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Alibaba Cloud (Qwen) Provider

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Alibaba Cloud (Qwen)

Alibaba Cloud's DashScope API provides OpenAI-compatible access to Qwen language models. Compatible with all OpenAI provider options in promptfoo.

Setup

To use Alibaba Cloud's API, set the DASHSCOPE_API_KEY environment variable or specify via apiKey in the configuration file:

sh
export DASHSCOPE_API_KEY=your_api_key_here

Configuration

The provider supports all OpenAI provider configuration options. Example usage:

yaml
# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
providers:
  - alibaba:qwen-max # Simple usage
  - id: alibaba:qwen-plus # Aliases: alicloud:, aliyun:, dashscope:
    config:
      temperature: 0.7
      apiKey: your_api_key_here # Alternative to DASHSCOPE_API_KEY environment variable
      apiBaseUrl: https://dashscope-intl.aliyuncs.com/compatible-mode/v1 # Optional: Override default API base URL

:::note

If you're using the Alibaba Cloud Beijing region console, switch the base URL to https://dashscope.aliyuncs.com/compatible-mode/v1 instead of the international endpoint.

:::

Supported Models

The Alibaba provider includes support for the following model formats:

Qwen 3 Flagship

  • qwen3-max - Next-generation flagship with reasoning and tool integration
  • qwen3-max-preview - Preview version with thinking mode support
  • qwen3-max-2025-09-23 - September 2025 snapshot
  • qwen-max - 32K context (30,720 in, 8,192 out)
  • qwen-max-latest - Always updated to latest version
  • qwen-max-2025-01-25 - January 2025 snapshot
  • qwen-plus / qwen-plus-latest - 128K-1M context (thinking & non-thinking modes)
  • qwen-plus-2025-09-11, qwen-plus-2025-07-28, qwen-plus-2025-07-14, qwen-plus-2025-04-28, qwen-plus-2025-01-25 - Dated snapshots
  • qwen-flash / qwen-flash-2025-07-28 - Latency-optimized general model
  • qwen-turbo / qwen-turbo-latest / qwen-turbo-2025-04-28 / qwen-turbo-2024-11-01 - Fast, cost-effective (being replaced by qwen-flash)
  • qwen-long-latest / qwen-long-2025-01-25 - 10M context for long-text analysis, summarization, and extraction

Qwen 3 Omni & Realtime

  • qwen3-omni-flash / qwen3-omni-flash-2025-09-15 - Multimodal flagship with speech + vision support (thinking & non-thinking modes)
  • qwen3-omni-flash-realtime / qwen3-omni-flash-realtime-2025-09-15 - Streaming realtime with audio stream input and VAD
  • qwen3-omni-30b-a3b-captioner - Dedicated audio captioning model (speech, ambient sounds, music)
  • qwen2.5-omni-7b - Qwen2.5-based multimodal model with text, image, speech, and video inputs

Reasoning & Research

  • qwq-plus - Alibaba's reasoning model (commercial)
  • qwq-32b - Open-source QwQ reasoning model trained on Qwen2.5
  • qwq-32b-preview - Experimental QwQ research model (2024)
  • qwen-deep-research - Long-form research assistant with web search
  • qvq-max / qvq-max-latest / qvq-max-2025-03-25 - Visual reasoning models (commercial)
  • qvq-72b-preview - Experimental visual reasoning research model
  • DeepSeek models (hosted by Alibaba Cloud):
    • deepseek-v3.2-exp / deepseek-v3.1 / deepseek-v3 - Latest DeepSeek models (671-685B)
    • deepseek-r1 / deepseek-r1-0528 - DeepSeek reasoning models
    • deepseek-r1-distill-qwen-{1.5b,7b,14b,32b} - Distilled on Qwen2.5
    • deepseek-r1-distill-llama-{8b,70b} - Distilled on Llama

Vision & Multimodal

Commercial:

  • qwen3-vl-plus / qwen3-vl-plus-2025-09-23 - High-res image support with long context (thinking & non-thinking modes)
  • qwen3-vl-flash / qwen3-vl-flash-2025-10-15 - Fast vision model with thinking mode support
  • qwen-vl-max - 7.5K context, 1,280 tokens/image
  • qwen-vl-plus - High-res image support
  • qwen-vl-ocr - OCR-optimized for documents, tables, handwriting (30+ languages)

Open-source:

  • qwen3-vl-235b-a22b-thinking / qwen3-vl-235b-a22b-instruct - 235B parameter Qwen3-VL
  • qwen3-vl-32b-thinking / qwen3-vl-32b-instruct - 32B parameter Qwen3-VL
  • qwen3-vl-30b-a3b-thinking / qwen3-vl-30b-a3b-instruct - 30B parameter Qwen3-VL
  • qwen3-vl-8b-thinking / qwen3-vl-8b-instruct - 8B parameter Qwen3-VL
  • qwen2.5-vl-{72b,7b,3b}-instruct - Qwen 2.5 VL series

Audio & Speech

  • qwen3-asr-flash / qwen3-asr-flash-2025-09-08 - Multilingual speech recognition (11 languages, Chinese dialects)
  • qwen3-asr-flash-realtime / qwen3-asr-flash-realtime-2025-10-27 - Real-time speech recognition with automatic language detection
  • qwen3-omni-flash-realtime - Supports speech streaming with VAD

Coding & Math

Commercial:

  • qwen3-coder-plus / qwen3-coder-plus-2025-09-23 / qwen3-coder-plus-2025-07-22 - Coding agents with tool calling
  • qwen3-coder-flash / qwen3-coder-flash-2025-07-28 - Fast code generation
  • qwen-math-plus / qwen-math-plus-latest / qwen-math-plus-2024-09-19 / qwen-math-plus-2024-08-16 - Math problem solving
  • qwen-math-turbo / qwen-math-turbo-latest / qwen-math-turbo-2024-09-19 - Fast math reasoning
  • qwen-mt-{plus,turbo} - Machine translation (92 languages)
  • qwen-doc-turbo - Document mining and structured extraction

Open-source:

  • qwen3-coder-480b-a35b-instruct / qwen3-coder-30b-a3b-instruct - Open-source Qwen3 coder models
  • qwen2.5-math-{72b,7b,1.5b}-instruct - Math-focused models with CoT/PoT/TIR reasoning

Qwen 2.5 Series

All support 131K context (129,024 in, 8,192 out)

  • qwen2.5-{72b,32b,14b,7b}-instruct
  • qwen2.5-{7b,14b}-instruct-1m

Qwen 2 Series

  • qwen2-72b-instruct - 131K context
  • qwen2-57b-a14b-instruct - 65K context
  • qwen2-7b-instruct - 131K context

Qwen 1.5 Series

8K context (6K in, 2K out)

  • qwen1.5-{110b,72b,32b,14b,7b}-chat

Qwen 3 Open-source Models

Latest open-source Qwen3 models with thinking mode support:

  • qwen3-next-80b-a3b-thinking / qwen3-next-80b-a3b-instruct - Next-gen 80B (September 2025)
  • qwen3-235b-a22b-thinking-2507 / qwen3-235b-a22b-instruct-2507 - 235B July 2025 versions
  • qwen3-30b-a3b-thinking-2507 / qwen3-30b-a3b-instruct-2507 - 30B July 2025 versions
  • qwen3-235b-a22b - 235B with dual-mode support (thinking/non-thinking)
  • qwen3-32b - 32B dual-mode model
  • qwen3-30b-a3b - 30B dual-mode model
  • qwen3-14b, qwen3-8b, qwen3-4b - Smaller dual-mode models
  • qwen3-1.7b, qwen3-0.6b - Edge/mobile models

Third-party Models

Kimi (Moonshot AI):

  • moonshot-kimi-k2-instruct - First open-source trillion-parameter MoE model in China (activates 32B parameters)

Embeddings

  • text-embedding-v3 - 1,024d vectors, 8,192 token limit, 50+ languages
  • text-embedding-v4 - Latest Qwen3-Embedding with flexible dimensions (64-2048d), 100+ languages

Image Generation

  • qwen-image-plus - Text-to-image with complex text rendering (Chinese/English)

For the latest availability, see the official DashScope model catalog, which is updated frequently.

Additional Configuration

  • vl_high_resolution_images: bool - Increases image token limit from 1,280 to 16,384 (qwen-vl-max only)

Standard OpenAI parameters (temperature, max_tokens) are supported. Base URL: https://dashscope-intl.aliyuncs.com/compatible-mode/v1 (or https://dashscope.aliyuncs.com/compatible-mode/v1 for the Beijing region).

For API usage details, see Alibaba Cloud documentation.

See Also

Reference