FrontierCS

Progress Over Time

Interactive timeline showing model performance evolution on FrontierCS

State-of-the-art frontier
Open
Proprietary

FrontierCS Leaderboard

2 models
ContextCostLicense
1
ByteDance
ByteDance
2
ByteDance
ByteDance
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About this benchmark

What is FrontierCS?

FrontierCS is a benchmark of frontier computer-science problems requiring deep theoretical understanding and rigorous multi-step reasoning at the edge of the field.

FrontierCS is a text benchmark evaluating models on reasoning, science, and code tasks. LLM Stats tracks 2 models on this benchmark, scored on a 0–1 scale. The current average is 0.5, with the leader at 0.5.

Compare leaders on the best AI for reasoning, best AI for science and best AI for code leaderboards.

Current leaders

Seed 2.1 Turbo from ByteDance currently leads the FrontierCS leaderboard with a score of 0.508 across 2 evaluated AI models.

1Seed 2.1 TurboByteDance50.8%
2Seed 2.1 ProByteDance46.3%

FAQ

Common questions about the FrontierCS benchmark and leaderboard.

What is the FrontierCS benchmark?

FrontierCS is a benchmark of frontier computer-science problems requiring deep theoretical understanding and rigorous multi-step reasoning at the edge of the field.

What is the FrontierCS leaderboard?

The FrontierCS leaderboard ranks 2 AI models based on their performance on this benchmark. Currently, Seed 2.1 Turbo by ByteDance leads with a score of 0.508. The average score across all models is 0.486.

What is the highest FrontierCS score?

The highest FrontierCS score is 0.508, achieved by Seed 2.1 Turbo from ByteDance.

How many models are evaluated on FrontierCS?

2 models have been evaluated on the FrontierCS benchmark, with 0 verified results and 2 self-reported results.

What categories does FrontierCS cover?

FrontierCS is categorized under reasoning, science, and code. The benchmark evaluates text models.

How recent are the FrontierCS leaderboard results?

The FrontierCS leaderboard was last updated in June 2026 and currently includes 2 evaluated models.