Agentic Coding Benchmark

BenchCAD w/o tools

BenchCAD on 1,000-case subsets randomly sampled from the 17,900-case Vision2Code dataset, max reasoning effort, single-shot generation with official prompts and scoring (no tools).

Category

Agentic Coding

Score type

percent

Scale

100%

higher is better

Models tested

2

What is BenchCAD w/o tools?

BenchCAD w/o tools is a benchmark for how well a model works as an autonomous coding agent. The official description says: "BenchCAD on 1,000-case subsets randomly sampled from the 17,900-case Vision2Code dataset, max reasoning effort, single-shot generation with official prompts and scoring (no tools)". Below we describe in simple words what benchmarks of this type generally examine.

What does it test?

BenchCAD w/o tools 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 accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

Official methodology note: BenchCAD on 1,000-case subsets randomly sampled from the 17,900-case Vision2Code dataset, max reasoning effort, single-shot generation with official prompts and scoring (no tools).

Frequently asked questions

What is the BenchCAD w/o tools benchmark?

BenchCAD w/o tools is a benchmark for how well a model works as an autonomous coding agent. The official description says: 'BenchCAD on 1,000-case subsets randomly sampled from the 17,900-case Vision2Code dataset, max reasoning effort, single-shot generation with official prompts and scoring (no tools)'. Below we describe in simple words what benchmarks of this type generally examine.

What does BenchCAD w/o tools test?

BenchCAD w/o tools 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 BenchCAD w/o tools score calculated?

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.

Where do I get BenchCAD w/o tools data and scores?

The official source is https://huggingface.co/moonshotai/Kimi-K3.1-Pro. 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/benchcad-without-tools/scores) or pull it directly from the Open LLM Radar API with any HTTP client.

Model scores 2 models tested

Reset
# Model Score Date Source Verified
1 Kimi K3.1 Pro
Moonshot AI
72.8%
07.11.2026 Report Verified
2 DeepSeek-V4.1-Flash-1017
DeepSeek
41.2%
07.11.2026 Kimi K3.1 Pro model card comparison column (max effort) https://huggingface.co/moonshotai/Kimi-K3.1-Pro Unverified

What now?

You've seen how models score on BenchCAD w/o tools — here's what to do next.