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Codestral-22B vs DeepSeek VL2
Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 25.3% higher average benchmark score. DeepSeek VL2 supports multimodal inputs. Overall, DeepSeek VL2 is the stronger choice for coding tasks.
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Mistral AI
Codestral-22B is a language model developed by Mistral AI. It achieves strong performance with an average score of 65.9% across 7 benchmarks. It excels particularly in HumanEvalFIM-Average (91.6%), HumanEval (81.1%), MBPP (78.2%). Released in 2024, it represents Mistral AI's latest advancement in AI technology.
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DeepSeek
DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). It supports a 259K 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. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
6 months newer
Codestral-22B
Mistral AI
2024-05-29
DeepSeek VL2
DeepSeek
2024-12-13
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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Codestral-22B
Average Score:22.0%
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DeepSeek VL2
Average Score:47.3%(+25.3%)
Provider Availability & Performance
Available providers and their performance metrics
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Codestral-22B
0 providers
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DeepSeek VL2
1 providers
Replicate
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Codestral-22B
Avg Score:22.0%
Providers:0
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DeepSeek VL2
Avg Score:47.3%(+25.3%)
Providers:1