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DeepSeek R1 Distill Qwen 32B vs GPT-3.5 Turbo
Comprehensive side-by-side LLM comparison
GPT-3.5 Turbo leads with 3.8% 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. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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OpenAI
GPT-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.
1 year newer
GPT-3.5 Turbo
OpenAI
2023-03-21
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
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 11 common benchmarks
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DeepSeek R1 Distill Qwen 32B
Average Score:27.0%
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GPT-3.5 Turbo
Average Score:30.7%(+3.8%)
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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:27.0%
Providers:1
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GPT-3.5 Turbo
Avg Score:30.7%(+3.8%)
Providers:2