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.
Benchmark data & downloads
Where to get, inspect and reuse the data behind this benchmark.
Model scores 15 models tested
| # | 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 |