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DeepSeek R1 Distill Qwen 32B vs Llama 3.1 8B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 32B leads with 31.7% higher average benchmark score. Llama 3.1 8B Instruct offers 6.1K more tokens in context window than DeepSeek R1 Distill Qwen 32B. Both models have similar pricing. Llama 3.1 8B Instruct is available on 9 providers. Overall, DeepSeek R1 Distill Qwen 32B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Distill-Qwen-32B was created as a larger distilled variant, designed to transfer more of DeepSeek-R1's reasoning capabilities into a Qwen-based foundation. Built to serve applications requiring enhanced analytical depth, it represents a powerful option in the distilled reasoning model family.
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Meta
Llama 3.1 8B was developed as an efficient open-source model, designed to bring capable instruction-following to applications with limited computational resources. Built with 8 billion parameters, it provides a lightweight option for developers seeking reliable performance without the overhead of larger models.
6 months newer
Llama 3.1 8B Instruct
Meta
2024-07-23
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek R1 Distill Qwen 32B
Input:$0.12
Output:$0.18
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Llama 3.1 8B Instruct
Input:$0.03
Output:$0.03($0.24 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek R1 Distill Qwen 32B
Average Score:62.1%(+31.7%)
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Llama 3.1 8B Instruct
Average Score:30.4%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 8B Instruct
2023-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 32B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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Llama 3.1 8B Instruct
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DeepSeek R1 Distill Qwen 32B
Avg Score:62.1%(+31.7%)
Providers:1
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Llama 3.1 8B Instruct
Avg Score:30.4%
Providers:9