Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 25.4% higher average benchmark score. Phi-3.5-mini-instruct offers 119.8K more tokens in context window than Pixtral-12B. Both models have similar pricing. Pixtral-12B 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-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.
25 days newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Pixtral-12B
Mistral AI
2024-09-17
Cost per million tokens (USD)
Phi-3.5-mini-instruct
Pixtral-12B
Context window and performance specifications
Average performance across 40 common benchmarks
Phi-3.5-mini-instruct
Pixtral-12B
Available providers and their performance metrics
Phi-3.5-mini-instruct
Azure
Pixtral-12B
Phi-3.5-mini-instruct
Pixtral-12B
Phi-3.5-mini-instruct
Pixtral-12B
Mistral AI