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DeepSeek R1 Distill Llama 70B vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Llama 70B leads with 26.1% higher average benchmark score. Both models have similar pricing. Qwen2.5-Coder 32B Instruct is available on 4 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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Alibaba Cloud / Qwen Team
Qwen 2.5 Coder 32B was developed as a specialized coding model, designed to excel at programming tasks with 32 billion parameters specifically optimized for code. Built to understand and generate code across multiple programming languages, it serves developers requiring advanced code completion, debugging, and explanation capabilities.
4 months newer
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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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Qwen2.5-Coder 32B Instruct
Input:$0.09
Output:$0.09($0.32 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:57.5%(+26.1%)
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Qwen2.5-Coder 32B Instruct
Average Score:31.4%
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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Qwen2.5-Coder 32B Instruct
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DeepSeek R1 Distill Llama 70B
Avg Score:57.5%(+26.1%)
Providers:1
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Qwen2.5-Coder 32B Instruct
Avg Score:31.4%
Providers:4