Data Analysis

The best combination of performance and speed for efficient, high-throughput tasks. Excellent balance of intelligence and cost-effectiveness.

OpenAI's flagship multimodal model with advanced reasoning, vision, and audio capabilities. Fast and versatile for most tasks.

Google's latest multimodal model with native tool use, code execution, and agentic capabilities. Fast and efficient.

Mid-size multimodal model optimized for complex reasoning and long context tasks with up to 2M token context.

Multimodal model with vision capabilities available in 11B and 90B parameter sizes. Supports image understanding and reasoning.

Mistral's 124B multimodal model with frontier-class image understanding. Supports multiple images with 128K context.

Multimodal version of Grok-2 with image understanding capabilities. Processes diagrams, screenshots, and documents.

Amazon's highly capable multimodal model balancing accuracy, speed, and cost. Optimized for AWS workloads.

Cost-effective multimodal model for high-volume tasks. Fast processing of images, video, and text.

A cost-effective reasoning model that balances strong logical capabilities with faster response times. Great for everyday reasoning tasks.

GPT-5.2 is OpenAI's flagship model series for 2025, achieving unprecedented performance in reasoning, coding, and mathematics. Available in three variants—Instant (optimized for speed), Thinking (step-by-step reasoning), and Pro (maximum capability)—it sets new industry benchmarks including a perfect 100% on AIME 2025 and 55.6% on SWE-Bench Pro. The model excels at professional knowledge work including complex spreadsheets, presentations, and business documents. It demonstrates 30% fewer hallucinations than GPT-5.1 and introduces improved agentic capabilities for executing multi-step tasks with high reliability. Key improvements include enhanced tool calling, superior front-end code generation, and better long-context reasoning.