Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for audio-video analysis and summarization, video editing and production workflows, audio-video dialogue, coding, knowledge work, and GUI interaction, and it is particularly strong at long-form multimedia tasks that combine speech, sound, and visual context. It also supports two-channel and four-channel spatial audio understanding.
$0.075market price $0.15
$0.008market price $0.016
$0.235market price $0.47
Throughput is how fast the model writes (tokens per second, higher is better). Time to first token is how long before the answer starts (lower is better).
Share of requests served without a server error. Client errors (4xx) do not count.
Not enough throughput data
Not enough TTFT data
Works with the OpenAI SDK pointed at our base URL. Every parameter is in the API reference.
Tokens processed per day on NagaAI.
Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding.
On NagaAI, Qwen3.8 Omni Flash costs $0.075 per 1M input tokens and $0.235 per 1M output tokens. You pay only for what you use, with no subscription.
Qwen3.8 Omni Flash reads up to 1M tokens in one request, counting the prompt and the answer together.
Yes. Qwen3.8 Omni Flash can call your functions as tools and can answer in a JSON schema you give it.
It takes text, images and audio as input and returns text.
Create an API key, copy the model ID from the top of this page and send requests with the OpenAI or Anthropic SDK pointed at NagaAI. The API section on this page has a ready example.
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