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DeepSeek R1 Distill Llama 70B vs Llama 3.1 70B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Llama 70B leads with 23.5% higher average benchmark score. Both models have similar pricing. Llama 3.1 70B Instruct is available on 9 providers. Overall, DeepSeek R1 Distill Llama 70B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Distill-Llama-70B was created through knowledge distillation from DeepSeek-R1 into a Llama-based architecture, designed to transfer reasoning capabilities to a widely-used open-source foundation. Built to combine DeepSeek's reasoning innovations with Llama's ecosystem compatibility, it enables broader access to advanced reasoning techniques.
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Meta
Llama 3.1 70B was created as a balanced open-source model, designed to provide strong performance with 70 billion parameters while remaining practical for many deployment scenarios. Built to serve as a versatile foundation for fine-tuning and application development, it combines capability with accessibility in the open-source ecosystem.
6 months newer
Llama 3.1 70B Instruct
Meta
2024-07-23
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek R1 Distill Llama 70B
Input:$0.10
Output:$0.40
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Llama 3.1 70B Instruct
Input:$0.20
Output:$0.20($0.10 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek R1 Distill Llama 70B
Average Score:65.2%(+23.5%)
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Llama 3.1 70B Instruct
Average Score:41.7%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Llama 70B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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Llama 3.1 70B Instruct
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DeepSeek R1 Distill Llama 70B
Avg Score:65.2%(+23.5%)
Providers:1
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Llama 3.1 70B Instruct
Avg Score:41.7%
Providers:9