DeepSeek R1 Distill Llama 70B
Zero-eval
by DeepSeek
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About
DeepSeek R1 Distill Llama 70B is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.0% across 4 benchmarks. It excels particularly in MATH-500 (94.5%), AIME 2024 (86.7%), GPQA (65.2%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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)$0.10 -$0.10
Output (per 1M)$0.40 -$0.40
Providers1
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Timeline
AnnouncedJan 20, 2025
ReleasedJan 20, 2025
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Specifications
Training Tokens14.8T
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License & Family
License
MIT
Performance Overview
Performance metrics and category breakdown
Overall Performance
4 benchmarks
Average Score
76.0%
Best Score
94.5%
High Performers (80%+)
2Performance Metrics
Max Context Window
256.0KAvg Throughput
37.0 tok/sAvg Latency
1ms+
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All Benchmark Results for DeepSeek R1 Distill Llama 70B
Complete list of benchmark scores with detailed information
| MATH-500 | text | 0.94 | 94.5% | Self-reported | |
| AIME 2024 | text | 0.87 | 86.7% | Self-reported | |
| GPQA | text | 0.65 | 65.2% | Self-reported | |
| LiveCodeBench | text | 0.57 | 57.5% | Self-reported |