GLM 5.2 vs Kimi K3
GLM 5.2 
Kimi K3 Verdict
- Kimi K3 leads on quality: 65.7 vs 57.7.
- GLM 5.2 (max) is stronger in reasoning.
- Kimi K3 is stronger in agents & tools, coding, human preference, knowledge, maths, composite, long context, multimodal.
- GLM 5.2 (max) is 2.8× cheaper ($2.15 vs $6.00 per 1M blended).
- GLM 5.2 (max) streams 2.0× faster (75 vs 37 tokens per second).
| Metric | GLM 5.2 (max) | Kimi K3 |
|---|---|---|
| BenchLeader Index | 57.7 | 65.7 |
| Agents & tools score | 56.9 | 67.4 |
| Coding score | 63.8 | 65.0 |
| Human preference score | 67.3 | 71.2 |
| Knowledge score | 44.8 | 66.8 |
| Maths score | 55.8 | 78.1 |
| Reasoning score | 66.8 | – |
| Composite score | – | 70.6 |
| Long context score | – | 69.2 |
| Multimodal score | – | 64.0 |
| Blended price $/M | $2.15 | $6.00 |
| Output speed | 75 tok/s | 37 tok/s |
| Time to first answer | 34.2 s | 57.9 s |
| Context window | 1M | 1.0M |
| GPQA Diamond | 91.9% | – |
| FrontierMath Tiers 1–3 | 59.2% | – |
| FrontierMath Tier 4 | 29.3% | – |
| OTIS Mock AIME | 86.4% | – |
| SWE-bench Verified (Epoch) | 78.7% | – |
| SimpleQA Verified | 34.2% | – |
| SciCode | 50.5% | 58.7% |
| WeirdML | 70.1% | – |
| APEX-Agents | – | 39.3% |
| FrontierCode | – | 44.2% |
| ProofBench | 35.0% | 87.0% |
| Epoch Capabilities Index | – | 157.6 |
| LMArena Text | 1472 | – |
| LMArena Hard Prompts | 1493 | – |
| LMArena Coding | 1510 | – |
| LMArena WebDev | 1592 | – |
| LMArena Agent | 4.6 | – |
| LiveBench | – | 79.2% |
| LiveBench Reasoning | – | 90.7% |
| LiveBench Coding | – | 81.5% |
| LiveBench Agentic Coding | – | 62.2% |
| LiveBench Mathematics | – | 84.4% |
| LiveBench Data Analysis | – | 78.7% |
| LiveBench Language | – | 85.5% |
| AA Intelligence Index | – | 43.8 |
| AA-LCR | – | 88.7% |
| MMMU-Pro | – | 80.5% |
| AA-Omniscience | – | 19.7 |
| GPQA Diamond (AA) | – | 93.5% |
| Humanity's Last Exam (AA) | – | 46.9% |
| SciCode (AA) | – | 59.5% |
| LegalBench | – | 86.0% |
| CorpFin | – | 71.6% |
| TaxEval | – | 75.7% |
| Terminal-Bench 2.1 (Vals) | 67.8% | 80.9% |
| SWE-bench (Vals) | 82.8% | 93.4% |
| GPQA Diamond (Vals) | – | 92.9% |
| Vals Index | – | 57.8 |
| EQ-Bench 4 | – | 1339 |
Data as of 2026-09-13. Best configuration of each model; every score links to its source on the model pages.
GLM 5.2 vs Kimi K3: questions
- Is GLM 5.2 better than Kimi K3?
- Kimi K3 leads on quality: 65.7 vs 57.7. The BenchLeader Index combines every independent quality benchmark; Kimi K3 is ahead overall as of 2026-09-13, but check the category scores for your use.
- Is GLM 5.2 better than Kimi K3 for coding?
- Kimi K3 scores higher in coding (65 vs 64 on the category index, where 50 is average).
- Is GLM 5.2 better than Kimi K3 for agentic tasks?
- Kimi K3 scores higher in agentic tasks (67 vs 57 on the category index, where 50 is average).
- Which is cheaper, GLM 5.2 or Kimi K3?
- GLM 5.2 is cheaper: $2.15 against $6.00 per million tokens, blended at three input tokens per output token.
- Which is faster, GLM 5.2 or Kimi K3?
- GLM 5.2 streams faster: 75 against 37 output tokens per second.
- Which has the larger context window?
- Kimi K3 accepts more context: 1.0M against 1M tokens.