Agentic Coding Benchmark

Kimi Code Bench V2

In-house benchmark by Moonshot AI designed to evaluate coding agents on realistic tasks. It has diverse software engineering tasks across 10+ mainstream programming languages and a full production tech stack covering tasks from internal engineering use cases, production incidents, and real-world open-source projects, with emphasis on backend services, infrastructure, performance engineering, systems programming, security, frontend development, and ML/data engineering.

Category

Agentic Coding

Score type

percent

Scale

100%

higher is better

Models tested

5

What is Kimi Code Bench V2?

Kimi Code Bench V2 is a benchmark for how well a model works as an autonomous coding agent. The official description says: "In-house benchmark by Moonshot AI designed to evaluate coding agents on realistic tasks". Below we describe in simple words what benchmarks of this type generally examine.

What does it test?

Kimi Code Bench V2 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: In-house benchmark by Moonshot AI designed to evaluate coding agents on realistic tasks. It has diverse software engineering tasks across 10+ mainstream programming languages and a full production tech stack covering tasks from internal engineering use cases, production incidents, and real-world open-source projects, with emphasis on backend services, infrastructure, performance engineering, systems programming, security, frontend development, and ML/data engineering.

Frequently asked questions

What is the Kimi Code Bench V2 benchmark?

Kimi Code Bench V2 is a benchmark for how well a model works as an autonomous coding agent. The official description says: 'In-house benchmark by Moonshot AI designed to evaluate coding agents on realistic tasks'. Below we describe in simple words what benchmarks of this type generally examine.

What does Kimi Code Bench V2 test?

Kimi Code Bench V2 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 Kimi Code Bench V2 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 Kimi Code Bench V2 data and scores?

The official source is https://www.kimi.com/code. 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/kimi-code-bench-v2/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 K3.1 Pro
Moonshot AI
77.1%
07.11.2026 Report Verified
2 DeepSeek-V4.1-Flash-1017
DeepSeek
76.1%
07.11.2026 Kimi K3.1 Pro model card comparison column (max effort) https://huggingface.co/moonshotai/Kimi-K3.1-Pro Unverified
3 Kimi K2.7 Code
Moonshot AI
62%
23.08.2026 Report Verified
4 GLM-5.3
Zhipu AI
61.7%
07.11.2026 Kimi K3.1 Pro model card comparison column (max effort) https://huggingface.co/moonshotai/Kimi-K3.1-Pro Unverified
5 Kimi K2.6
Moonshot AI
50.9%
23.08.2026 Report Verified

What now?

You've seen how models score on Kimi Code Bench V2 — here's what to do next.