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.
Benchmark data & downloads
Where to get, inspect and reuse the data behind this benchmark.
Official benchmark page / paper
The benchmark maintainer's website, paper or leaderboard
Benchmark metadata (JSON)
This page's benchmark record from the Open LLM Radar API
All model scores (JSON download)
Full score table as JSON; paginate with limit/offset params
Open LLM Radar API docs
Swagger UI to explore and reuse all radar API endpoints
Model scores 5 models tested
| # | 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 |