Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 33.1% higher average benchmark score. Phi-3.5-mini-instruct is $7.80 cheaper per million tokens. Pixtral Large supports multimodal inputs. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. 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.
2 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Pixtral Large
Mistral AI
2024-11-18
Cost per million tokens (USD)
Phi-3.5-mini-instruct
Pixtral Large
Context window and performance specifications
Average performance across 38 common benchmarks
Phi-3.5-mini-instruct
Pixtral Large
Available providers and their performance metrics
Phi-3.5-mini-instruct
Azure
Pixtral Large
Phi-3.5-mini-instruct
Pixtral Large
Phi-3.5-mini-instruct
Pixtral Large
Mistral AI