LiveBench 2026 Coding Leaderboard
LiveBench 2026 Coding measures whether a model writes correct code for programming problems. It belongs to the 2026 LiveBench release (first snapshot September 2, 2026), a redesigned LiveBench in which each of seven categories is scored by a single task and questions are refreshed to limit training-set contamination. It is a different test from the original LiveBench boards, so the scores are not comparable.
Source: livebench15 open models ranked+33 proprietaryData through Sep 2026
Open models ranked on LiveBench 2026 Coding
# shows rank among open models / rank overall (including proprietary).
| # | Model | Score | VRAM @ Q4 |
|---|---|---|---|
| 1 / 15 | Qwen3.8 27B · 27.8B | 86.8 | ~17 GB |
| 2 / 19 | DeepSeek V4.1 Flash · 763.2B | 85.4 | ~458 GB |
| 3 / 25 | GLM 5.3 · 753.3B | 82.8 | ~456 GB |
| 4 / 28 | MiMo V2.6 Pro RL · 1020B | 81.5 | ~613 GB |
| 5 / 29 | GLM 5.3 Flash · 321.3B | 80.6 | ~195 GB |
| 6 / 34 | Muse Spark Open 816B A42B · 822.0B | 73.6 | ~543 GB |
| 7 / 35 | MiniMax M3 · 427.0B | 70.9 | ~257 GB |
| 8 / 38 | NVIDIA Nemotron 3.5 Super VL 120B A12B BF16 · 124.5B | 65.5 | ~82 GB |
| 9 / 39 | Inkling · 952.4B | 64.0 | ~572 GB |
| 10 / 41 | Smaug Flash · 304.2B | 60.1 | ~609 GB |
| 11 / 43 | Kimi K3 · 2779.9B | 59.3 | ~1674 GB |
| 12 / 44 | Gemma 4 31B IT · 31.3B | 49.0 | ~20 GB |
| 13 / 46 | NVIDIA Nemotron 3 Ultra 550B A55B BF16 · 560.5B | 43.6 | ~370 GB |
| 14 / 47 | DeepSeek V4 Flash Vision Exp · 304.6B | 37.6 | ~183 GB |
| 15 / 48 | NVIDIA Nemotron 3.5 Lightning 30B A3B BF16 · 31.6B | 22.6 | ~19 GB |
Score vs model size
Which models give the most quality for their size — the ones worth running locally.
- Qwen3.8 27B, 28B, score 86.8 — on the efficiency frontier (best score at its size or smaller).
LiveBench 2026 Coding: frequently asked questions
- What is the best open LLM on LiveBench 2026 Coding?
- Qwen3.8 27B is the top open model on LiveBench 2026 Coding, scoring 86.8. Among all models tested — including proprietary ones — it ranks #15. The top model overall is Claude Fable 5 (Anthropic) at 98.3.
- What's the best LiveBench 2026 Coding model you can run on a 24 GB GPU?
- Qwen3.8 27B is the highest-scoring open model that fits in 24 GB at 4-bit quantization (~17 GB), scoring 86.8 on LiveBench 2026 Coding.
- Can open models match proprietary models on LiveBench 2026 Coding?
- Not quite on LiveBench 2026 Coding: the strongest proprietary model (Claude Fable 5) scores 98.3, ahead of the best open model (Qwen3.8 27B) at 86.8 — 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.