Coding
LiveBench Coding Leaderboard
LiveBench Coding evaluates code generation and completion on fresh, contamination-free programming tasks that are updated regularly.
Source: livebench8 open models ranked+29 proprietaryData through Jun 2026
Open models ranked on LiveBench Coding
# shows rank among open models / rank overall (including proprietary).
| # | Model | Score |
|---|---|---|
| 1 / 12 | GLM 5.2 · 753.3B | 79.7 |
| 2 / 15 | Kimi K2.6 · 1058.6B | 78.6 |
| 3 / 27 | Kimi K2.7 Code · 1058.6B | 74.0 |
| 4 / 28 | Qwen3.6 27B · 27.8B | 71.8 |
| 5 / 30 | Inkling · 952.4B | 71.0 |
| 6 / 32 | DeepSeek V4 Pro · 861.6B | 70.0 |
| 7 / 34 | DeepSeek V4 Flash · 158.1B | 69.2 |
| 8 / 36 | MiniMax M3 · 427.0B | 68.2 |
Score vs model size
Which models give the most quality for their size — the ones worth running locally.
- Qwen3.6 27B, 28B, score 71.8 — on the efficiency frontier (best score at its size or smaller).
- GLM 5.2, 753B, score 79.7 — on the efficiency frontier (best score at its size or smaller).
LiveBench Coding: frequently asked questions
- What is the best open LLM on LiveBench Coding?
- GLM 5.2 is the top open model on LiveBench Coding, scoring 79.7. Among all models tested — including proprietary ones — it ranks #11. The top model overall is Claude Fable 5 Max (Anthropic) at 86.0.
- What's the best LiveBench Coding model you can run on a 24 GB GPU?
- Qwen3.6 27B is the highest-scoring open model that fits in 24 GB at 4-bit quantization (about 15 GB), scoring 71.8 on LiveBench Coding.
- Can open models match proprietary models on LiveBench Coding?
- Not quite on LiveBench Coding: the strongest proprietary model (Claude Fable 5 Max) scores 86.0, ahead of the best open model (GLM 5.2) at 79.7 — but you can run the open one yourself.
Scores aggregated from livebench. llmrun does not run this benchmark — see the source for methodology, or the about benchmarks for what it measures.