xdev-bench-hard
Internal expert-curated source-code vulnerability discovery and exploitation benchmark; pass@3 over a random subset of runs; Kimi Code harness.
Category
Safety
Score type
percent
Scale
100%
higher is better
Models tested
3
What is xdev-bench-hard?
xdev-bench-hard is a benchmark for safe and responsible behaviour. The official description says: "Internal expert-curated source-code vulnerability discovery and exploitation benchmark; pass@3 over a random subset of runs; Kimi Code harness". Below we describe in simple words what benchmarks of this type generally examine.
What does it test?
xdev-bench-hard measures safe and responsible behaviour. In detail, it checks:
- refusing harmful requests while still helping on benign ones
- resisting attempts to bypass safety rules
- avoiding dangerous, inaccurate or policy-violating output
- flagging uncertainty instead of confidently producing unsafe answers
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: Internal expert-curated source-code vulnerability discovery and exploitation benchmark; pass@3 over a random subset of runs; Kimi Code harness.
Frequently asked questions
What is the xdev-bench-hard benchmark?
xdev-bench-hard is a benchmark for safe and responsible behaviour. The official description says: 'Internal expert-curated source-code vulnerability discovery and exploitation benchmark; pass@3 over a random subset of runs; Kimi Code harness'. Below we describe in simple words what benchmarks of this type generally examine.
What does xdev-bench-hard test?
xdev-bench-hard mainly measures safe and responsible behaviour. Concretely, it checks: refusing harmful requests while still helping on benign ones; resisting attempts to bypass safety rules; avoiding dangerous, inaccurate or policy-violating output.
How is the xdev-bench-hard 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 xdev-bench-hard 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/xdev-bench-hard/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 3 models tested
| # | Model | Score | Date | Source | Verified |
|---|---|---|---|---|---|
| 1 |
DeepSeek-V4.1-Flash-1017
DeepSeek
|
85.7%
|
07.11.2026 | Kimi K3.1 Pro model card comparison column (max effort) https://huggingface.co/moonshotai/Kimi-K3.1-Pro | Unverified |
| 2 |
Kimi K3.1 Pro
Moonshot AI
|
81%
|
07.11.2026 | Report | Verified |
| 3 |
GLM-5.3
Zhipu AI
|
57.1%
|
07.11.2026 | Kimi K3.1 Pro model card comparison column (max effort) https://huggingface.co/moonshotai/Kimi-K3.1-Pro | Unverified |