Coding
LiveBench Coding Leaderboard
LiveBench Coding evaluates code generation and completion on fresh, contamination-free programming tasks that are updated regularly.
Source: livebench13 open models ranked+39 proprietaryData through Nov 2025
Open models ranked on LiveBench Coding
# shows rank among open models / rank overall (including proprietary).
| # | Model | Score |
|---|---|---|
| 1 / 5 | QwQ 32B · 32.8B | 72.2 |
| 2 / 6 | DeepSeek v3 0324 · 684.5B | 70.9 |
| 3 / 10 | DeepSeek R1 · 684.5B | 66.7 |
| 4 / 18 | Qwen2.5 Coder 32B Instruct · 32.8B | 56.9 |
| 5 / 22 | DeepSeek R1 Distill Llama 70B · 70B | 51.6 |
| 6 / 33 | Gemma 3 27B IT · 27.4B | 39.9 |
| 7 / 36 | QwQ 32B Preview · 32.8B | 37.2 |
| 8 / 37 | Llama 3.3 70B Instruct · 70.6B | 36.6 |
| 9 / 40 | Gemma 2 27B IT · 27.2B | 36.0 |
| 10 / 43 | DeepSeek R1 Distill Qwen 32B · 32.8B | 33.7 |
| 11 / 44 | Phi 4 · 14.7B | 30.7 |
| 12 / 46 | Gemma 2 9B IT · 9.2B | 22.5 |
| 13 / 51 | Phi 3 Mini 4k Instruct · 3.8B | 15.5 |
Score vs model size
Which models give the most quality for their size — the ones worth running locally.
- Phi 3 Mini 4k Instruct, 4B, score 15.5 — on the efficiency frontier (best score at its size or smaller).
- Gemma 2 9B IT, 9B, score 22.5 — on the efficiency frontier (best score at its size or smaller).
- Phi 4, 15B, score 30.7 — on the efficiency frontier (best score at its size or smaller).
- Gemma 2 27B IT, 27B, score 36.0 — on the efficiency frontier (best score at its size or smaller).
- Gemma 3 27B IT, 27B, score 39.9 — on the efficiency frontier (best score at its size or smaller).
- QwQ 32B, 33B, score 72.2 — 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?
- QwQ 32B is the top open model on LiveBench Coding, scoring 72.2. Among all models tested — including proprietary ones — it ranks #5.
- What's the best LiveBench Coding model you can run on a 24 GB GPU?
- QwQ 32B is the highest-scoring open model that fits in 24 GB at 4-bit quantization (about 18 GB), scoring 72.2 on LiveBench Coding.
- What's the best LiveBench Coding model you can run on a 12 GB GPU?
- Phi 4 is the highest-scoring open model that fits in 12 GB at 4-bit quantization (about 8 GB), scoring 30.7 on LiveBench Coding.
- Can open models match proprietary models on LiveBench Coding?
- Not quite on LiveBench Coding: the strongest proprietary model (gemini-2.5-pro-exp-03-25) scores 85.9, ahead of the best open model (QwQ 32B) at 72.2 — 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.