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DeepSeek R1 Distill Qwen 32B vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 9.5% higher average benchmark score. o3-mini offers 44.0K more tokens in context window than DeepSeek R1 Distill Qwen 32B. DeepSeek R1 Distill Qwen 32B is $5.20 cheaper per million tokens. Overall, o3-mini 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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OpenAI
o3-mini was created as an efficient variant of the o3 reasoning model, designed to provide advanced thinking capabilities with reduced computational requirements. Built to make next-generation reasoning accessible to a broader range of applications, it balances analytical depth with practical speed and cost considerations.
10 days newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
o3-mini
OpenAI
2025-01-30
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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($5.20 cheaper)
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o3-mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek R1 Distill Qwen 32B
Average Score:72.7%
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o3-mini
Average Score:82.3%(+9.5%)
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
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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o3-mini
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DeepSeek R1 Distill Qwen 32B
Avg Score:72.7%
Providers:1
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o3-mini
Avg Score:82.3%(+9.5%)
Providers:2