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Mistral Small 3 24B Instruct vs Phi-4-multimodal-instruct
Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct offers 192.0K more tokens in context window than Mistral Small 3 24B Instruct. Both models have similar pricing. Phi-4-multimodal-instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Mistral Small 24B Instruct was created as the instruction-tuned version of the 24B base model, designed to follow user instructions reliably. Built to serve general-purpose applications requiring moderate capability, it balances performance with deployment practicality.
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Microsoft
Phi-4 Multimodal was created to handle multiple input modalities including text, images, and potentially other formats. Built to extend Phi-4's efficiency into multimodal applications, it demonstrates that compact models can successfully integrate diverse information types.
2 days newer
Mistral Small 3 24B Instruct
Mistral AI
2025-01-30
Phi-4-multimodal-instruct
Microsoft
2025-02-01
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Pricing Comparison
Cost per million tokens (USD)
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Mistral Small 3 24B Instruct
Input:$0.07
Output:$0.14
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Phi-4-multimodal-instruct
Input:$0.05
Output:$0.10($0.06 cheaper)
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Instruct
2023-10-01
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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Mistral Small 3 24B Instruct
2 providers
DeepInfra
Throughput: 49 tok/s
Latency: 0.2ms
Mistral AI
Throughput: 134 tok/s
Latency: 0.2ms
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Mistral Small 3 24B Instruct
Avg Score:0.0%
Providers:2
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Phi-4-multimodal-instruct
Avg Score:0.0%
Providers:1