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Codestral-22B vs Phi-4-multimodal-instruct
Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 28.1% higher average benchmark score. Phi-4-multimodal-instruct supports multimodal inputs. Overall, Phi-4-multimodal-instruct 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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Microsoft
Phi-4-multimodal-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 72.0% across 15 benchmarks. It excels particularly in ScienceQA Visual (97.5%), DocVQA (93.2%), MMBench (86.7%). 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 Microsoft's latest advancement in AI technology.
8 months newer
Codestral-22B
Mistral AI
2024-05-29
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Performance Metrics
Context window and performance specifications
Average performance across 22 common benchmarks
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Codestral-22B
Average Score:21.0%
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Phi-4-multimodal-instruct
Average Score:49.1%(+28.1%)
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Knowledge Cutoff
Training data recency comparison
Phi-4-multimodal-instruct
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Codestral-22B
0 providers
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Phi-4-multimodal-instruct
1 providers
DeepInfra
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Codestral-22B
Avg Score:21.0%
Providers:0
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Phi-4-multimodal-instruct
Avg Score:49.1%(+28.1%)
Providers:1