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DeepSeek R1 Distill Qwen 32B vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 32B leads with 27.1% higher average benchmark score. DeepSeek R1 Distill Qwen 32B offers 116.7K more tokens in context window than Qwen2.5 7B Instruct. Both models have similar pricing. 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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Alibaba Cloud / Qwen Team
Qwen 2.5 7B was created as an efficient instruction-tuned model, designed to provide capable performance with just 7 billion parameters. Built for applications requiring reliable language understanding with minimal computational overhead, it serves as an accessible entry point to the Qwen 2.5 family.
4 months newer
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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($0.30 cheaper)
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Qwen2.5 7B Instruct
Input:$0.30
Output:
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek R1 Distill Qwen 32B
Average Score:59.7%(+27.1%)
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Qwen2.5 7B Instruct
Average Score:32.6%
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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Qwen2.5 7B Instruct
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DeepSeek R1 Distill Qwen 32B
Avg Score:59.7%(+27.1%)
Providers:1
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Qwen2.5 7B Instruct
Avg Score:32.6%
Providers:1