Agentic Coding Benchmark

Program Bench

Evaluates code-generation agents by asking them to recreate a program's behavior from only a compiled binary and its documentation. It spans 200 tasks, from small CLI tools to large systems like FFmpeg and SQLite. Submissions are judged against over 248,000 fuzz-generated behavioral tests. In each task, the agent is given an executable and its documentation, but no source code, decompilation, or internet access. It must choose its own implementation language, build the full program from scratch, and pass a behavioral test suite comparing its output against the original binary.

Category

Agentic Coding

Score type

percent

Scale

100%

higher is better

Models tested

5

What is Program Bench?

Program Bench is a benchmark for how well a model works as an autonomous coding agent. The official description says: "Evaluates code-generation agents by asking them to recreate a program's behavior from only a compiled binary and its documentation". Below we describe in simple words what benchmarks of this type generally examine.

What does it test?

Program Bench 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: Evaluates code-generation agents by asking them to recreate a program's behavior from only a compiled binary and its documentation. It spans 200 tasks, from small CLI tools to large systems like FFmpeg and SQLite. Submissions are judged against over 248,000 fuzz-generated behavioral tests. In each task, the agent is given an executable and its documentation, but no source code, decompilation, or internet access. It must choose its own implementation language, build the full program from scratch, and pass a behavioral test suite comparing its output against the original binary.

Frequently asked questions

What is the Program Bench benchmark?

Program Bench is a benchmark for how well a model works as an autonomous coding agent. The official description says: 'Evaluates code-generation agents by asking them to recreate a program's behavior from only a compiled binary and its documentation'. Below we describe in simple words what benchmarks of this type generally examine.

What does Program Bench test?

Program Bench 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 Program Bench 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 Program Bench data and scores?

The official source is https://programbench.com/. 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/program-bench/scores) or pull it directly from the Open LLM Radar API with any HTTP client.

Model scores 5 models tested

Reset
# Model Score Date Source Verified
1 Kimi K2.7 Code
Moonshot AI
53.6%
23.08.2026 Report Verified
2 Kimi K2.6
Moonshot AI
48.3%
23.08.2026 Report Verified
3 Kimi K3.1 Pro
Moonshot AI
31.5%
07.11.2026 Report Verified
4 DeepSeek-V4.1-Flash-1017
DeepSeek
29.1%
07.11.2026 Kimi K3.1 Pro model card comparison column (max effort) https://huggingface.co/moonshotai/Kimi-K3.1-Pro Unverified
5 GLM-5.3
Zhipu AI
19%
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 Program Bench — here's what to do next.