> ## Documentation Index
> Fetch the complete documentation index at: https://docs.a2agent.me/llms.txt
> Use this file to discover all available pages before exploring further.

# A2Agent Model Catalog: DeepSeek, GLM, Kimi, MiniMax & Qwen

> Browse all LLMs available on A2Agent — DeepSeek, GLM, Kimi, MiniMax, and Qwen — with context windows, capabilities, and model IDs.

A2Agent gives you access to 20+ models across 5 major Chinese AI platforms — DeepSeek, GLM (智谱), Kimi (Moonshot), MiniMax, and Qwen (通义千问) — through a single OpenAI-compatible API. Every model below is ready to use with your A2Agent API key; no separate platform accounts or credentials required.

## Models by Provider

<Tabs>
  <Tab title="DeepSeek">
    DeepSeek models excel at both general-purpose chat and multi-step reasoning tasks, making them a strong default choice for coding assistants, analysis pipelines, and interactive applications.

    | Model ID            | Context | Types           |
    | ------------------- | ------- | --------------- |
    | `deepseek-v4-flash` | 128K    | chat, reasoning |
    | `deepseek-v4-pro`   | 128K    | chat, reasoning |

    **Model notes**

    * **`deepseek-v4-flash`** — Fast, cost-efficient variant of the V4 series. Best for high-throughput workloads where response speed matters.
    * **`deepseek-v4-pro`** — Full-capability V4 model with stronger reasoning performance. Recommended for complex, multi-step tasks.
  </Tab>

  <Tab title="GLM">
    GLM (智谱 AI) models offer long-context windows up to 205K tokens and span general chat, agentic workflows, and advanced coding. The GLM-5 series introduces native agent-mode support for tool-calling pipelines.

    | Model ID      | Context | Types        |
    | ------------- | ------- | ------------ |
    | `glm-4.6`     | 205K    | chat         |
    | `glm-4.7`     | 205K    | chat         |
    | `glm-5`       | 203K    | chat, agent  |
    | `glm-5-turbo` | 203K    | chat, agent  |
    | `glm-5.1`     | 203K    | chat, coding |
    | `glm-5.2`     | —       | chat         |

    **Model notes**

    * **`glm-4.6` / `glm-4.7`** — Fourth-generation GLM models with 205K context; reliable for document-heavy chat and summarization.
    * **`glm-5`** — Fifth-generation flagship model with agent capabilities for tool-calling and multi-step orchestration.
    * **`glm-5-turbo`** — Faster, slightly pricier GLM-5 variant optimized for interactive agentic use cases.
    * **`glm-5.1`** — Tuned for code generation and technical tasks alongside general chat.
    * **`glm-5.2`** — Lightweight GLM-5 variant for cost-sensitive chat workloads.
  </Tab>

  <Tab title="Kimi">
    Kimi (Moonshot AI) models stand out with their 256K context window and native vision support, making them ideal for document analysis, image understanding, and long-form conversation.

    | Model ID         | Context | Types        |
    | ---------------- | ------- | ------------ |
    | `kimi-k2.5`      | 256K    | chat, vision |
    | `kimi-k2.6`      | 256K    | chat, vision |
    | `kimi-k2.7-code` | —       | chat, coding |

    **Model notes**

    * **`kimi-k2.5`** — Cost-effective Kimi model with full 256K context and vision input; great for PDF and image-grounded Q\&A.
    * **`kimi-k2.6`** — Enhanced K2 model with improved instruction-following and multimodal understanding.
    * **`kimi-k2.7-code`** — Code-specialized Kimi variant optimized for generation, review, and debugging tasks.
  </Tab>

  <Tab title="MiniMax">
    MiniMax M2 models deliver a balanced combination of long context (200K), coding ability, and competitive pricing, making them a practical choice for production deployments that need scalability without high costs.

    | Model ID                 | Context | Types        |
    | ------------------------ | ------- | ------------ |
    | `minimax-m2`             | 200K    | chat, coding |
    | `minimax-m2.1`           | 200K    | chat, coding |
    | `minimax-m2.1-highspeed` |         | chat         |
    | `minimax-m2.5`           | 200K    | chat, coding |
    | `minimax-m2.5-highspeed` |         | chat         |
    | `minimax-m2.7`           | 200K    | chat         |
    | `minimax-m2.7-highspeed` | 200K    | chat         |
    | `minimax-m3`             | 1M      | chat, agent  |

    **Model notes**

    * **`minimax-m2.1`** — Entry-level M2 model; best for bulk processing and straightforward coding tasks.
    * **`minimax-m2.5`** — Mid-tier M2 with improved coding quality at the same price point as M2.1.
    * **`minimax-m2.7`** — Latest MiniMax model focused on general chat with 200K context support.
  </Tab>

  <Tab title="Qwen">
    Qwen (通义千问) models from Alibaba Cloud span a wide capability range — from lean MoE architectures to frontier-class reasoning — giving you fine-grained control over the cost-performance tradeoff.

    | Model ID          | Context | Types |   |
    | ----------------- | ------- | ----- | - |
    | `qwen3.5-flash`   | —       | chat  |   |
    | `qwen3.5-plus`    | —       | chat  |   |
    | `qwen3.6-35b-a3b` | —       | chat  |   |
    | `qwen3.7-max-us`  | —       | chat  |   |
    | `qwen3.7-plus-us` | —       | chat  |   |

    **Model notes**

    * **`qwen3.5-plus`** — Qwen 3.5 flagship with strong general reasoning and instruction-following.
    * **`qwen3.6-35b-a3b`** — 35B dense model with a 3B active parameter MoE design; highly efficient for its capability tier.
    * **`qwen3.6-plus`** — Balanced Qwen 3.6 variant offering low cost with solid output quality.
    * **`qwen3.7-max`** — Top-of-line Qwen 3.7 model for the most demanding reasoning and generation tasks.
    * **`qwen3.7-plus`** — Performance-efficient Qwen 3.7 variant; great for high-volume workloads.
  </Tab>
</Tabs>

## Model Type Glossary

Understanding each capability type helps you choose the right model for your task.

* **chat** — General-purpose conversational inference. Covers Q\&A, summarization, translation, creative writing, and instruction-following.
* **reasoning** — Extended chain-of-thought capability for complex logic, math, and multi-step problem solving. These models think before they respond.
* **coding** — Fine-tuned for source code generation, debugging, code review, and technical documentation.
* **agent** — Supports tool-calling and function-calling protocols for building autonomous agents and multi-step orchestration pipelines.
* **vision** — Accepts image inputs alongside text prompts. Use for document parsing, screenshot analysis, and image-grounded Q\&A.
* **long-context** — Models with context windows of 128K tokens or more. Suitable for processing entire codebases, books, or lengthy conversation histories in a single request.

<Note>
  Model IDs are **case-sensitive**. Use them exactly as shown in the tables above when setting the `model` parameter in your API requests. For example, use `deepseek-v4-pro`, not `DeepSeek-V4-Pro` or `deepseek-v4-Pro`.
</Note>

<Info>
  Log in to your A2Agent account to unlock exclusive channel pricing — lower per-token rates on select models that aren't visible to unauthenticated users. [View your pricing →](https://a2agent.me/login)
</Info>
