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DeepSeek-V3 vs Mistral Small 3.2 24B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 10.6% higher average benchmark score. Mistral Small 3.2 24B Instruct supports multimodal inputs. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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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.
5 months newer
DeepSeek-V3
DeepSeek
2024-12-25
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 4 common benchmarks
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DeepSeek-V3
Average Score:62.1%(+10.6%)
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Mistral Small 3.2 24B Instruct
Average Score:51.5%
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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-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Mistral Small 3.2 24B Instruct
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DeepSeek-V3
Avg Score:62.1%(+10.6%)
Providers:1
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Mistral Small 3.2 24B Instruct
Avg Score:51.5%
Providers:0