A complete guide to the LLMs available in Aymo AI, including GPT-6, Claude Fable 5.1, Claude Opus 5.5, Gemini 3.8 Flash, Grok 4.7, Qwen3.8, DeepSeek, and more. Compare strengths and best use cases.
Aymo gives you access to the best LLMs in one place. It brings together leading models from Anthropic, OpenAI, Google, xAI, DeepSeek, Meta, Qwen, Mistral, Kimi, MiniMax, Perplexity, Z.ai, and Tencent.
Choose the best model for your task and switch any time.
Whether you're writing, coding, researching with live web search, or analyzing images, there's a model built for it.

Use this page to find the right model for the task in front of you.
Pick your use case below, or scroll for the full model reference grouped by provider.
Capabilities you'll see across Aymo's models:

Claude models are known for strong reasoning, deep understanding of context, and high-quality writing. Every Claude model supports vision and file analysis, making them useful for coding, research, and document-based workflows.
Anthropic's most capable model available. Built for the hardest coding, research and long agent tasks, with a million-token context. Use it when quality matters more than cost.
Anthropic's newest Opus model, at a lower price than Opus 5. Excellent at hard coding problems, deep analysis and high-quality writing, and it always thinks before answering. Has a million-token context.
Anthropic's previous Opus model, built for complex, demanding work. Excellent at hard coding problems, deep analysis and high-quality writing, with a million-token context.
An earlier Opus model from Anthropic. Still very strong at difficult questions, high-quality writing and complex coding.
A strong agentic-coding model, well-rounded across coding, detailed writing, and long conversations. The go-to choice for most everyday tasks on Aymo.
The fastest Claude model on Aymo. Great for quick questions, short tasks, and back-and-forth conversations where speed matters.
OpenAI's GPT models range from lightweight options for everyday tasks to flagship models for advanced work. Most GPT models support vision and live reasoning, and some also include web search.
The capable workhorse of the GPT-6 family. Strong at coding, reviewing code, debugging and analyzing data, at half the price of GPT-5.6 Sol. Supports web search.
The lowest-cost model in the GPT-6 family. Quick and capable for summaries, pulling out key details and straightforward questions, with web search.
The top model of the GPT-5.6 family. Great for agent work, long multi-step tasks and hard coding problems, with a million-token context.
The balanced middle option in OpenAI's GPT-5.6 family. Aims for near-flagship quality at a lower cost, with web search and image understanding built in.
The fastest and most affordable model in the GPT-5.6 family. Built for high-volume work where speed and cost matter more than maximum depth.
A powerful OpenAI model on Aymo. Excellent at complex coding, in-depth analysis and professional-grade writing.
OpenAI's frontier model for complex coding, professional writing, and deep analysis. Faster and more affordable than GPT-5.5 without giving up the quality.
A compact model with built-in web search. Well-suited for coding, research, and conversations that benefit from current information.
A balanced model that combines speed and quality. A good choice for coding, writing, and everyday tasks that require more depth.
A fast model with web search built in. Useful for quick research, summaries, and tasks that require current information.
OpenAI's previous-generation flagship. Still excellent at coding, writing, and agentic tasks, at a lower price than the newest models.
Blazing fast and very affordable. Great for quick lookups, summarizing content, and simple everyday questions.
A fast, budget-friendly model that handles everyday writing, answering questions, and light analysis with ease.
OpenAI's open-weight reasoning model. Strong for its price at coding, math and analysis, and one of the cheapest capable models available.
Google's Gemini line combines reasoning with the broadest input support on Aymo, including vision, audio input, and file context. Gemini 3.x models also support web search for up-to-date answers.
Gemini 3.8 Flash is Google's smartest Flash model yet. It's a clear step up from 3.7 Flash in coding, agent tasks and multi-step reasoning, while staying fast. It works with images, audio, video and long documents, and supports web search.
A fast Gemini 3 model built for coding and agent work. It handles text, images, audio, video and long documents, and supports web search.
Google's Flash 3.6 model is a solid default for most work. It reads text, images, video, audio and PDFs, holds a million tokens of context, and was built for coding and multi-step agent tasks.
Google's cheapest and fastest Gemini. Made for simple jobs you run thousands of times, like search, translation, and document processing, with the same large context window as the bigger Gemini models.
Google's most advanced model on Aymo. Best for in-depth reasoning, long documents, and complex tasks that need the full power of Gemini.
A cutting-edge Gemini model with web search and image understanding. Great for coding, research, and complex conversations that need current information.
An affordable Gemini 3 model with web search and strong instruction following. Ideal for everyday conversations, content creation, and frequent use.
Google's top reasoning model. Excellent for complex math, coding challenges, deep analysis, and working with large documents.
A smart and fast model that can handle complex questions while still being quick and affordable for everyday use.
Google's lightest and fastest model. Perfect for quick replies, simple questions, and high-volume chat at the lowest cost.
A versatile open model that understands images, writes code, and supports more than 140 languages. Great for everyday tasks across a wide range of use cases.
Grok models combine reasoning with live web search. They're designed for research, current information, and conversations that benefit from real-time web access.
Grok 4.7 is xAI's latest flagship. It checks its own work more carefully and stays on track through long, multi-step tasks, which makes it a strong pick for coding, research and in-depth knowledge work. It reads images and supports live web search.
A powerful Grok model built for long-running coding and agent work that needs little hand-holding, plus questions that need real-world knowledge. It reads images and supports live web search.
xAI's coding model, built for agent-style software work. It always reasons before answering, reads screenshots and diagrams, and handles refactors, debugging and multi-step coding tasks at a low price.
A strong Grok model for coding, agent tasks and knowledge work. It has built-in reasoning and live web search, which makes it good for deep analysis and research-heavy chats.
xAI's proven reasoning model with built-in web search. Great for deep analysis, research-heavy conversations, and finding up-to-date information.
Perplexity focuses on search-backed answers and current information. Its models combine AI reasoning with live web search, making them useful for research, fact-checking, and staying up to date.
Answers backed by live web search. Great for staying current, quick research, and real-time fact-checking.
DeepSeek models are known for strong reasoning, coding capabilities, and transparent thinking. Several models support live reasoning, making them a popular choice for complex analysis and development tasks.
DeepSeek's flagship model. Best for complex coding, deep analysis, and challenging problems that require strong reasoning.
DeepSeek's newest model and the first on its new architecture. It beats DeepSeek's own V4 Pro on coding and agent tasks at a much lower price, with a million-token context.
A top-tier reasoning model that shows its thinking process as it works. Excellent for complex coding challenges and thorough analysis.
A balanced model that combines strong reasoning and coding performance at a lower cost. Ideal for everyday technical and analytical tasks.
Qwen's Qwen3.8 lineup covers multimodal reasoning and coding, from the flagship Qwen3.8-Max to the fast, low-cost Qwen3.8 Flash. All three models understand images and support very long context.
Qwen's flagship 2.4T MoE model with native multimodal input and a million-token context. Great for large-scale code, planning and knowledge work.
A 27B open vision-language model with native multimodal support and a million-token context. Strong for its size at coding and analysis.
Alibaba's multimodal MoE model and an early preview of the Qwen4 architecture. It reads text, images and video across a million-token context, and is built for coding and agent work at a fraction of frontier model cost.
MiniMax models focus on reasoning, long conversations, and complex problem-solving. The lineup includes multimodal capabilities and reasoning-focused models for coding, analysis, and research.
A multimodal model that understands both images and text. Built for long conversations, complex analysis, and demanding coding tasks.
A reasoning-focused model designed for complex analysis and problem-solving. A strong choice for coding, research, and multi-step tasks.
GLM models are designed for coding, reasoning, and complex development workflows. The lineup includes both advanced models for demanding tasks and lightweight options for everyday use.
Z.ai's latest flagship, with big gains in complex software engineering and agent work. It uses the same base model as GLM-5.2 and supports a million-token context.
A fast multimodal model from Z.ai that reads text, images and video. Built for efficient coding and long agent tasks, with an architecture that keeps long-context answers accurate while using less compute.
A flagship model built for long-horizon tasks, with a million-token context that holds up in practice. Great for long, autonomous work sessions and complex development.
A powerful model for coding, development, and long-running tasks. Well-suited for complex workflows that require planning, execution, and problem-solving.
A fast and responsive model built for everyday tasks and high-volume usage. A good choice when you need a balance of speed and capability.
Kimi models are built for long conversations and complex problem-solving. They perform well on coding, analysis, and tasks that require maintaining context over extended sessions.
Moonshot AI's newest flagship, succeeding the K2 line. Combines always-on reasoning with adjustable effort, native image understanding, and a very large context window, making it well-suited for demanding, detail-heavy work.
Moonshot's coding model, built on Kimi K2.6 and tuned for long software projects. It plans, writes, tests and debugs code across many steps, and uses fewer thinking tokens than K2.6.
Stays sharp and reliable across very long sessions. Perfect for complex, ongoing conversations that need consistent quality from start to finish.
A dependable model with strong coding skills and solid performance across long, involved conversations. A proven and reliable choice.
Llama models are designed for coding, analysis, and long-context conversations. They support image understanding and are well-suited for research, content creation, and everyday tasks.
A powerful Meta model that punches well above its price. Delivers top-tier quality for coding, analysis, and writing at a fraction of the usual cost.
Meta's model is built for long, detailed conversations. Can read images and handle very large documents, making it great for in-depth research and analysis.
Mistral models are designed for efficient text generation, multilingual communication, and instruction following. They are well-suited for writing, analysis, and everyday language tasks.
A compact multilingual model that follows instructions well and works across many languages. Great for international use cases.
Hunyuan models are built for real-world business scenarios. They balance reliability, efficiency, and cost across both high-frequency interactions and more complex workflows.
Built for practical, everyday business use. Handles routine interactions and multi-step workflows while keeping cost and response speed in check.
Aymo gives you access to models from Anthropic (Claude), OpenAI (GPT), Google (Gemini & Gemma), xAI (Grok), Perplexity, DeepSeek, Qwen, MiniMax, Z.ai (GLM), Kimi, Meta (Llama), Mistral, and Tencent (Hunyuan). You can switch between models at any time and choose the one that best fits your task. For image generation models, see the Model Directory.
For coding, strong choices include Claude Fable 5.1, Claude Opus 5.5, Claude Sonnet 5, GPT-6 Sol, GPT-5.6 Sol, Grok 4.7, Grok Build 0.1, Kimi K2.7 Code, GLM-5.3, DeepSeek V4 Pro, and Qwen3.8-Max.
Models with web search include Perplexity Sonar, Grok 4.3, Grok 4.5, Grok 4.6, Grok 4.7, Grok Build 0.1, GPT-6 Sol, GPT-6 Luna, GPT-5.6 Sol, GPT-5.6 Terra, GPT-5.6 Luna, GPT-5.5, GPT-5.4, GPT-5.4 Mini, GPT-5.4 Nano, and the Gemini 3.x line, covering Gemini 3.1 Pro, Gemini 3.8 Flash, Gemini 3.7 Flash, Gemini 3.6 Flash, Gemini 3.5 Flash, Gemini 3.5 Flash Lite, and Gemini 3.1 Flash-Lite.
Vision-capable models include all Claude models, the Gemini family, GPT models (except GPT OSS 120B), the Grok line, Llama 4 Maverick and Scout, Qwen3.8-Max, Qwen3.8-27B, Qwen3.8 Flash, MiniMax-M3, Kimi K3, Kimi K2.6, Kimi K2.5, GLM 5.3 Flash, and DeepSeek V4.1 Flash.
Models that stream their step-by-step thinking (live reasoning) include the Claude models, the GPT-5 and GPT-5.6 lines, DeepSeek R1, DeepSeek V3.2, Kimi K2.5, K2.6, and K3, and MiniMax M2.7.
For long documents and uploaded files, the Claude, Gemini, and Gemma model families are the best options. These models are designed to work with large amounts of context and long documents.
Yes. Aymo is a multi-model app, so you can choose the model that best fits each task and switch at any time without setting up separate accounts or API keys.