Korgi

Claude Haiku 5.5 is Anthropic fastest and cheapest model with tools, vision and extended context.

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs, with reasoning support and a 1M-token context window. Built for the hardest reasoning, coding, and long-horizon agent tasks.

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 Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work. It accepts text, image, and file inputs, supports tools and reasoning, and provides a 1M-token context window with up to 128K output tokens.

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 and a 1M-token context window — an everyday agent model for coding, planning, and general work.

Nano Banana Pro is Google's most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reasoning, real-world grounding, and high-fidelity text rendering in images.

Gemini 3.1 Flash Image Preview, a.k.a. "Nano Banana 2", is Google's state-of-the-art image generation and editing model, delivering Pro-level visual quality at Flash speed, with strong prompt following and multi-image composition.

Gemini 3.1 Pro Preview is Google's frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows, building on a fully multimodal foundation.

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution, with text, image, audio, and video input.

Gemini 3.5 Flash-Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and less hedging, while reducing token use and the number of model calls needed to complete a task.

Gemini Embedding 2 is Google's embedding model for semantic search, retrieval-augmented generation, clustering, classification, and ranking pipelines.