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DeepSeek VL2 vs Mistral Small 3.2 24B Instruct
Comprehensive side-by-side LLM comparison
Mistral Small 3.2 24B Instruct leads with 6.0% higher average benchmark score. Overall, Mistral Small 3.2 24B Instruct is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-VL2 was developed as a vision-language model, designed to handle both visual and textual inputs for multimodal understanding tasks. Built to extend DeepSeek's capabilities beyond text-only processing, it enables applications requiring integrated analysis of images and language.
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Mistral AI
Mistral Small 3.2 24B Instruct represents a further evolution of the Small model series, developed with continued refinements to instruction-following and task performance. Built to incorporate ongoing improvements, it provides the latest capabilities in Mistral's intermediate-scale offering.
6 months newer
DeepSeek VL2
DeepSeek
2024-12-13
Mistral Small 3.2 24B Instruct
Mistral AI
2025-06-20
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Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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DeepSeek VL2
Average Score:74.9%
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Mistral Small 3.2 24B Instruct
Average Score:81.0%(+6.0%)
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3.2 24B Instruct
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 VL2
1 providers
Replicate
Throughput: 22 tok/s
Latency: 0.5ms
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Mistral Small 3.2 24B Instruct
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DeepSeek VL2
Avg Score:74.9%
Providers:1
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Mistral Small 3.2 24B Instruct
Avg Score:81.0%(+6.0%)
Providers:0