SEA-HELM (English) - LiveCodeBench v6: leaderboard
LiveCodeBench v6 competitive programming problems run by SEA-HELM, scored by whether generated code passes the tests. Normalized 0-100 score from AI Singapore's SEA-HELM leaderboard: (score - random baseline) / (maximum - baseline), floored at 0 and averaged over eight runs; higher is better.
Metric: Normalized Score. Source: leaderboard.sea-lion.ai. Saturation forecast: Around February 2027. 58 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemma 4 26B A4B (IT) (Reasoning) | 78.29 | #293 (Gemma 4 26B A4B (IT)) |
| 2 | Qwen 3 32B (Thinking) | 69.34 | #449 (Qwen 3 32B) |
| 3 | GPT-OSS-120B (Reasoning) | 68.18 | #346 (GPT-OSS-120B) |
| 4 | Qwen 3 14B (Reasoning) | 68.05 | #542 (Qwen 3 14B) |
| 5 | Qwen 3 8B (Thinking) | 64.9 | #678 (Qwen 3 8B) |
| 6 | Qwen 3.5 122B A10B (Reasoning) | 63.9 | #184 (Qwen 3.5 122B A10B) |
| 7 | Qwen 3.5 27B (Reasoning) | 59.04 | #192 (Qwen 3.5 27B) |
| 8 | Qwen 3.5 35B A3B (Reasoning) | 56.32 | #268 (Qwen 3.5 35B A3B) |
| 9 | GLM-4.7 Flash (Reasoning) | 54.31 | #543 (GLM-4.7 Flash) |
| 10 | Qwen 3.6 27B (Reasoning) | 53.7 | #182 (Qwen 3.6 27B) |
| 11 | Qwen 3.6 35B A3B (Reasoning) | 53.42 | #238 (Qwen 3.6 35B A3B) |
| 12 | Qwen 3 VL 32B Instruct | 50.53 | #290 |
| 13 | Qwen 3.5 9B (Reasoning) | 48.25 | #391 (Qwen 3.5 9B) |
| 14 | Qwen 3.5 4B (Reasoning) | 46.88 | #514 (Qwen 3.5 4B) |
| 15 | Qwen 3 VL 8B Instruct | 41.22 | #419 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=sea-helm-english-livecodebench-v6 · How It Works · Data refreshed daily, snapshot 2026-11-05.