32 models available

Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code review and bug finding, financial and scientific analysis, and reading dense charts, diagrams, and screenshots, and it is more careful than its predecessor about only stating figures and citing sources it can back up

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis of charts and documents, complex office deliverables, and coordinating parallel subagents. The model maintains strong instruction following and tool use across extended tasks, while remaining effective at lower effort settings for workloads that prioritize latency and token efficiency

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual code generation, and finance and analysis tasks in particular. It also tends to be more concise than Fable 5 in its plans and summaries. We recommend testing it as a direct upgrade wherever you use Fable 5 today, and alongside Opus 5 on reasoning-heavy tasks

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for long-running, complex, and asynchronous tasks that previously required frequent human check-ins

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max, and x-high), and text, image, and file inputs.

Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for highly autonomous agents, long-horizon agentic work, knowledge work, and memory-driven tasks where coherence over extended sessions matters

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on complex, multi-step tasks and more reliable agentic execution across extended workflows. It is especially effective for asynchronous agent pipelines where tasks unfold over time - large codebases, multi-stage debugging, and end-to-end project orchestration.

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective for large codebases, complex refactors, and multi-step debugging that unfolds over time. The model shows deeper contextual understanding, stronger problem decomposition, and greater reliability on hard engineering tasks than prior generations.

Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with memory, polished document creation, and confident computer use for web QA and workflow automation.

GPT-6 Astra is the top tier of OpenAI's GPT-6 series: the strongest model for long, hard tasks, with 1M+ context, image input and configurable reasoning.

GPT-6.1 Sol brings near-Astra agentic coding and computer use to the Sol tier of OpenAI's GPT-6 series. 1M context, configurable reasoning, text input.

GPT-6 Sol is the flagship reasoning model of OpenAI's GPT-6 series for code, complex reasoning and agentic workflows. 1M context, image input, configurable reasoning.

GPT-6 Luna is the fast, low-cost tier of OpenAI's GPT-6 series for high-frequency tasks: chat, classification, extraction and lightweight agents. 1M context, image input, configurable reasoning.

GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and multi-step coding tasks and long-horizon problem solving

GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic tasks where capability and cost need to be balanced, offering strong performance at roughly half the cost of Sol.

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for its price tier.

Gemini 3.8 Flash is a fast, low-cost Google model for high-volume chat, extraction and agents. 1M context, image input, tool calling, optional thinking.

Gemini 3.7 Flash is a fast, very low-cost Google model for high-volume text and image tasks. 1M context, tool calling, optional thinking.

Gemini 3.1 Pro is the strongest Google model for reasoning, code and long documents. 1M context, image input, tool calling, optional thinking.

Qwen 3.8 Max is the top Qwen model with strong multilingual coverage and reasoning. 1M context, image input, tool calling, optional thinking.

Qwen 3.8 Flash is a fast Qwen model for high-volume text tasks. 1M context, image input, tool calling, optional thinking.

DeepSeek V4.1 Flash is a fast, very low-cost DeepSeek model for high-volume chat, extraction and agents. 1M context, image input, tool calling, optional thinking.

DeepSeek V4 Pro is the strongest DeepSeek model for code and reasoning at a low price. 1M context, image input, tool calling, optional thinking.

DeepSeek V4 Flash is a fast, cheap DeepSeek model for high-volume text tasks. 1M context, tool calling, optional thinking.

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves on GLM-5.2 in coding and in the balance between performance and token efficiency

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while reducing compute overhead

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output and is suited for long-horizon agent workflows, project-level software engineering, and complex multi-step automation. Reasoning efforts high and xhigh are supported; xhigh maps to max reasoning. It is particularly strong at coding and tool use across long-running tasks, able to maintain engineering context and follow standards consistently through a full development workflow, from requirements to multi-platform deployment, in a single task

GPT Image 2.5 is the newer OpenAI image model with sharper detail and better prompt following. Flare for speed or Sunburst for top quality, 1K / 2K / 4K, references supported.

GPT Image 2 is OpenAI’s image model: text-to-image and editing from a reference image, accurate text in pictures, 1K / 2K / 4K output and five aspect ratios.

Nano Banana 2 is the newer Google image model: sharper detail and text in images, Lite or Standard with 1K / 2K / 4K output, references supported.

Nano Banana Pro is Google’s top image model for the highest quality, complex scenes and legible text, up to 4K, references supported.

Nano Banana is Google’s fast image model: text-to-image and image editing from a reference, with good prompt following.