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DeepSeek R1 Distill Qwen 32B vs Mistral Small
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 32B offers 190.5K more tokens in context window than Mistral Small. Both models have similar pricing. 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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Mistral AI
Mistral Small is a language model developed by Mistral AI. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
4 months newer
Mistral Small
Mistral AI
2024-09-17
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($0.50 cheaper)
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Mistral Small
Input:$0.20
Output:$0.60
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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DeepSeek R1 Distill Qwen 32B
Average Score:74.2%(+74.2%)
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Mistral Small
Average Score:0.0%
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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Mistral Small
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DeepSeek R1 Distill Qwen 32B
Avg Score:74.2%(+74.2%)
Providers:1
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Mistral Small
Avg Score:0.0%
Providers:1