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DeepSeek R1 Distill Qwen 32B vs GPT-3.5 Turbo
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 32B leads with 31.3% higher average benchmark score. DeepSeek R1 Distill Qwen 32B offers 235.5K more tokens in context window than GPT-3.5 Turbo. DeepSeek R1 Distill Qwen 32B is $1.70 cheaper per million tokens. 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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OpenAI
GPT-3.5 Turbo was developed as an optimized version of GPT-3.5, designed to provide a balance of capability and efficiency for conversational and completion tasks. Built to serve as a cost-effective option for applications requiring reliable language understanding and generation, it became widely adopted for chatbots, content generation, and general-purpose AI assistance.
1 year newer
GPT-3.5 Turbo
OpenAI
2023-03-21
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($1.70 cheaper)
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GPT-3.5 Turbo
Input:$0.50
Output:$1.50
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%(+31.3%)
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GPT-3.5 Turbo
Average Score:30.8%
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Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
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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GPT-3.5 Turbo
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DeepSeek R1 Distill Qwen 32B
Avg Score:62.1%(+31.3%)
Providers:1
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GPT-3.5 Turbo
Avg Score:30.8%
Providers:2