STEM & Reasoning Benchmark

CodeForces

CodeForces - competitive programming rating evaluated on custom query set.

Category

STEM & Reasoning

Score type

elo

Scale

relative

higher is better

Models tested

15

What is CodeForces?

The Codeforces rating evaluates models on competitive programming problems from Codeforces contests. The output is an Elo rating comparable to the human ladder — for scale: a professional competitive programmer sits far above 2000, world-class participants above 3000.

What does it test?

CodeForces measures hard reasoning in science, technology, engineering and math. In detail, it checks:

  • algorithmic problems under real contest conditions
  • efficient solutions that pass all hidden test cases within limits
  • implementation skill: complete programs, not fragments
  • head-to-head comparable Elo so ratings across models match

How to read the score

The score is an Elo rating, built from head-to-head comparisons between models (like chess ratings). The number is only meaningful relative to the other rated models — higher is better.

Frequently asked questions

What is the CodeForces benchmark?

The Codeforces rating evaluates models on competitive programming problems from Codeforces contests. The output is an Elo rating comparable to the human ladder — for scale: a professional competitive programmer sits far above 2000, world-class participants above 3000.

What does CodeForces test?

CodeForces mainly measures hard reasoning in science, technology, engineering and math. Concretely, it checks: algorithmic problems under real contest conditions; efficient solutions that pass all hidden test cases within limits; implementation skill: complete programs, not fragments.

How is the CodeForces score calculated?

The score is an Elo rating, built from head-to-head comparisons between models (like chess ratings). The number is only meaningful relative to the other rated models — higher is better.

Where do I get CodeForces data and scores?

The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/codeforces/scores) or pull it directly from the Open LLM Radar API with any HTTP client.

Model scores 15 models tested

Reset
# Model Score Date Source Verified
1 DeepSeek-V4.1-Flash
DeepSeek
3471 Elo
10.09.2026 Report Verified
2 DeepSeek-V4-Pro
DeepSeek
3206 Elo
26.06.2026 Report Verified
3 DeepSeek-V4-Flash
DeepSeek
3052 Elo
26.06.2026 Report Verified
4 GPT-OSS-120B
OpenAI
2463 Elo
08.08.2025 Report Verified
5 GPT-OSS-20B
OpenAI
2230 Elo
05.08.2025 Report Verified
6 Gemma4-31B-it
Google
2150 Elo
02.07.2026 Report Verified
7 Qwen3-235B-A22B
Qwen Team (Alibaba Cloud)
2146 Elo
01.02.2026 Report Unverified
8 Qwen3.5-122B-A10B
Qwen Team (Alibaba Cloud)
2100 Elo
01.02.2026 Report Verified
9 Qwen3.5-35B-A3B
Qwen Team (Alibaba Cloud)
2028 Elo
01.02.2026 Report Unverified
10 Qwen3.5-27B
Qwen Team (Alibaba Cloud)
1899 Elo
01.02.2026 Report Unverified
11 Gemma4-26B-A4B
Google
1718 Elo
02.07.2026 Report Verified
12 Gemma4-12B
Google
1659 Elo
02.07.2026 Report Verified
13 Gemma4-E4B
Google
940 Elo
02.07.2026 Report Verified
14 Gemma4-E2B
Google
633 Elo
02.07.2026 Report Verified
15 Gemma3-27B
Google
110 Elo
02.07.2026 Report Unverified

What now?

You've seen how models score on CodeForces — here's what to do next.