Day 0 Support: Qwen3.8-Omni-Flash

LiteLLM supports qwen3.8-omni-flash on day 0 through the DashScope provider, with text, image, audio and video input and text output. Audio and video content parts pass straight through, so an OpenAI-shaped request works as it is.

Qwen calls it its first omni model built around agentic work. It reasons over audio and video together and calls tools across long jobs, such as editing a vlog or recapping a film. It has a 1M-token context window and 131K max output, and Qwen puts video input at about 89% cheaper than Qwen3.5-Omni-Plus.

Pricing

Per 1M tokens, International: $0.15 input, $0.016 cached input, $0.47 output. Pricing lands in PR #41754; without it requests route fine but log $0 spend. Hit Reload Model Cost Map in the Admin UI, or POST /reload/model_cost_map, to pick it up without a redeploy on v1.76.0 and above.

Usage

LiteLLM's DashScope provider defaults to the mainland China endpoint. On an International account, set api_base to https://dashscope-intl.aliyuncs.com/compatible-mode/v1, as below. Audio goes in as a data:;base64, URL rather than the bare base64 OpenAI accepts.

SDK

import base64
from litellm import completion

audio = base64.b64encode(open("clip.wav", "rb").read()).decode()

response = completion(
    model="dashscope/qwen3.8-omni-flash",
    api_base="https://dashscope-intl.aliyuncs.com/compatible-mode/v1",
    messages=[{"role": "user", "content": [
        {"type": "input_audio", "input_audio": {"data": "data:;base64," + audio, "format": "wav"}},
        {"type": "text", "text": "Summarize this clip in one sentence."},
    ]}],
)

print(response.choices[0].message.content)

Proxy

model_list:
  - model_name: qwen3.8-omni-flash
    litellm_params:
      model: dashscope/qwen3.8-omni-flash
      api_base: https://dashscope-intl.aliyuncs.com/compatible-mode/v1
      api_key: os.environ/DASHSCOPE_API_KEY

curl -X POST "http://0.0.0.0:4000/chat/completions" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $LITELLM_KEY" \
  -d '{
    "model": "qwen3.8-omni-flash",
    "messages": [{"role": "user", "content": "what llm are you"}]
  }'

Feedback

Running Qwen3.8-Omni-Flash through LiteLLM and hitting something unexpected? Share it on GitHub discussion #41845.