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BenchLM

LiveCodeBench Pro

We show this table for reference; we do not rank on it.

Data verified 34 confirmed releases in the last 30 daysFollow model changes

A harder competitive-programming benchmark family built from Codeforces, ICPC, and IOI problems, with quarter-specific public leaderboards and difficulty-aware reporting.

Benchmark score on LiveCodeBench Pro — September 27, 2026

We compile the LiveCodeBench Pro rows from provider self-reports and secondary reports. Sakana Fugu-Ultra leads the table at 90.8%, followed by Sakana Fugu (87.8%) and GPT-5.4 (87.5%). We do not use these results to rank models overall.

8 modelsCodingCurrentDisplay onlyUpdated September 27, 2026

Benchmark score table (8 models)

Score
1
Sakana Fugu-UltraSakana AI · Closed
90.8%
2
Sakana FuguSakana AI · Closed
87.8%
3
GPT-5.4OpenAI · Closed
87.5%
4
Gemini 3.1 ProGoogle · Closed
82.9%
5
Muse SparkMeta · Closed
80.0%
6
Grok 4.20xAI · Closed
74.2%
7
Claude Opus 4.6Anthropic · Closed
70.7%
8
MiniCPM5-1BOpenBMB · Open weight
22.7%

Among the reported LiveCodeBench Pro rows, Sakana Fugu-Ultra is first at 90.8%. The third row is 3.3 points behind. The broader top-10 range is 68.1 points, so the table still separates the published systems.

8 models have been evaluated on LiveCodeBench Pro. The benchmark falls in the Coding category. LiveCodeBench Pro is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About LiveCodeBench Pro

Year

2025

Tasks

Quarter-specific contest programming sets

Format

Competitive programming

Difficulty

High-end contest programming

LiveCodeBench Pro is distinct from the original LiveCodeBench family. It excludes LeetCode, emphasizes stronger contest difficulty, and the official site publishes quarter-specific leaderboards such as 25Q2 with hard, medium, and easy pass rates.

Freshness and provenance

Version

LiveCodeBench Pro 2025

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

CurrentDisplay only

BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.

Questions

What does LiveCodeBench Pro measure?

A harder competitive-programming benchmark family built from Codeforces, ICPC, and IOI problems, with quarter-specific public leaderboards and difficulty-aware reporting.

Which model scores highest on LiveCodeBench Pro?

Sakana Fugu-Ultra by Sakana AI currently leads with a score of 90.8% on LiveCodeBench Pro.

How many models are evaluated on LiveCodeBench Pro?

8 AI models have been evaluated on LiveCodeBench Pro on BenchLM.

Last updated: September 27, 2026 · BenchLM version LiveCodeBench Pro 2025

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