Pricing, Performance & Features Comparison
Pixtral-12B is a natively multimodal large language model with 12 billion parameters plus a 400 million parameter vision encoder, trained with interleaved image and text data. It achieves strong performance on multimodal tasks including instruction following, while maintaining state-of-the-art performance on text-only benchmarks without compromising key text capabilities. The model supports variable image sizes and can process multiple images within its 128K token context window.
Qwen/Qwen2.5-7B-Instruct is an instruction-tuned, decoder-only language model offering enhanced coding, math capabilities, and multilingual support for over 29 languages. It can handle up to 128K tokens of context and generate up to 8K tokens, making it ideal for tasks requiring extended text generation or JSON outputs. Its resilient instruction-following features make it well-suited for chatbot role-play and structured output scenarios.