DeepSeek-R1-0528
#2MMLU-Redux
#2MMLU-Pro
#3SimpleQA
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by DeepSeek
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About
DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 60.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), SimpleQA (92.3%), AIME 2024 (91.4%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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Pricing Range
Input (per 1M)$0.50 -$0.70
Output (per 1M)$2.15 -$2.50
Providers3
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Timeline
AnnouncedMay 28, 2025
ReleasedMay 28, 2025
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License & Family
License
MIT
Base ModelDeepSeek-R1
Performance Overview
Performance metrics and category breakdown
Overall Performance
16 benchmarks
Average Score
60.1%
Best Score
93.4%
High Performers (80%+)
6Performance Metrics
Max Context Window
262.1KAvg Throughput
30.7 tok/sAvg Latency
1ms+
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All Benchmark Results for DeepSeek-R1-0528
Complete list of benchmark scores with detailed information
| MMLU-Redux | text | 0.93 | 93.4% | Self-reported | |
| SimpleQA | text | 0.92 | 92.3% | Self-reported | |
| AIME 2024 | text | 0.91 | 91.4% | Self-reported | |
| AIME 2025 | text | 0.88 | 87.5% | Self-reported | |
| MMLU-Pro | text | 0.85 | 85.0% | Self-reported | |
| GPQA | text | 0.81 | 81.0% | Self-reported | |
| HMMT 2025 | text | 0.79 | 79.4% | Self-reported | |
| LiveCodeBench | text | 0.73 | 73.3% | Self-reported | |
| Aider-Polyglot | text | 0.72 | 71.6% | Self-reported | |
| CodeForces | text | 0.64 | 64.3% | Self-reported |
Showing 1 to 10 of 16 benchmarks