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DeepSeek R1 Distill Qwen 32B vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 32B leads with 29.3% higher average benchmark score. 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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Meta
Llama 3.2 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.
3 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
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 3.2 3B Instruct
Input:$0.01
Output:$0.02($0.27 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%(+29.3%)
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Llama 3.2 3B Instruct
Average Score:32.8%
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 3.2 3B Instruct
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DeepSeek R1 Distill Qwen 32B
Avg Score:62.1%(+29.3%)
Providers:1
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Llama 3.2 3B Instruct
Avg Score:32.8%
Providers:1