Comparing 2 models
Muse Spark 1.3 vs Kimi K3
Benchmarks through
Verdict
Kimi K3 places higher on 3 of the 4 tasks where both are ranked. Kimi K3 costs 4.1x less per input token. Only Kimi K3 has open weights for self-hosting.
- Choose Muse Spark 1.3 for Value LLM (#5).
- Choose Kimi K3 for JSON & Schema Output (#4), Structured Data Extraction (#4), Debugging & Code Review (#6), you need to self-host.
Built from the published task rankings below; ranks come from each task's own weighted benchmarks, so a win on one task says nothing about another.
Measured head to head
Benchmarks both models were run on
| Evaluation | Muse Spark 1.3 | Kimi K3 | Source |
|---|---|---|---|
| Design Arena Coding | 1353 Elo | 1363 Elo | source · 2026-10-16 |
| Design Arena Full-stack Agent | 1295 Elo | 1315 Elo | source · 2026-10-14 |
| Design Arena UI | 1344 Elo | 1346 Elo | source · 2026-10-16 |
| Design Arena Web-app Agent | 1289 Elo | 1285 Elo | source · 2026-10-14 |
| Design Arena Website | 1348 Elo | 1337 Elo | source · 2026-10-16 |
| FrontierMath Tiers 1-3 (Epoch AI) | 74% ± 2.6 | 72.2% ± 2.7 | source · 2026-09-18 |
| FrontierMath Tiers 1-3 (Epoch AI) | 74.4% ± 2.6 | 72.2% ± 2.7 | source · 2026-09-16 |
| LiveBench Agentic Coding | 64.1% | 62.2% | source · 2026-10-16 |
| LiveBench Coding | 81.1% | 81.5% | source · 2026-10-16 |
| LiveBench Data Analysis | 79.6% | 78.7% | source · 2026-10-16 |
| LiveBench Instruction Following | 78% | 71.4% | source · 2026-10-16 |
| LiveBench Language | 82.8% | 85.5% | source · 2026-10-16 |
| LiveBench Math | 96.0% | 84.4% | source · 2026-10-16 |
| LiveBench Reasoning | 89.7% | 90.7% | source · 2026-10-16 |
| LMArena Agent | 3.6 | 1.9 | source · 2026-10-14 |
| LMArena Agent Bash Recovery | 6.1 | 4.4 | source · 2026-10-08 |
| LMArena Agent Steerability | 5.6 | 0.5 | source · 2026-10-14 |
| LMArena Agent Task Outcome | 4.9 | 6.3 | source · 2026-10-14 |
| LMArena Agent Tool Hallucination | 0.6 | 0.6 | source · 2026-10-14 |
| LMArena Creative Writing | 1460 Elo | 1456 Elo | source · 2026-10-15 |
| LMArena Instruction Following | 1478 Elo | 1483 Elo | source · 2026-10-15 |
| LMArena Long Query | 1488 Elo | 1493 Elo | source · 2026-10-15 |
| LMArena Math | 1496 Elo | 1494 Elo | source · 2026-10-15 |
| LMArena Text | 1494 Elo | 1487 Elo | source · 2026-10-15 |
| LMArena Text Factuality | 1479 Elo | 1471 Elo | source · 2026-10-15 |
| LMArena WebDev | 1659 Elo | 1655 Elo | source · 2026-10-13 |
| LMArena WebDev Image-to-Web | 1642 Elo | 1579 Elo | source · 2026-10-09 |
| OTIS Mock AIME (Epoch AI) | 99.2% ± 0.6 | 97.2% ± 1.1 | source · 2026-09-17 |
Values are as published by each evaluator, in its own units; rows from different evaluators are not on a common scale.
task evidence
How they place when the question changes
Lower ranks are better. “Best” marks the strongest option in this shortlist for that task.