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DeepSeek R1 Distill Qwen 32B vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 32B leads with 24.6% higher average benchmark score. Both models have similar pricing. Mistral Small 3.1 24B Base supports multimodal inputs. 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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Mistral AI
Mistral Small 3.1 24B Base represents an updated iteration of the 24B foundation model, developed with architectural refinements and improved training. Built to provide enhanced base capabilities for fine-tuning, it incorporates learnings from previous versions for better downstream performance.
1 month newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
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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($0.10 cheaper)
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Mistral Small 3.1 24B Base
Input:$0.10
Output:
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%(+24.6%)
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Mistral Small 3.1 24B Base
Average Score:37.5%
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 3.1 24B Base
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DeepSeek R1 Distill Qwen 32B
Avg Score:62.1%(+24.6%)
Providers:1
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Mistral Small 3.1 24B Base
Avg Score:37.5%
Providers:1