Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 30.4% higher average benchmark score. Phi-4-multimodal-instruct is $7.85 cheaper per million tokens. Overall, Phi-4-multimodal-instruct is the stronger choice for coding tasks.
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.
Mistral AI
Pixtral Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). 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. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
2 months newer
Pixtral Large
Mistral AI
2024-11-18
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Cost per million tokens (USD)
Phi-4-multimodal-instruct
Pixtral Large
Context window and performance specifications
Average performance across 17 common benchmarks
Phi-4-multimodal-instruct
Pixtral Large
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics
Phi-4-multimodal-instruct
DeepInfra
Pixtral Large
Phi-4-multimodal-instruct
Pixtral Large
Phi-4-multimodal-instruct
Pixtral Large
Mistral AI