DeepSeek search Q&A evaluation
DeepSeek-V4-Pro 28.1% Models answer objective and subjective Chinese search questions with retrieval or agentic search. Pairwise judging gives win, loss and tie rates.
In-house DeepSeek evaluation. The prompts are not public.
- Made by
- DeepSeek
- Released
- April 2026
- Kind
- Questions that need search
- Level
- Everyday
- Scored
- Ranked by matches
- Answers
- Open-ended
- 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
Only DeepSeek-V4-Pro has a rating here, from its lab’s own post
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. A rating ranks a model only against others rated in the same arena at the same time, so these don’t show who leads.
- 1 DeepSeek-V4-Pro 28.1%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | DeepSeek-V4-Pro | 28.1% | 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 | 28.1 | Search Q&A, retrieval augmented search, total V4 win rate vs DeepSeek-V3.2 over 956 questions, V3.2 10.4, tie 61.5 (Table 11) | Capabilities |
More in Knowledge
- MMLU-Pro In use Harder 10-option version of MMLU with reasoning-focused questions across 14 subjects.
Intern-S2-397B 89.8% - SuperGPQA In use 26,529 graduate-level multiple-choice questions across 285 disciplines. Accuracy.
Qwen 3.6 Max (Preview) 73.9% - WideSearch In use 200 bilingual broad info-seeking tasks: agent collects many atomic facts into a table. Scored by success rate and row/item F1.
Tencent Hy4 preview 83.9% - BBEH micro average In use Models solve harder replacements for each of the 23 BIG-Bench Hard tasks, 4,520 examples in total. The score is the share of all examples answered correctly.
Gemma 4 31B IT 74.4% - KMMLU-Pro In use Models answer multiple-choice questions taken from Korean National Professional Licensure exams. It tests professional knowledge used in Korean industry.
Solar Pro 4 79.2% - HLE-Verified In use Verified and revised version of Humanity's Last Exam (1,811 items) with uncertain items removed.
Seed2.0 Pro 73.6%