Comparing 2 models
Kimi K3 vs GLM 5.3 Flash
Benchmarks through
Verdict
Kimi K3 and GLM 5.3 Flash split the 6 tasks where both are ranked, 3 each. GLM 5.3 Flash costs 12.5x less per input token.
- Choose Kimi K3 for Local LLM for Coding (#2), Code Completion (#5), Open-Weight LLM for Self-Hosting (#5).
- Choose GLM 5.3 Flash for JSON & Schema Output (#3), High-Volume Extraction (#3), Structured Data Extraction (#3).
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 | Kimi K3 | GLM 5.3 Flash | Source |
|---|---|---|---|
| Design Arena Coding | 1363 Elo | 1285 Elo | source · 2026-10-16 |
| Design Arena UI | 1346 Elo | 1318 Elo | source · 2026-10-16 |
| Design Arena Website | 1337 Elo | 1274 Elo | source · 2026-10-16 |
| FrontierMath Tiers 1-3 (Epoch AI) | 72.2% ± 2.7 | 55.8% ± 2.9 | source · 2026-07-17 |
| GPQA Diamond (Epoch AI) | 91.9% ± 1.9 | 90.2% ± 1.7 | source · 2026-08-07 |
| GPQA Diamond (Epoch AI) | 93.1% ± 1.5 | 90.2% ± 1.7 | source · 2026-07-16 |
| LiveBench Agentic Coding | 62.2% | 56.8% | source · 2026-10-16 |
| LiveBench Coding | 81.5% | 79.0% | source · 2026-10-16 |
| LiveBench Data Analysis | 78.7% | 76.4% | source · 2026-10-16 |
| LiveBench Instruction Following | 71.4% | 52.8% | source · 2026-10-16 |
| LiveBench Language | 85.5% | 77.3% | source · 2026-10-16 |
| LiveBench Math | 84.4% | 81.2% | source · 2026-10-16 |
| LiveBench Reasoning | 90.7% | 77.6% | source · 2026-10-16 |
| LMArena Agent | 1.9 | -1.1 | source · 2026-10-14 |
| LMArena Agent Bash Recovery | 4.4 | -5.7 | source · 2026-10-08 |
| LMArena Agent Steerability | 0.5 | -3 | source · 2026-10-14 |
| LMArena Agent Task Outcome | 6.3 | 3.9 | source · 2026-10-14 |
| LMArena Agent Tool Hallucination | 0.6 | 0.6 | source · 2026-10-14 |
| LMArena Creative Writing | 1456 Elo | 1441 Elo | source · 2026-10-15 |
| LMArena Instruction Following | 1483 Elo | 1478 Elo | source · 2026-10-15 |
| LMArena Long Query | 1493 Elo | 1482 Elo | source · 2026-10-15 |
| LMArena Math | 1494 Elo | 1505 Elo | source · 2026-10-15 |
| LMArena Text | 1487 Elo | 1474 Elo | source · 2026-10-15 |
| LMArena Text Factuality | 1471 Elo | 1463 Elo | source · 2026-10-15 |
| LMArena WebDev | 1655 Elo | 1606 Elo | source · 2026-10-13 |
| LMArena WebDev Image-to-Web | 1579 Elo | 1581 Elo | source · 2026-10-09 |
| OTIS Mock AIME (Epoch AI) | 93.3% ± 3.8 | 93.9% ± 2.2 | source · 2026-08-07 |
| OTIS Mock AIME (Epoch AI) | 97.2% ± 1.1 | 93.9% ± 2.2 | source · 2026-07-16 |
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.