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DeepSeek R1 Distill Qwen 32B vs Mistral Small 3 24B Base
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 32B leads with 27.7% higher average benchmark score. Mistral Small 3 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 24B Base was developed as a 24-billion-parameter foundation model, designed to serve as a base for fine-tuning and customization. Built to provide a strong starting point for domain-specific applications, it represents an intermediate-scale option in Mistral's model lineup.
10 days newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Mistral Small 3 24B Base
Mistral AI
2025-01-30
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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%(+27.7%)
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Mistral Small 3 24B Base
Average Score:34.4%
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Base
2023-10-01
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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Mistral Small 3 24B Base
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DeepSeek R1 Distill Qwen 32B
Avg Score:62.1%(+27.7%)
Providers:1
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Mistral Small 3 24B Base
Avg Score:34.4%
Providers:0