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Phi-4-multimodal-instruct vs Pixtral-12B
Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 12.1% higher average benchmark score. Phi-4-multimodal-instruct offers 119.8K more tokens in context window than Pixtral-12B. Both models have similar pricing. Overall, Phi-4-multimodal-instruct is the stronger choice for coding tasks.
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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.
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Mistral AI
Pixtral-12B is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 66.8% across 12 benchmarks. It excels particularly in DocVQA (90.7%), ChartQA (81.8%), VQAv2 (78.6%). It supports a 136K 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 2024, it represents Mistral AI's latest advancement in AI technology.
4 months newer
Pixtral-12B
Mistral AI
2024-09-17
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Pricing Comparison
Cost per million tokens (USD)
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Phi-4-multimodal-instruct
Input:$0.05
Output:$0.10($0.15 cheaper)
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Pixtral-12B
Input:$0.15
Output:$0.15
Performance Metrics
Context window and performance specifications
Average performance across 23 common benchmarks
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Phi-4-multimodal-instruct
Average Score:47.0%(+12.1%)
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Pixtral-12B
Average Score:34.9%
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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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Phi-4-multimodal-instruct
1 providers
DeepInfra
Throughput: 25 tok/s
Latency: 0.5ms
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Pixtral-12B
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Phi-4-multimodal-instruct
Avg Score:47.0%(+12.1%)
Providers:1
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Pixtral-12B
Avg Score:34.9%
Providers:1