Comprehensive side-by-side LLM comparison
Phi 4 leads with 14.7% higher average benchmark score. Pixtral Large offers 224.0K more tokens in context window than Phi 4. Phi 4 is $7.79 cheaper per million tokens. Pixtral Large supports multimodal inputs. Overall, Phi 4 is the stronger choice for coding tasks.
Microsoft
Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, 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.
24 days newer
Pixtral Large
Mistral AI
2024-11-18
Phi 4
Microsoft
2024-12-12
Cost per million tokens (USD)
Phi 4
Pixtral Large
Context window and performance specifications
Average performance across 20 common benchmarks
Phi 4
Pixtral Large
Phi 4
2024-06-01
Available providers and their performance metrics
Phi 4
DeepInfra
Pixtral Large
Phi 4
Pixtral Large
Phi 4
Pixtral Large
Mistral AI