Anthropic's most advanced AI model, excelling in coding, agent-based tasks, and computer usage. It delivers high performance in reasoning, math, and domain-specific knowledge across fields like finance, law, and STEM.

Performs advanced image edits with bilingual text support, precise style preservation, multi-image and semantic editing, plus native ControlNet for enhanced control.

Delivers ultra-fast, high-resolution image generation, precise natural-language editing, and consistent multi-image output—ideal for creative, batch, or professional workflows.

Generates and edits images with high detail, keeping character and background consistency, supporting style transfer, upscaling, and complex multi-step instructions.

Advanced image editing model enabling precise bilingual text modification, style transfer, and nuanced visual changes—all via intuitive natural language instructions.

Generates highly detailed, realistic images from text or images with advanced editing, style transfer, and open-access tools for inpainting and structure guidance.

Built with a Mixture-of-Experts design, delivers efficient, transparent reasoning, tool use, and agentic capabilities, even with 128K token context windows.

Delivers strong reasoning and chain-of-thought, agentic features, and multilingual support, optimized for local deployment and efficient use on modest hardware.

Excels at high-fidelity text rendering in English and Chinese, advanced image editing, diverse style generation, and intelligent image understanding tasks.

Designed for complex coding and agentic workflows, it excels at understanding large codebases and supports 262K-token context for advanced software engineering.

Enables advanced agentic coding, large-scale code analysis, and tool integration with up to 256K native context for repository-level tasks and automation.

Handles complex reasoning, coding, and tool use with 128K token context, enabling autonomous problem-solving and workflow automation.

Delivers precise, iterative image editing and generation with consistent character, style, and text changes—using multimodal input for seamless scene transformations.

Excels at deep reasoning, complex coding, and autonomous agent workflows with sustained performance, extended thinking, tool use, and memory across tasks.

Balances intelligence with efficiency for coding, research, and automation tasks; excels in reasoning, content generation, and nuanced instruction following.

Excels at building interactive web apps, advanced code editing and agentic workflows, with native multimodality and strong video-to-code capabilities.

MoE model with 22B active parameters featuring dual thinking modes for complex reasoning and efficient conversation across 100+ languages.

MoE architecture with 3.3B active parameters, balancing efficiency with strong reasoning, multilingual capabilities, and specialized thinking mode.

A thinking model offering enhanced reasoning with controllable "thinking" capabilities, balancing speed, cost, and performance for developers.

Optimized for fast, affordable reasoning with strong coding and visual skills, large 200k-token context, and efficient handling of complex tasks.

Excels at advanced reasoning, coding, math, and visual tasks with simulated reasoning, tool use, web browsing, and image understanding integration.

Powerful mid-sized model with GPT-4o-level performance at lower cost and latency, featuring a 1 million token context window for complex tasks.

OpenAI's fastest, cost-effective model with full 1 million token context, optimized for classification, autocompletion, and real-time AI agent tasks.

Excels in coding and instruction following with million-token context window, enabling superior performance on complex, multi-step tasks.

Multimodal model specializing in multilingual text and image analysis, multi-document summarization, codebase reasoning, and highly personalized task automation.

Multimodal model with 17B active parameters, excelling at text, image, code, and multilingual tasks. Supports 1M-token context for advanced enterprise use.

Delivers advanced reasoning, code generation, and mathematical skills, processes long inputs efficiently, and accelerates results with innovative Mixture-of-Experts design.

A lightweight, versatile 24B multimodal model handling text and images with extensive multilingual support and 128k token context window.

Google's most powerful Gemini 2.0 model, released in Feburary, 2025

Gemma 3 has a large, 128K context window, multilingual support in over 140 languages, and is available in more sizes than previous versions. Gemma 3 models are well-suited for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning.

Performs exhaustive, multi-step research by autonomously searching and synthesizing hundreds of sources into detailed, expert-level reports across domains.

Premium reasoning model for complex, multi-step analysis. Delivers detailed explanations, real-time web search, and double citations for thorough answers.

A hybrid reasoning model with standard and extended thinking modes, delivering twice the speed and exceptional performance in coding and problem-solving tasks.

Fast reasoning model with real-time web search, chain-of-thought capabilities, and citation support. Excels at complex queries with quick, accurate responses.

Optimized for search-augmented tasks, delivering fast, accurate answers with real-time web data and detailed citations. Excels in research and fact-checking.

Excels at complex, multi-step queries with real-time web search, detailed answers, extensive citations, and customizable information retrieval.

Employs a massive Mixture-of-Experts architecture and Multi-Layer Attention to deliver advanced, polished reasoning and problem-solving across math, code, and more.

An open-source reasoning model using Mixture-of-Experts architecture, delivering powerful math and code capabilities comparable to OpenAI's o1.

Powers advanced reasoning, code generation, and multilingual tasks with efficient MoE architecture and enhanced multi-token prediction for faster, optimized results.

Optimized for dialogue with strong reasoning, multilingual support, and efficient performance approaching larger models.

Optimized for speed via speculative decoding, excels in reasoning, coding, and complex tasks while maintaining high efficiency.

Specialized in advanced reasoning and problem-solving, excelling in mathematics and programming with a 32B parameter transformer architecture.

Specializes in code generation, reasoning, and fixing with 128K token context, open-source licensing, and local deployment capabilities.

Multilingual dialogue model optimized for tool integration and safety, with 128K context length for extended interactions.

Powerful AI with exceptional coding abilities, twice the speed of previous versions, and advanced reasoning for complex software development tasks.

Anthropic's fastest model offering advanced coding, tool use, and reasoning capabilities with rapid response times for real-time applications and personalized experiences.

Efficient edge model with native function calling and interleaved sliding-window attention for fast, memory-efficient processing in resource-constrained environments.

Optimized for high-volume, cost-effective tasks with multimodal input support, excelling in transcription and long-context processing.

Instruction-tuned LLM excelling in long-context processing (131K tokens), multilingual support (29+ languages), and structured data handling.

Optimized for coding and math with Chain-of-Thought reasoning, offering fast, cost-efficient responses for complex problem-solving.

Reasoning-focused LLM for complex science, math, and coding tasks, generating detailed thought processes before responses.

Multimodal model handling text and images at native resolution with 128K context window, excelling in visual reasoning tasks like document analysis and image captioning.

Multilingual LLM excelling in question answering, reasoning, code generation, and synthetic data generation.

Excels in multilingual tasks, tool use, coding, and reasoning with improved accuracy and efficient performance.

Optimized for multilingual dialogue with 128k context length, excels in chat, text generation, and language translation.

Optimized for multilingual dialogue with 128k context, instruction-tuned via SFT/RLHF, and enhanced with synthetic data for safety and performance.

Handles long-form content with 128k token context, excels in multilingual tasks, coding, and function calling via natural language.

Cost-efficient, fast model with 128K context window, supporting text/vision inputs and improved multilingual performance.

Efficient 9B parameter model trained on diverse web, code, and math data, excelling in coding and mathematical tasks.

Specializes in code generation with 32k token context, excelling in completion, debugging, and optimization across 80+ languages.

Multimodal LLM with 2M token context, excels in complex reasoning, coding, and multimodal Q&A across text, images, audio, and video.

Optimized for speed and efficiency, handles high-volume tasks with multimodal processing (text, images, video, audio) for summarization, chat, and data extraction.

Multimodal LLM for real-time text, audio, and visual processing with multilingual support, emotional audio responses, and image generation.

Efficient Sparse MoE architecture with 39B active parameters, excels in multilingual tasks, math, coding, and handles 64K token contexts.

Powerful LLM with 123B parameters, excelling in multilingual tasks, coding, and reasoning, optimized for single-node inference and long-context applications.

Efficient Mixture of Experts (8 experts) with 13B active parameters, optimized for multilingual tasks and cost-performance balance.

Balanced performance in natural language and code tasks, efficiently handling longer sequences with innovative attention mechanisms.

OpenPose is a real-time computer vision model that detects and maps body, hand, and facial keypoints for multiple people simultaneously using convolutional neural networks.

Handles complex reasoning and coding tasks, generates and interprets multimodal content, and supports interactive visualizations with an extensive 1M token context.

Delivers strong mathematical and coding abilities, matching the performance of larger models while using efficient distillation and multilingual support.

Optimized for STEM reasoning and problem-solving, excelling in complex tasks like advanced math and coding with improved cost efficiency.

Specializes in complex reasoning through chain-of-thought processing, excelling in STEM tasks like coding, math, and scientific analysis.

Excels in natural conversation and creative tasks with improved emotional intelligence and multilingual support, prioritizing intuitive interactions over structured reasoning.

Optimized for edge computing with function-calling capabilities, excelling in knowledge retrieval and commonsense reasoning with 128k token context.

Cost-efficient, budget-friendly multimodal LLM for real-time tasks with 1M token input context and enhanced performance.

Multimodal LLM for agentic applications, handling real-time data integration and multi-step tasks with enhanced reasoning via Thinking Mode, integrating Google tools and third-party functions.

Specializes in coding tasks with multilingual support for 80+ languages, excelling in code generation, fill-in-the-middle, and test creation with a 256K token context.