Kimi K3 vs Muse Wonder
As of 13 Oct 2026, Muse Wonder (max) leads on quality (66.3 vs 64.9 on the BenchLeader Index), but Kimi K3 (max) costs 1.3× less, so it is the better buy unless you need the extra quality.
Key differences
- Muse Wonder (max) leads on quality: 66.3 vs 64.9.
- Kimi K3 (max) is stronger in agents & tools, coding, composite, human preference, long context, maths, multimodal.
- Muse Wonder (max) is stronger in knowledge, reasoning.
- Kimi K3 (max) is 1.3× cheaper ($6.00 vs $8.00 per 1M blended).
- Muse Wonder (max) streams 2.0× faster (85 vs 42 tokens per second).
Choose Kimi K3 (max) if
- long context is the priority (70 vs 66 on the category score)
- cost matters: $6.00 against $8.00 per million tokens blended
- you want to run it yourself: its weights are open
Choose Muse Wonder (max) if
- reasoning is the priority (88 vs 67 on the category score)
- knowledge is the priority (73 vs 63 on the category score)
- you need fast output: 85 against 42 tokens per second
Category by category
Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.
| Category | Kimi K3 (max) | Muse Wonder (max) | Leader |
|---|---|---|---|
| Reasoning | 66.5 | 87.8 | Muse Wonder |
| Coding | 64.7 | – | not comparable |
| Agents & tools | 59.8 | – | not comparable |
| Maths | 63.8 | – | not comparable |
| Knowledge | 63.1 | 73.0 | Muse Wonder |
| Human preference | 68.6 | – | not comparable |
| Multimodal | 63.7 | – | not comparable |
| Long context | 69.6 | 65.5 | Kimi K3 |
| Composite | 78.5 | 78.2 | level |
Price, speed and latency
List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page; suite cost is what Artificial Analysis paid to run its whole Intelligence Index.
| Measure | Kimi K3 (max) | Muse Wonder (max) |
|---|---|---|
| Blended price per 1M tokens | $6.00 | $8.00 |
| Input / output per 1M | $3.00 / $15.00 | $4.00 / $20.00 |
| Price per task: chat reply | $0.0057 | $0.0076 |
| Price per task: summarise a 30-page report | $0.045 | $0.060 |
| Price per task: code edit | $0.041 | $0.054 |
| Price per task: agentic coding session | $0.240 | $0.320 |
| Price per task: structured extraction | $0.0090 | $0.012 |
| Cost to run a full benchmark suite | $2.00 | $4.52 |
| Output speed | 42 tok/s | 85 tok/s |
| Time to first answer | 51.1 s | 60.8 s |
| Time to a complete answer | 63.1 s | 66.7 s |
Every benchmark
| Metric | Kimi K3 (max) | Muse Wonder (max) |
|---|---|---|
| BenchLeader Index | 64.9 | 66.3 |
| Agents & tools score | 59.8 | – |
| Coding score | 64.7 | – |
| Composite score | 78.5 | 78.2 |
| Human preference score | 68.6 | – |
| Knowledge score | 63.1 | 73.0 |
| Long context score | 69.6 | 65.5 |
| Maths score | 63.8 | – |
| Multimodal score | 63.7 | – |
| Reasoning score | 66.5 | 87.8 |
| Blended price $/M | $6.00 | $8.00 |
| Output speed | 42 tok/s | 85 tok/s |
| Time to first answer | 51.1 s | 60.8 s |
| Context window | 1.0M | 1.0M |
| GPQA Diamond | 93.1% | – |
| FrontierMath Tiers 1–3 | 72.2% | – |
| FrontierMath Tier 4 | 39.0% | – |
| OTIS Mock AIME | 97.2% | – |
| SimpleQA Verified | 50.6% | – |
| SimpleBench | 60.7% | – |
| SciCode | 59.5% | – |
| WeirdML | 82.6% | – |
| LMArena Text | 1488 | – |
| LMArena Hard Prompts | 1517 | – |
| LMArena Coding | 1540 | – |
| LMArena WebDev | 1654 | – |
| LMArena Agent | 3.8 | – |
| LiveBench | – | 81.2% |
| LiveBench Reasoning | – | 90.6% |
| LiveBench Coding | – | 80.7% |
| LiveBench Agentic Coding | – | 62.7% |
| LiveBench Mathematics | – | 96.5% |
| LiveBench Data Analysis | – | 81.6% |
| LiveBench Language | – | 82.9% |
| LiveBench Instruction Following | – | 73.0% |
| AA Intelligence Index v4.3.2 | 43.6 | 52.4 |
| AA-LCR | 88.7% | 80.7% |
| MMMU-Pro | 80.5% | – |
| AA-Omniscience | 19.7 | 25.5 |
| GPQA Diamond (AA) | 93.5% | – |
| Humanity's Last Exam (AA) | 46.9% | 50.1% |
| SciCode (AA) | 59.5% | 60.3% |
| LiveCodeBench | 87.2% | – |
| MMLU-Pro | 88.0% | – |
| IOI | 48.9% | – |
| MCP Atlas | 82.3% | – |
| ARC-AGI-1 | 94.5% | – |
| ARC-AGI-2 | 60.4% | – |
| CritPt | 23.4% | 28.3% |
| GDPval-AA v2.1 | 51.8% | 63.5% |
| τ³-Banking (AA) | 46.0% | – |
| ITBench SRE (AA) | 47.7% | – |
| Analyst Agent (AA) | 38.8% | – |
| APEX-Agents (AA) | 41.3% | – |
| BioMysteryBench | 71.5% | – |
| Code Migration | 16.1% | – |
| CyberBench | 75.2% | – |
| Excel Modeling Benchmark | 66.4% | – |
| Harvey's Legal Agent Benchmark | 10.8% | – |
| Public Benefits Bench | 68.3% | – |
| Tax Agent Bench | 68.7% | – |
| Terminal-Bench 4.0 (Vals) | 19.7% | – |
| Terminal-Bench Science | 2.9% | – |
| Time Horizon Index: KSP | 10.5% | – |
| Vibe Code Bench 1-100 | 18.2% | – |
| FORTRESS | 26.6% | – |
| LMArena Maths | 1498 | – |
| LMArena Creative Writing | 1460 | – |
| LMArena Instruction Following | 1488 | – |
| LMArena Multi-turn | 1500 | – |
| LMArena Longer Queries | 1504 | – |
| Chess Puzzles | 39.0% | – |
| Mystery Game Puzzles | 26.0% | – |
| Surface Evolver Bench | 93.0% | – |
| DeepSWE v1.1 | 68.5% | – |
| LMCA | 52.7% | – |
| DTBench | 91.2% | – |
| ForecastBench | 61.1% | – |
| ALE-Bench | 1524.5 | – |
| GDP.pdf | 19.0% | – |
| FrontierSWE | 25.9% | – |
| Terminal-Bench 4.0 (AA) | 12.6% | 52.0% |
| Terminal-Bench 2.1 (AA) | 85.0% | – |
| AutomationBench | 58.3% | 68.1% |
| GDP.pdf | 22.0% | 30.6% |
| MLCR | 38.3% | – |
| Harvey LAB-AA v1.1 | 5.3% | – |
| EnterpriseOps-Gym | 45.3% | – |
| AA-Omniscience: accuracy | 47.6% | 41.1% |
| AA-Omniscience: non-hallucination | 46.8% | 73.5% |
| AA-Briefcase v1.1 | 1501 | 1659 |
| FrontierCode 1.1 (AA) | 43.6% | – |
| AA Cyber Index | 4126.8% | – |
| CWE-Bench (AA) | 53.3% | – |
| DeepSec-Bench (AA) | 12.4% | – |
| CyberGym end-to-end (AA) | 58.0% | – |
| AA-3D | 982 | – |
| AA Openness Index | 38.9 | – |
Data as of 2026-10-13. Best configuration of each model; every score links to its source on the model pages.
Kimi K3 vs Muse Wonder: questions
- Is Kimi K3 better than Muse Wonder?
- Muse Wonder (max) leads on quality: 66.3 vs 64.9. The BenchLeader Index combines every independent quality benchmark; Muse Wonder (max) is ahead overall as of 2026-10-13, but check the category scores for your use.
- Which is cheaper, Kimi K3 or Muse Wonder?
- Kimi K3 is cheaper: $6.00 against $8.00 per million tokens, blended at three input tokens per output token.
- Which is faster, Kimi K3 or Muse Wonder?
- Muse Wonder streams faster: 85 against 42 output tokens per second.
- Which has the larger context window?
- Both accept 1.0M tokens of context.