LiveCodeBench leaderboard (Sep 2026): AI model scores
As of 1 Sep 2026, the highest reported Alibaba score on LiveCodeBench is Qwen 3.8 Max (Alibaba) at 87.85%, #10 on that leaderboard, per Vals AI. The source no longer updates this leaderboard.
What it measures
Programming problems from LiveCodeBench, run by Vals AI.
Recent competitive-programming problems, collected after model training cut-offs to limit memorisation.
What the score means
Accuracy
Share of problems solved (all tests pass).
Results from published AI leaderboards. Compare models within each benchmark; scores from different tests aren’t directly comparable. How we collect these results
Scores by model
Run by Vals AI (benchmark by LiveCodeBench team). Leaderboard dated 1 Sep 2026 (no longer updated by the source). Last checked 22 Oct 2026. Showing top 25 of 143 models listed.
Highlight a provider: Anthropic OpenAI Google xAI DeepSeek Alibaba Moonshot
Highlighting Alibaba models. Other providers are dimmed. Show all providers
- Anthropic
- OpenAI
- xAI
- DeepSeek
- Alibaba
- Moonshot
- Other
- Accuracy
- Share of problems solved (all tests pass).
All scores
| Rank | Model | Provider | Accuracy | Price in / out ($/1M tokens) |
|---|---|---|---|---|
| 1 | Claude Fable 5.1 | Anthropic | 90.52% | $10 / $50 |
| 2 | Claude Fable 5 | Anthropic | 89.78% | $10 / $50 |
| 3 | Gemini 3.8 Flash | 89.48% | $1.5 / $7.5 | |
| 4 | Claude Opus 5 | Anthropic | 89.03% | $5 / $25 |
| 5 | Gemini 3.7 Flash | 88.65% | $1.5 / $7.5 | |
| 6 | Gemini 3.1 Pro Preview (02/26) | 88.48% | $2 / $12 | |
| 7 | Grok 4.6 | xAI | 88.22% | $2 / $6 |
| 8 | Gemini 3.6 Flash | 88.08% | $1.5 / $7.5 | |
| 9 | GPT 5.2 Codex | OpenAI | 87.99% | $1.75 / $14 |
| 10 | Qwen 3.8 Max | Alibaba | 87.85% | $2 / $6 |
Show 15 more rows
| Rank | Model | Provider | Accuracy | Price in / out ($/1M tokens) |
|---|---|---|---|---|
| 11 | Claude Opus 4.8 | Anthropic | 87.82% | $5 / $25 |
| 12 | Gemini 3.5 Flash | 87.60% | $1.5 / $9 | |
| 13 | DeepSeek V4 Pro 0813 | DeepSeek | 87.53% | $1.32 / $3.96 |
| 14 | DeepSeek V4 | DeepSeek | 87.48% | $1.32 / $3.96 |
| 15 | Grok 4.5 | xAI | 87.35% | $2 / $6 |
| 16 | GPT 5.3 Codex | OpenAI | 87.31% | $1.75 / $14 |
| 17 | DeepSeek V4 Flash 0731 | DeepSeek | 87.26% | $0.44 / $1.32 |
| 18 | Kimi K3 | Moonshot | 87.19% | $3 / $15 |
| 19 | Qwen 3.7 Max | Alibaba | 87.06% | $2.5 / $7.5 |
| 20 | Kimi K2.6 | Moonshot | 86.77% | $0.95 / $4 |
| 21 | GPT 5 Mini | OpenAI | 86.61% | $0.25 / $2 |
| 22 | GPT 5.1 | OpenAI | 86.49% | $1.25 / $10 |
| 23 | Gemini 3 Pro (11/25) | 86.41% | $2 / $12 | |
| 24 | Nemotron 3 Ultra | Other | 85.98% | N/A |
| 25 | Qwen 3.6 Plus | Alibaba | 85.95% | $0.5 / $3 |
Source: Vals AI leaderboard ↗ · LiveCodeBench project ↗
Best-ranked Alibaba model here: Qwen 3.8 Max (Alibaba). Browse prompts for any model →
Prompts for this kind of work
Copy-ready prompts from our library that match what LiveCodeBench tests. Run them on your own material to compare models.
