Document Processing
7 recommended models
Extracting, summarizing, and organizing information from documents
Best Models for Document Processing
Pixtral Large
by Mistral AIMistral's 124B multimodal model with frontier-class image understanding. Supports multiple images with 128K context.
Grok-2 Vision
by xAIMultimodal version of Grok-2 with image understanding capabilities. Processes diagrams, screenshots, and documents.
Command R+
by CohereCohere's most capable model optimized for complex RAG and multi-step tool use. Supports 10 languages.
Command R
by CohereBalanced model for RAG and tool use at lower cost. Good performance for enterprise applications.
Embed v3
by CohereState-of-the-art embedding model for semantic search and RAG. Supports 100+ languages with compression options.
Amazon Nova Pro
by AmazonAmazon's highly capable multimodal model balancing accuracy, speed, and cost. Optimized for AWS workloads.
Jamba 1.5 Large
by AI21 LabsHybrid Transformer-Mamba architecture enabling 256K context with efficient processing. Strong multilingual support.