DeepSeek-V3 0324
Zero-eval
by DeepSeek
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About
DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). It supports a 328K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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Pricing Range
Input (per 1M)$0.28 -$0.28
Output (per 1M)$1.14 -$1.14
Providers1
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Timeline
AnnouncedMar 25, 2025
ReleasedMar 25, 2025
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Specifications
Training Tokens14.8T
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License & Family
License
MIT + Model License (Commercial use allowed)
Performance Overview
Performance metrics and category breakdown
Overall Performance
5 benchmarks
Average Score
70.4%
Best Score
94.0%
High Performers (80%+)
2Performance Metrics
Max Context Window
327.7K+
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All Benchmark Results for DeepSeek-V3 0324
Complete list of benchmark scores with detailed information
| MATH-500 | text | 0.94 | 94.0% | Self-reported | |
| MMLU-Pro | text | 0.81 | 81.2% | Self-reported | |
| GPQA | text | 0.68 | 68.4% | Self-reported | |
| AIME 2024 | text | 0.59 | 59.4% | Self-reported | |
| LiveCodeBench | text | 0.49 | 49.2% | Self-reported |