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DeepSeek R1 Distill Qwen 1.5B vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Base leads with 3.7% higher average benchmark score. Mistral Small 3.1 24B Base supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1-Distill-Qwen-1.5B was created through distillation into an ultra-compact Qwen architecture, designed to enable reasoning capabilities on resource-constrained devices. Built with just 1.5 billion parameters, it brings advanced analytical techniques to edge computing and mobile scenarios.
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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 1.5B
DeepSeek
2025-01-20
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
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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 1.5B
Average Score:33.8%
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Mistral Small 3.1 24B Base
Average Score:37.5%(+3.7%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 1.5B
0 providers
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Mistral Small 3.1 24B Base
1 providers
Mistral AI
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:33.8%
Providers:0
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Mistral Small 3.1 24B Base
Avg Score:37.5%(+3.7%)
Providers:1