DeepSeek-V4-ProvsDeepSeek-R1-0528
Across 5 shared benchmarks, DeepSeek-R1-0528 leads overall: DeepSeek-V4-Pro wins 1, DeepSeek-R1-0528 wins 4, with 0 ties and an average score difference of -4.14.
DeepSeek-V4-Pro
DeepSeek-AI · 2026-04-24 · Reasoning model
DeepSeek-R1-0528
DeepSeek-AI · 2025-05-28 · Reasoning model
DeepSeek-V4-Pro1 win(20%)(80%)4 winsDeepSeek-R1-0528
Benchmark scores
Grouped by capability, sorted by largest gap within each. 5 shared benchmarks.
General Knowledge
DeepSeek-R1-0528 3/3| Benchmark | DeepSeek-V4-Pro | DeepSeek-R1-0528 | Diff |
|---|---|---|---|
| HLE | 7.70133 / 149Normal (No Tools) | 17.70103 / 149thinking | -10 |
| GPQA Diamond | 72.9099 / 175Normal (No Tools) | 8166 / 175thinking | -8.10 |
| MMLU Pro | 82.9044 / 124Normal (No Tools) | 8523 / 124 |
Specs
| Field | DeepSeek-V4-Pro | DeepSeek-R1-0528 |
|---|---|---|
| Publisher | DeepSeek-AI | DeepSeek-AI |
| Release date | 2026-04-24 | 2025-05-28 |
| Model type | Reasoning model | Reasoning model |
| Architecture | MoE | MoE |
| Parameters | 16000.0 | 6710.0 |
| Context length | 1M | 64K |
| Max output | 384000 | 64000 |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | DeepSeek-V4-Pro | DeepSeek-R1-0528 |
|---|---|---|
| Text input | $1.74 / 1M tokens | 0.55 美元/ 100 万tokens |
| Text output | $3.48 / 1M tokens | 2.19 美元/ 100 万tokens |
| Cache read | $0.145 / 1M tokens | Not public |
| Cache write | $1.74 / 1M tokens | Not public |
Summary
- DeepSeek-R1-0528leads in:General Knowledge (3/3)
- Tied in:Coding and Software Engineer
On average across the 5 shared benchmarks, DeepSeek-R1-0528 scores 4.14 higher.
Largest single-benchmark gap: LiveCodeBench — DeepSeek-V4-Pro 56.80 vs DeepSeek-R1-0528 73.30 (-16.50).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.