Comprehensive side-by-side LLM comparison
Phi 4 leads with 2.7% higher average benchmark score. Pixtral-12B offers 104.2K more tokens in context window than Phi 4. Both models have similar pricing. Pixtral-12B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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-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.
2 months newer
Pixtral-12B
Mistral AI
2024-09-17
Phi 4
Microsoft
2024-12-12
Cost per million tokens (USD)
Phi 4
Pixtral-12B
Context window and performance specifications
Average performance across 21 common benchmarks
Phi 4
Pixtral-12B
Phi 4
2024-06-01
Available providers and their performance metrics
Phi 4
DeepInfra
Pixtral-12B
Phi 4
Pixtral-12B
Phi 4
Pixtral-12B
Mistral AI