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DeepSeek R1 Distill Qwen 32B vs o1-mini
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 32B leads with 3.2% higher average benchmark score. DeepSeek R1 Distill Qwen 32B offers 62.5K more tokens in context window than o1-mini. DeepSeek R1 Distill Qwen 32B is $14.70 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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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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OpenAI
o1-mini was created as a faster, more cost-effective reasoning model, designed to bring extended thinking capabilities to applications with tighter latency and budget constraints. Built to excel particularly in coding and STEM reasoning while maintaining affordability, it provides a more accessible entry point to reasoning-enhanced AI assistance.
4 months newer
o1-mini
OpenAI
2024-09-12
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($14.70 cheaper)
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o1-mini
Input:$3.00
Output:$12.00
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek R1 Distill Qwen 32B
Average Score:78.2%(+3.2%)
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o1-mini
Average Score:75.0%
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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o1-mini
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DeepSeek R1 Distill Qwen 32B
Avg Score:78.2%(+3.2%)
Providers:1
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o1-mini
Avg Score:75.0%
Providers:2