Agentic Coding Benchmark

CFEval

CFEval - Qwen's CodeForces-style competitive programming evaluation; score is an Elo-like rating (higher is better).

Category

Agentic Coding

Score type

elo

Scale

relative

higher is better

Models tested

1

What is CFEval?

CFEval is a benchmark for how well a model works as an autonomous coding agent. The official description says: "CFEval - Qwen's CodeForces-style competitive programming evaluation; score is an Elo-like rating (higher is better)". Below we describe in simple words what benchmarks of this type generally examine.

What does it test?

CFEval measures how well a model works as an autonomous coding agent. In detail, it checks:

  • fixing real, open bugs from real software repositories
  • planning multi-step changes, running commands and editing files by itself
  • passing the project's test suite after its changes
  • handling whole repositories, not just small isolated code snippets

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.

Official methodology note: CFEval - Qwen's CodeForces-style competitive programming evaluation; score is an Elo-like rating (higher is better).

Frequently asked questions

What is the CFEval benchmark?

CFEval is a benchmark for how well a model works as an autonomous coding agent. The official description says: 'CFEval - Qwen's CodeForces-style competitive programming evaluation; score is an Elo-like rating (higher is better)'. Below we describe in simple words what benchmarks of this type generally examine.

What does CFEval test?

CFEval mainly measures how well a model works as an autonomous coding agent. Concretely, it checks: fixing real, open bugs from real software repositories; planning multi-step changes, running commands and editing files by itself; passing the project's test suite after its changes.

How is the CFEval 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 CFEval data and scores?

The official source is https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Thinking. 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/cfeval/scores) or pull it directly from the Open LLM Radar API with any HTTP client.

Model scores 1 model tested

Reset
# Model Score Date Source Verified
1 Qwen3-Next-80B-A3B-Thinking
Qwen
2071 Elo
10.09.2025 Report Verified

What now?

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