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DeepSeek R1 Distill Qwen 32B vs GPT-5 mini
Comprehensive side-by-side LLM comparison
GPT-5 mini leads with 20.2% higher average benchmark score. GPT-5 mini offers 272.0K more tokens in context window than DeepSeek R1 Distill Qwen 32B. DeepSeek R1 Distill Qwen 32B is $1.95 cheaper per million tokens. GPT-5 mini supports multimodal inputs. Overall, GPT-5 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
GPT-5 Mini was created as a more accessible version of GPT-5, designed to provide strong capabilities with improved efficiency and lower operational costs. Built to extend GPT-5's advancements to a broader range of applications, it balances advanced performance with practical deployment considerations.
6 months newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
GPT-5 mini
OpenAI
2025-08-07
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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($1.95 cheaper)
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GPT-5 mini
Input:$0.25
Output:$2.00
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%
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GPT-5 mini
Average Score:82.3%(+20.2%)
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Knowledge Cutoff
Training data recency comparison
GPT-5 mini
2024-05-30
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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GPT-5 mini
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DeepSeek R1 Distill Qwen 32B
Avg Score:62.1%
Providers:1
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GPT-5 mini
Avg Score:82.3%(+20.2%)
Providers:2