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DeepSeek-V3 vs Mistral Small 3 24B Base
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 28.5% higher average benchmark score. Mistral Small 3 24B Base supports multimodal inputs. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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Mistral AI
Mistral Small 3 24B Base is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 67.0% across 9 benchmarks. It excels particularly in ARC-C (91.3%), GSM8k (80.7%), MMLU (80.7%). 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.
1 month newer
DeepSeek-V3
DeepSeek
2024-12-25
Mistral Small 3 24B Base
Mistral AI
2025-01-30
Performance Metrics
Context window and performance specifications
Average performance across 26 common benchmarks
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DeepSeek-V3
Average Score:51.7%(+28.5%)
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Mistral Small 3 24B Base
Average Score:23.2%
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Base
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 24B Base
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DeepSeek-V3
Avg Score:51.7%(+28.5%)
Providers:1
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Mistral Small 3 24B Base
Avg Score:23.2%
Providers:0