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DeepSeek R1 Distill Llama 70B vs Qwen3 32B
Comprehensive side-by-side LLM comparison
Qwen3 32B leads with 1.5% higher average benchmark score. Both models have similar pricing. Qwen3 32B is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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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
Qwen3 32B was developed as a dense 32-billion-parameter model in the Qwen3 family, designed to provide strong language understanding without mixture-of-experts complexity. Built for applications requiring straightforward deployment and reliable performance, it serves as a capable mid-to-large-scale foundation model.
3 months newer
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
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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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Qwen3 32B
Input:$0.10
Output:$0.30($0.10 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek R1 Distill Llama 70B
Average Score:72.1%
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Qwen3 32B
Average Score:73.6%(+1.5%)
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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Qwen3 32B
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DeepSeek R1 Distill Llama 70B
Avg Score:72.1%
Providers:1
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Qwen3 32B
Avg Score:73.6%(+1.5%)
Providers:3