasoning (AA-LCR), where it leads.
Which is cheaper, Kimi K2.6 or Muse Wonder?
Kimi K2.6 costs $0.65 per million input tokens and $3.41 per million output tokens; Muse Wonder costs $4.00 and $20.00. Cost per solved task is known for Kimi K2.6 only.
Which has the bigger context window, Kimi K2.6 or Muse Wonder?
Muse Wonder, with 1.05M tokens against 262K.
How many benchmarks is the Kimi K2.6 vs Muse Wonder comparison based on?
48 benchmarks have a result for both models as of October 21, 2026. Kimi K2.6's coding index rests on 1 independent benchmark and Muse Wonder's on 1. Where only one model has a result, the page says so instead of naming a winner.