> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mixroute.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Popular Models

> This page provides detailed model information, pricing, and usage instructions.

## 🔥 Current Recommended Models

Below are the currently stable and popular models. For the complete model list and real-time pricing, please visit [MixRoute Model Marketplace](https://console.mixroute.ai/models).

<Danger>
  When calling the API, please ensure the model name matches the naming convention in the [MixRoute Model Marketplace](https://console.mixroute.ai/models); otherwise, the request will fail.
</Danger>

<Info>
  Context values use the model providers' published specifications. MixRoute endpoint support, route aliases, availability, and pricing are governed by the Model Marketplace and each model's detail page.
</Info>

## Model Categories

### 🤖 OpenAI Series

#### GPT Series

| Model Name | Model ID | Context | Features | Recommended For |
| - | - | - | - | - |
| GPT 6 Astra ⭐ | gpt-6-astra | 1.05M | OpenAI's highest-capability model for complex, end-to-end work; accepts text and images, with up to 128K output | Complex reasoning, coding agents, research and document creation |
| [GPT 6.1 Sol](/model-api/openai/gpt-6.1-sol) | gpt-6.1-sol | 1.05M | Text/image reasoning model for complex coding and professional work; 128K max output; function calling via Responses | Coding, agents, professional tasks |
| [GPT 6 Sol](/model-api/openai/gpt-6-sol) | gpt-6-sol | 1,050,000 | GPT 6 model balancing intelligence and cost for coding and agentic workflows. | Coding, tool workflows, professional tasks |
| [GPT 6 Luna](/model-api/openai/gpt-6-luna) | gpt-6-luna | 1,050,000 | Efficient GPT 6 model for focused, high-volume tasks. | Routing, extraction, high-volume assistants |
| GPT 5.6 Sol ⭐ | gpt-5.6-sol | 1.05M | Frontier model for complex professional work, with deep reasoning and up to 128K output | Complex reasoning, coding, long-running agents |
| GPT 5.6 Terra | gpt-5.6-terra | 1.05M | Balances intelligence and cost across professional workloads, with up to 128K output | General coding, analysis, content |
| GPT 5.6 Luna | gpt-5.6-luna | 1.05M | Cost-sensitive, high-volume member of the GPT 5.6 family, with up to 128K output | High throughput, routing, batch workloads |
| GPT Chat Latest | gpt-chat-latest | 400K | MixRoute alias for OpenAI's rolling Chat Latest model; the underlying snapshot can change | Chat assistants, prototyping, compatibility |
| GPT 5.5 | gpt-5.5 | 1.05M | Frontier model for coding and professional work; accepts text and image input and supports up to 128K output | Coding, reasoning, professional workflows |
| GPT 5.4 Pro | gpt-5.4-pro | 1.05M | Uses more reasoning compute for precise answers; Responses API only, and complex requests can take longer | High-accuracy analysis and difficult tasks |
| GPT 5.4 | gpt-5.4 | 1.05M | General model for coding and professional work, with Chat Completions and Responses support | Coding, analysis, business content |

#### Image Generation Models

| Model Name | Model ID | Features |
| - | - | - |
| [GPT Image 2.5 Sunburst](/model-api/openai/gpt-image-2.5-sunburst) | gpt-image-2.5-sunburst | GPT Image 2.5 model for precise generation, demanding edits, and detailed visual assets. |
| [GPT Image 2.5 Flare](/model-api/openai/gpt-image-2.5-flare) | gpt-image-2.5-flare | Fast GPT Image 2.5 model for image generation and editing. |
| GPT-Image-2 | gpt-image-2 | Earlier GPT Image generation/editing model with flexible sizes. |
| GPT-Image-1.5 | gpt-image-1.5 | Previous-generation image model retained for existing integrations |
| GPT-Image-1 | gpt-image-1 | Earlier image generation model retained for compatibility |

#### Audio, Transcription & Video Models

| Model Name | Model ID | Features | Recommended For |
| - | - | - | - |
| GPT-Realtime-2 ⭐ | gpt-realtime-2 | Realtime speech-to-speech reasoning model with tool use, 128K context, and 32K max output | Voice agents, realtime assistants, tool workflows |
| GPT Audio 1.5 | gpt-audio-1.5 | Audio input and output through Chat Completions | Voice assistants, spoken interaction |
| GPT Audio | gpt-audio | Previous audio input/output model for Chat Completions | Existing audio chat integrations |
| GPT-4o Transcribe Diarize | gpt-4o-transcribe-diarize | Speech-to-text that identifies who spoke and when | Meetings, interviews, call analysis |
| GPT-4o Mini Transcribe | gpt-4o-mini-transcribe | Lower-cost GPT-4o mini speech-to-text model | Subtitles, batch transcription |
| Sora 2 ⭐ | sora-2 | Flagship video generation model for text-to-video and image-to-video with synchronized audio | Video creation, creative production |

### 🎭 Claude Series (Anthropic)

#### Latest Claude Models

| Model Name | Model ID | Context | Features | Recommended For |
| - | - | - | - | - |
| [Claude Opus 5.5](/model-api/anthropic/claude-opus-5-5) | claude-opus-5-5 | 1M | Claude Opus model for long-running agentic coding and knowledge work. | Coding agents, research, complex knowledge work |
| Claude Opus 5 ⭐ | claude-opus-5 | 1M | Deep-reasoning model for complex agentic coding and enterprise work; 128K max output and thinking on by default | Long-horizon agents, difficult coding, enterprise work |
| Claude Fable 5.1 ⭐ | claude-fable-5-1 | 1M | High-capability model for demanding reasoning and long-horizon agents, with 128K output and always-on adaptive thinking | Demanding reasoning, long-running agents, multistep research |
| Claude Fable 5 | claude-fable-5 | 1M | Anthropic's deep-reasoning model for creative narrative and knowledge work, with extended thinking support | Creative writing, content creation, research analysis |
| [Claude Sonnet 5.5](/model-api/anthropic/claude-sonnet-5-5) | claude-sonnet-5-5 | 1M | Fast coding and knowledge-work model; 128K output, adaptive thinking, and auto-selected tool use | Coding, agents, knowledge work |
| Claude Sonnet 5 | claude-sonnet-5 | 1M | Previous Sonnet generation retained for existing integrations; 128K max output | Existing Sonnet workflows |
| Claude Haiku 5.5 | claude-haiku-5-5 | 1M | Low-latency model for high-volume work, with adaptive thinking and up to 128K output | Classification, routing, extraction, coding subagents |
| Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 200K | Previous Haiku generation, with 64K max output and optional extended thinking | Existing Haiku integrations |

### 🌟 Google Gemini Series

| Model Name | Model ID | Context | Features | Recommended For |
| - | - | - | - | - |
| Gemini 3.8 Flash ⭐ | gemini-3.8-flash | 1M | Google's most intelligent Flash model, with 1M input, 64K output, tunable thinking, tools, and structured output | Long-horizon coding, autonomous agents, enterprise workflows |
| [Lyria 3.5](/model-api/google/lyria-3.5) | lyria-3.5 | 131,072 input | Google music-generation model for instrumental tracks and songs with vocals. | Songs, soundtracks, instrumental music |
| Gemini Omni 1.1 Flash | gemini-omni-1.1-flash | 1M | Conversational video generation and editing from text, images, or video, with 3-10s output up to 4K | Video creation, editing, extension |
| Gemini 3.7 Flash | gemini-3.7-flash | 1M | Stable natively multimodal reasoning model with thinking, tools, and structured output | Coding loops, multimodal analysis, agents |
| Gemini 3.6 Flash | gemini-3.6-flash | 1M | Production-ready model for agentic coding and multimodal or spatial reasoning, with 64K max output | Coding loops, multimodal analysis, agents |
| Gemini 3.5 Flash-Lite | gemini-3.5-flash-lite | 1M | Low-latency, low-cost model for high-throughput subagents, document parsing, and extraction | Routing, extraction, high-volume tasks |
| Gemini 3.1 Pro Preview | gemini-3.1-pro-preview | 1M | Preview model tuned for software engineering, precise tool use, and reliable multi-step execution | Complex reasoning, coding, tool workflows |
| [Nano Banana 2.1](/model-api/google/gemini-nano-banana-2.1) | gemini-nano-banana-2.1 | 128K | Image generation and conversational editing; 1K/2K/4K output, improved typography and reference consistency | Image creation, editing, visual content |
| Gemini 3.1 Flash Image | gemini-3.1-flash-image | 128K | Earlier Nano Banana 2 route retained for existing image integrations | Existing image generation and editing |

### 🚀 xAI Grok Series

| Model Name | Model ID | Context | Features | Recommended For |
| - | - | - | - | - |
| [Grok 4.7](/model-api/xai/grok-4.7) | grok-4.7 | 500,000 | xAI model for coding, agentic tasks, and knowledge work with configurable reasoning. | Coding, agents, visual analysis |
| Grok 4.6 ⭐ | grok-4.6 | 500K | xAI flagship for coding, agentic tasks, and knowledge work; supports text or image input, configurable reasoning, function calling, and structured output | Coding, agents, complex knowledge work |
| Grok 4.5 | grok-4.5 | 500K | Frontier model for coding, agentic tasks, and knowledge work; supports reasoning, tools, and text or image input | Coding, agents, complex knowledge work |
| Grok 4.20 Reasoning | grok-4.20-0309-reasoning | 1M | High-speed reasoning model with agentic tool calling and structured outputs; real-time data requires search tools | Reasoning, research agents, tool workflows |
| Grok 4.20 Multi-Agent | grok-4.20-multi-agent-0309 | 1M | Multiple parallel agents collaborate on deep research; use the Responses API | Deep research, multi-agent analysis, complex investigation |
| Grok 4.3 | grok-4.3 | 1M | Fast general model with strong instruction following, tool calling, structured outputs, and configurable reasoning | Chat, agents, high-volume tool use |
| Grok Build 0.1 (compatibility ID) | grok-code-fast-1 | 256K | xAI routes this compatibility ID to Grok Build 0.1 for agentic software engineering workflows | Coding agents, repository tasks, web development |
| Grok Imagine Image 2.0 ⭐ | grok-imagine-image-2.0 | — | xAI image generation and editing model with 1K/2K output and quality controls | Image generation, editing, creative production |
| Grok Imagine Image | grok-imagine-image | — | Previous xAI image generation route retained for compatibility | Existing image integrations |

### 🔍 DeepSeek Series

| Model Name | Model ID | Context | Features | Recommended For |
| - | - | - | - | - |
| [DeepSeek V4.1 Flash](/model-api/deepseek/deepseek-v4.1-flash) | deepseek-v4.1-flash | 1M | DeepSeek reasoning model with native visual understanding for coding, agents, and multimodal analysis. | Visual reasoning, coding, agents |
| DeepSeek V4 Pro ⭐ | deepseek-v4-pro | 1M | Higher-capability V4 model for reasoning and agentic coding; thinking and non-thinking modes, up to 384K output | Difficult reasoning, coding agents, long tasks |
| DeepSeek V4 Flash | deepseek-v4-flash | 1M | Faster and more economical V4 model with both thinking modes and up to 384K output | High-throughput reasoning, chat, simpler agents |
| DeepSeek V4 Flash Vision Exp | deepseek-v4-flash-vision-exp | 1M | Experimental vision-capable V4 Flash model for text-and-image reasoning, tools, and Responses workflows | Image analysis, multimodal agents, visual coding |
| [DeepSeek V3.2 Speciale](/model-api/deepseek/deepseek-v3.2-speciale) | deepseek-v3.2-speciale | - | A reasoning-intensive DeepSeek V3.2 variant for difficult text, mathematical, and analytical tasks. | Mathematics, difficult text reasoning |
| DeepSeek V3.2 | deepseek-v3.2 | 164K | Previous-generation model focused on efficient reasoning and reasoning-with-tools workflows | General reasoning, tool use, compatibility |
| DeepSeek V3.1 | deepseek-v3.1 | 128K | Hybrid model with thinking and non-thinking modes plus stronger tool and agent behavior than earlier V3 releases | Chat, reasoning, coding, agents |

### 🐘 Chinese Model Series

#### Zhipu AI (GLM)

| Model Name | Model ID | Context | Features | Recommended For |
| - | - | - | - | - |
| [GLM-5.3 FlashX](/model-api/zhipu/glm-5.3-flashx) | glm-5.3-flashx | 1M | Faster-serving GLM-5.3 Flash variant for multimodal coding and long-running agents. | Visual coding, document analysis, fast agents |
| GLM-5.3 Flash ⭐ | glm-5.3-flash | 1M | Efficient native multimodal model for coding, visual understanding, and long-horizon agents | Multimodal coding, document analysis, fast agents |
| GLM-5.3 ⭐ | glm-5.3 | 1M | Flagship always-thinking model for complex coding, long-horizon agents, and security analysis | Difficult coding, autonomous agents, security work |
| GLM-5.2 | glm-5.2 | 1M | Previous flagship for project-scale engineering and long-horizon tasks, with 128K max output | Existing coding agents and long tasks |
| GLM-5.1 | glm-5.1 | 200K | Flagship foundation model for long-running autonomous coding and engineering delivery, with 128K max output | Agentic coding, system optimization, office work |
| GLM-5 Turbo | glm-5-turbo | 200K | Tuned for OpenClaw-style agents, tool calling, instruction following, and persistent multi-step execution | Tool agents, scheduled tasks, automation |
| GLM-5 | glm-5 | 200K | Foundation model for agentic engineering, complex systems, and long-horizon execution | Coding, agents, structured knowledge work |
| GLM-4.7 FlashX | glm-4.7-flashx | 200K | Lightweight, high-speed GLM-4.7 variant with 128K max output and agentic coding support | Fast coding, writing, translation, chat |

#### Alibaba Qwen

| Model Name | Model ID | Context | Features | Recommended For |
| - | - | - | - | - |
| Qwen Image 2.0 Pro | qwen-image-2.0-pro | — | Image generation and editing up to 2K, with improved realism, details, and text rendering | Text-to-image, image editing, product visuals |
| Qwen 3.8 Max ⭐ | qwen3.8-max | 1M | 2.4T-parameter MoE flagship for coding and professional work; supports visual understanding, function calling, and structured output | Reasoning, coding, agents, long-context work |

#### Moonshot Kimi Series

| Model Name | Model ID | Context | Features | Recommended For |
| - | - | - | - | - |
| Kimi K3 ⭐ | kimi-k3 | 1M | Moonshot's most capable open-weight native multimodal agentic model, designed for long-horizon coding, knowledge work, and reasoning | Large repositories, research, multimodal agents |
| Kimi K2.7 Code | kimi-k2.7-code | 256K | Coding-focused agentic model with image and video input, always-on thinking, and preserved reasoning across turns | Software engineering, coding agents, tool use |
| Kimi K2.6 | kimi-k2.6 | 256K | Native multimodal agentic model for long-horizon coding, proactive execution, and multi-agent orchestration | Coding, visual agents, autonomous workflows |
| Kimi K2.5 | kimi-k2.5 | 256K | Native multimodal model with text, image, and video understanding plus thinking and instant modes | Multimodal chat, reasoning, coding |

#### MiniMax Series

| Model Name | Model ID | Context | Features | Recommended For |
| - | - | - | - | - |
| MiniMax H3 ⭐ | MiniMax-H3 | — | General-purpose multimodal video model with text, image, and multimodal reference workflows, native stereo audio, 768P or 2K output, and 4-15s duration | Video creation, multimodal editing, branded content |
| MiniMax M3 ⭐ | MiniMax-M3 | 1M | MiniMax's latest flagship for complex reasoning, coding, and long-context processing, with tool use | Complex reasoning, coding, long text |
| MiniMax M2.7 | MiniMax-M2.7 | 256K | High-performance general model with balanced capabilities in reasoning, coding, and multi-turn chat | General reasoning, coding, chat |
| MiniMax M2.5 | MiniMax-M2.5 | 256K | Lightweight general-purpose model balancing performance and cost | Chat, content generation, batch tasks |
| MiniMax M2 | MiniMax-M2 | 128K | Previous-generation general model retained for compatibility with existing integrations | Compatibility, simple tasks |

#### Xiaomi MiMo Series

| Model Name | Model ID | Context | Features | Recommended For |
| - | - | - | - | - |
| MiMo V2.5 Pro ⭐ | mimo-v2.5-pro | 1M | Xiaomi's most capable open-weight agentic model, with 1.02T total and 42B active parameters | Complex coding, long-horizon agents, tool-heavy work |

#### Tencent

| Model Name | Model ID | Context | Features | Recommended For |
| - | - | - | - | - |
| Hy4 Preview ⭐ | hy4-preview | 1M | Flagship productivity model with reasoning, structured output, function calling, and caching; 960K max input and 64K max output | Complex agents, coding, office and analytical work |
| Hy3 | hy3 | 256K | Production model for coding agents, long documents, search Q\&A, and complex task execution; 192K max input and 128K max output | Coding, document analysis, multi-step agents |
| Hy-MT2-Pro | hy-mt2-pro | 8K | Flagship translation model for professional domains and quality-sensitive work | Professional and domain translation |
| Hy-MT2-Plus | hy-mt2-plus | 8K | Translation model with strong instruction following | Controlled translation, terminology-sensitive work |
| Hy-MT2-Lite | hy-mt2-lite | 8K | Lightweight translation model optimized for latency | Fast and high-volume translation |

#### Seedance Video Series

| Model Name | Model ID | Features |
| :- | :- | :- |
| Seedance 2.5 ⭐ | doubao-seedance-2-5-260628 | MixRoute's latest Seedance video route, with text-to-video, image-to-video, and 480p, 720p, or 1080p output |
| [Dreamina Seedance 2.5](/model-api/bytedance/dreamina-seedance-2-5) | dreamina-seedance-2-5-260628 | Seedance 2.5 video generation through the Dreamina route, with multimodal references and synchronized audio. |
| Seedance 2.0 | dreamina-seedance-2-0-260128 | Multimodal video generation from text, image, video, and audio references, with synchronized audio and up to 4K output |
| Seedance 2.0 Fast | dreamina-seedance-2-0-fast-260128 | Faster Seedance 2.0 route with multimodal references, synchronized audio, and 480p or 720p output |
| Seedance 2.0 Mini | dreamina-seedance-2-0-mini-260615 | Lightweight Seedance 2.0 route with multimodal references, synchronized audio, and 480p or 720p output |

#### Wan Video Series

| Model Name | Model ID | Features |
| - | - | - |
| [Wan 3.0 Video Prime](/model-api/alibaba/wan3.0-video-prime) | wan3.0-video-prime | High-speed Wan 3.0 video model with the same input modes as the standard version. |
| [Wan 2.6 I2V Flash](/model-api/alibaba/wan2.6-i2v-flash) | wan2.6-i2v-flash | Fast Wan 2.6 first-frame image-to-video model with an optional audio track. |
| [Wan 2.6 R2V Flash](/model-api/alibaba/wan2.6-r2v-flash) | wan2.6-r2v-flash | Fast Wan 2.6 reference-to-video model for subject-consistent generation. |

### Cohere

| Model Name | Model ID | Context | Features | Recommended For |
| - | - | - | - | - |
| [Command A+](/model-api/cohere/command-a-plus-05-2026) | command-a-plus-05-2026 | 128K | Cohere model for multilingual reasoning, enterprise agents, and visual understanding. | Enterprise assistants, reasoning, agents |
| [Command A](/model-api/cohere/command-a-03-2025) | command-a-03-2025 | 256K | Cohere multilingual model for enterprise chat, retrieval-augmented generation, and tool workflows. | Enterprise chat, RAG, tools |
| [Embed v4.0](/model-api/cohere/embed-v4.0) | embed-v4.0 | 128K | Cohere embedding model for multilingual retrieval, with long-context text support. | Semantic search, retrieval, classification |
| [Embed English v3.0](/model-api/cohere/embed-english-v3.0) | embed-english-v3.0 | 512 | Cohere text embedding model optimized for English retrieval. | Semantic search, retrieval, classification |
| [Embed Multilingual v3.0](/model-api/cohere/embed-multilingual-v3.0) | embed-multilingual-v3.0 | 512 | Cohere text embedding model for cross-language retrieval. | Semantic search, retrieval, classification |
| [Rerank v4.0 Pro](/model-api/cohere/rerank-v4.0-pro) | rerank-v4.0-pro | 32,768 | Cohere quality-focused multilingual relevance ranking model. | RAG ranking, search relevance |
| [Rerank v4.0 Fast](/model-api/cohere/rerank-v4.0-fast) | rerank-v4.0-fast | 32,768 | Cohere latency-focused multilingual relevance ranking model. | RAG ranking, search relevance |

### Meta Llama

| Model Name | Model ID | Context | Features | Recommended For |
| - | - | - | - | - |
| [Llama 3.3 70B Instruct](/model-api/meta/llama-3.3-70b-instruct) | llama-3.3-70b-instruct | 128K | Meta instruction-tuned text model for multilingual dialogue and text generation. | Chat, summarization, text generation |
| [Llama 4 Maverick FP8](/model-api/meta/llama-4-maverick-17b-128e-instruct-fp8) | llama-4-maverick-17b-128e-instruct-fp8 | 1M | Meta multimodal mixture-of-experts model for text and image understanding. | Multimodal assistants, visual analysis |
| [Llama 4 Scout](/model-api/meta/llama-4-scout-17b-16e-instruct) | llama-4-scout-17b-16e-instruct | 10M | Meta multimodal mixture-of-experts model for text and image understanding. | Multimodal assistants, visual analysis |

## 🛠️ Usage Recommendations

### Model Selection Guide

<CardGroup cols={2}>
  <Card title="Programming" icon="code">
    **Highest capability**: GPT 6 Astra, GPT 6.1 Sol, Claude Fable 5.1, Claude Opus 5.5, GLM-5.3, Hy4 Preview, Kimi K3, MiMo V2.5 Pro

    **Balanced choices**: GPT 5.6 Terra, Claude Sonnet 5.5, Gemini 3.8 Flash, GLM-5.3 Flash, Hy3, Grok 4.7

    **Open-model alternatives**: DeepSeek V4.1 Flash, GLM-5.3, Qwen 3.8 Max, MiMo V2.5 Pro
  </Card>

  <Card title="Content Writing" icon="pen">
    **Recommended**: GPT 5.6 Terra, Claude Sonnet 5.5, Qwen 3.8 Max

    **For difficult research or long material**: GPT 6 Astra, GPT 6.1 Sol, Claude Fable 5.1, Claude Opus 5.5, GLM-5.3, Grok 4.20 Multi-Agent, Gemini 3.1 Pro Preview
  </Card>

  <Card title="Fast Response" icon="bolt">
    **Recommended**: GPT 6 Luna, GPT-5.4 Nano, Claude Haiku 5.5, Gemini 3.5 Flash-Lite

    **Alternatives**: GLM-5.3 Flash, Gemini 3.6 Flash, DeepSeek V4.1 Flash
  </Card>

  <Card title="Multimodal" icon="image">
    **Image**: GPT Image 2.5 Sunburst, GPT Image 2.5 Flare, Grok Imagine Image 2.0, Nano Banana 2.1, DeepSeek V4.1 Flash

    **Audio**: GPT-Realtime-2, GPT Audio 1.5, GPT-4o Transcribe Diarize, Lyria 3.5

    **Video**: Sora 2, Gemini Omni 1.1 Flash, Seedance 2.5, Wan 3.0 Video Prime, MiniMax H3
  </Card>
</CardGroup>

### Long Context Processing

* **1M class**: GPT 6 Astra, GPT 6.1 Sol, GPT 5.6 family, and GPT 5.5 (1.05M); Claude Fable 5.1, Opus 5.5, Sonnet 5.5, and Haiku 5.5, Gemini 3.8 Flash, DeepSeek V4, GLM-5.3, Qwen 3.8 Max, Hy4 Preview, Kimi K3, MiMo V2.5 Pro, and Grok 4.20/4.3 (1M)
* **Coding and agent tasks**: GPT 6 Astra, GPT 6.1 Sol, Claude Fable 5.1, Claude Opus 5.5, GLM-5.3, Hy4 Preview, Kimi K3, MiMo V2.5 Pro, Grok 4.7, and DeepSeek V4.1 Flash
* **Capacity planning**: Leave room for model output, reasoning tokens, and tool results instead of filling the entire advertised context window

### Cost Optimization Suggestions

1. **Tiered Usage**: Use cheaper models for simple tasks, advanced models for complex tasks
2. **Testing and Optimization**: Test with small models first, scale to larger models once requirements are clear
3. **Batch Processing**: Use Mini versions for a large number of similar tasks
4. **Cache Reuse**: Cache results for repetitive queries

## 🔗 Related Resources

<CardGroup cols={2}>
  <Card title="API Documentation" icon="book" href="https://mixroute.ai" cta="Learn more">
    Detailed API reference
  </Card>

  <Card title="Quick Start" icon="rocket" href="https://mixroute.ai" cta="Learn more">
    Integration guide
  </Card>
</CardGroup>

<Note>
  Model list is continuously updated. We add newly released excellent models promptly. Contact support for specific models or bulk needs.
</Note>


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.