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---
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sidebar_position: 3
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slug: /supported_models
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sidebar_custom_props: {
categoryIcon: LucideBox
}
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---
# Supported models
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import APITable from '@site/src/components/APITable';
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A complete list of models supported by RAGFlow, which will continue to expand.
```mdx-code-block
<APITable>
```
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| Provider | LLM | Image2Text | Speech2text | TTS | Embedding | Rerank | OCR |
| --------------------- | ------------------ | ------------------ | ------------------ | ------------------ | ------------------ | ------------------ | ------------------ |
| Anthropic | :heavy_check_mark: | | | | | | |
feat: Add Avian as an LLM provider (#13256)
### What problem does this PR solve?
This PR adds [Avian](https://avian.io) as a new LLM provider to RAGFlow.
Avian provides an OpenAI-compatible API with competitive pricing,
offering access to models like DeepSeek V3.2, Kimi K2.5, GLM-5, and
MiniMax M2.5.
**Provider details:**
- API Base URL: `https://api.avian.io/v1`
- Auth: Bearer token via API key
- OpenAI-compatible (chat completions, streaming, function calling)
- Models:
- `deepseek/deepseek-v3.2` — 164K context, $0.26/$0.38 per 1M tokens
- `moonshotai/kimi-k2.5` — 131K context, $0.45/$2.20 per 1M tokens
- `z-ai/glm-5` — 131K context, $0.30/$2.55 per 1M tokens
- `minimax/minimax-m2.5` — 1M context, $0.30/$1.10 per 1M tokens
**Changes:**
- `rag/llm/chat_model.py` — Add `AvianChat` class extending `Base`
- `rag/llm/__init__.py` — Register in `SupportedLiteLLMProvider`,
`FACTORY_DEFAULT_BASE_URL`, `LITELLM_PROVIDER_PREFIX`
- `conf/llm_factories.json` — Add Avian factory with model definitions
- `web/src/constants/llm.ts` — Add to `LLMFactory` enum, `IconMap`,
`APIMapUrl`
- `web/src/components/svg-icon.tsx` — Register SVG icon
- `web/src/assets/svg/llm/avian.svg` — Provider icon
- `docs/references/supported_models.mdx` — Add to supported models table
This follows the same pattern as other OpenAI-compatible providers
(e.g., n1n #12680, TokenPony).
cc @KevinHuSh @JinHai-CN
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
- [x] Documentation Update
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| Avian | :heavy_check_mark: | | | | | | |
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| Azure-OpenAI | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | :heavy_check_mark: | | |
| BaiChuan | :heavy_check_mark: | | | | :heavy_check_mark: | | |
| BaiduYiyan | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | :heavy_check_mark: | |
| Bedrock | :heavy_check_mark: | | | | :heavy_check_mark: | | |
| Cohere | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | :heavy_check_mark: | |
| DeepSeek | :heavy_check_mark: | | | | | | |
| Fish Audio | | | | :heavy_check_mark: | | | |
| Gemini | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | | |
| Google Cloud | :heavy_check_mark: | | | | | | |
| GPUStack | :heavy_check_mark: | | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | |
| Groq | :heavy_check_mark: | | | | | | |
| HuggingFace | :heavy_check_mark: | | | | :heavy_check_mark: | | |
| Jina | | | | | :heavy_check_mark: | :heavy_check_mark: | |
| LocalAI | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | | |
| LongCat | :heavy_check_mark: | | | | | | |
| LM-Studio | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | | |
| MiniMax | :heavy_check_mark: | | | | | | |
| MinerU | | | | | | | :heavy_check_mark: |
| Mistral | :heavy_check_mark: | | | | :heavy_check_mark: | | |
| ModelScope | :heavy_check_mark: | | | | | | |
| Moonshot | :heavy_check_mark: | :heavy_check_mark: | | | | | |
| NovitaAI | :heavy_check_mark: | | | | :heavy_check_mark: | | |
| NVIDIA | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | :heavy_check_mark: | |
| Ollama | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | | |
| OpenAI | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | |
| OpenAI-API-Compatible | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | :heavy_check_mark: | |
| OpenRouter | :heavy_check_mark: | :heavy_check_mark: | | | | | |
| Replicate | :heavy_check_mark: | | | | :heavy_check_mark: | | |
| PPIO | :heavy_check_mark: | | | | | | |
| SILICONFLOW | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | :heavy_check_mark: | |
| StepFun | :heavy_check_mark: | | | | | | |
| Tencent Hunyuan | :heavy_check_mark: | | | | | | |
| Tencent Cloud | | | :heavy_check_mark: | | | | |
| TogetherAI | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | :heavy_check_mark: | |
| TokenPony | :heavy_check_mark: | | | | | | |
| Tongyi-Qianwen | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | |
| Upstage | :heavy_check_mark: | | | | :heavy_check_mark: | | |
| VLLM | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | :heavy_check_mark: | |
| VolcEngine | :heavy_check_mark: | | | | | | |
| Voyage AI | | :heavy_check_mark: | | | :heavy_check_mark: | :heavy_check_mark: | |
| Xinference | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | |
| XunFei Spark | :heavy_check_mark: | | | :heavy_check_mark: | | | |
| xAI | :heavy_check_mark: | :heavy_check_mark: | | | | | |
| ZHIPU-AI | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | | |
| DeepInfra | :heavy_check_mark: | | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | |
| 302.AI | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | :heavy_check_mark: | |
| CometAPI | :heavy_check_mark: | | | | :heavy_check_mark: | | |
| DeerAPI | :heavy_check_mark: | :heavy_check_mark: | | :heavy_check_mark: | :heavy_check_mark: | | |
| Jiekou.AI | :heavy_check_mark: | | | | :heavy_check_mark: | :heavy_check_mark: | |
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```mdx-code-block
</APITable>
```
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:::danger IMPORTANT
If your model is not listed here but has APIs compatible with those of OpenAI, click **OpenAI-API-Compatible** on the **Model providers** page to configure your model.
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:::
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## Example: AI Badgr (OpenAI-compatible)
You can use **AI Badgr** with RAGFlow via the existing OpenAI-API-Compatible provider.
To configure AI Badgr:
- **Provider**: `OpenAI-API-Compatible`
- **Base URL**: `https://aibadgr.com/api/v1`
- **API Key**: your AI Badgr API key (from the AI Badgr dashboard)
- **Model**: any AI Badgr chat or embedding model ID, as exposed by AI Badgr's OpenAI-compatible APIs
AI Badgr implements OpenAI-compatible endpoints for `/v1/chat/completions`, `/v1/embeddings`, and `/v1/models`, so no additional code changes in RAGFlow are required.
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:::note
The list of supported models is extracted from [this source](https://github.com/infiniflow/ragflow/blob/main/rag/llm/__init__.py) and may not be the most current. For the latest supported model list, please refer to the Python file.
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:::