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DeepSeek VL2 Tiny vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Tiny leads with 31.6% higher average benchmark score. Overall, DeepSeek VL2 Tiny is the stronger choice for coding tasks.
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DeepSeek
DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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Mistral AI
Mistral Small 3.1 24B Base is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 62.9% across 5 benchmarks. It excels particularly in MMLU (81.0%), TriviaQA (80.5%), MMMU (59.3%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
3 months newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Performance Metrics
Context window and performance specifications
Average performance across 18 common benchmarks
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DeepSeek VL2 Tiny
Average Score:49.1%(+31.6%)
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Mistral Small 3.1 24B Base
Average Score:17.5%
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:49.1%(+31.6%)
Providers:0
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Mistral Small 3.1 24B Base
Avg Score:17.5%
Providers:1