Coding benchmark
LiveCodeBench Pro leaderboard
Every model the catalog carries a published LiveCodeBench Pro value for, ranked by that value.
A harder competitive-programming benchmark family built from Codeforces, ICPC, and IOI problems, with quarter-specific public leaderboards and difficulty-aware reporting.
LiveCodeBench Pro ranking
8 models with a published LiveCodeBench Pro value, ordered by that value, highest first. Models the source has not scored on this benchmark are not listed — they are unmeasured, not last.
| Rank | Model | Provider | Competitive programming |
|---|---|---|---|
| 1 | SASakana Fugu-Ultra | Sakana AI | 90.8 |
| 2 | SASakana Fugu | Sakana AI | 87.8 |
| 3 |  GPT-5.4 | OpenAI | 87.5 |
| 4 |  Gemini 3.1 Pro | 82.9 | |
| 5 |  Muse Spark | Meta | 80.0 |
| 6 |  Grok 4.20 | xAI | 74.2 |
| 7 |  Claude Opus 4.6 | Anthropic | 70.7 |
| 8 | OPMiniCPM5-1B | OpenBMB | 22.7 |
Evidence key: Observed
Rows are ordered by the value LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming? published, highest first. The source does not state whether a higher value is the better result, so this page does not either: for a benchmark that measures a rate of failure, read the table from the bottom.