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DeepSeek VL2 Tiny vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Base leads with 18.6% higher average benchmark score. Overall, Mistral Small 3.1 24B Base is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-VL2-Tiny was developed as an ultra-efficient vision-language model, designed for deployment in resource-constrained environments. Built to enable multimodal AI on edge devices and mobile applications, it distills vision-language capabilities into a minimal footprint for widespread accessibility.
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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.
3 months newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
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 VL2 Tiny
Average Score:40.7%
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Mistral Small 3.1 24B Base
Average Score:59.3%(+18.6%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Tiny
0 providers
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Mistral Small 3.1 24B Base
1 providers
Mistral AI
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DeepSeek VL2 Tiny
Avg Score:40.7%
Providers:0
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Mistral Small 3.1 24B Base
Avg Score:59.3%(+18.6%)
Providers:1