DeepSeek R&D Coding Benchmark
DeepSeek-V4-Pro 67% Coding agents complete 30 tasks taken from DeepSeek internal R&D work in PyTorch, CUDA, Rust and C++. Human-written rubrics score each task.
In-house DeepSeek evaluation. The tasks come from internal repositories and are not public.
- Made by
- DeepSeek
- Released
- April 2026
- Kind
- Fixing real repositories
- Level
- Expert
- Scored
- Graded by people
- Answers
- Agent task
- Tasks
- Kept private
- Strongest model tested
- DeepSeek-V4-Pro #69 on the capability index
- Last in a system card
- April 2026
- Last model added
- April 2026
DeepSeek-V4-Pro leads with 67%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | DeepSeek-V4-Pro | 67% | Apr 2026 | Lab model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
Labs report it only in system cards
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Apr 26, 2026 | DeepSeek-V4-Pro technical report | 67 | R&D Coding Benchmark, Pass Rate, DeepSeek-V4-Pro-Max, 30 internal tasks (Table 8) | Capabilities |
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