How much does Qwen3.8 Omni Flash cost?

Qwen3.8 Omni Flash costs $0.15 per million input tokens and $0.47 per million output tokens on standard pricing. A workload of 20M input and 5M output tokens a month is about $5.35.

What is the context length of Qwen3.8 Omni Flash?

Qwen3.8 Omni Flash accepts up to 1,000,000 tokens (1M) of input and can return up to 131,072 tokens in one response.

Does Qwen3.8 Omni Flash support tool calling and structured outputs?

Yes, Qwen3.8 Omni Flash supports function/tool calling and structured (JSON) outputs. Supported tools: Function calling, Structured outputs, JSON mode, Reasoning, Log probabilities, Deterministic seed, Prompt caching.

What inputs and outputs does Qwen3.8 Omni Flash support?

Qwen3.8 Omni Flash accepts Text, Image, Audio, Video as input and produces Text as output.

Which providers serve Qwen3.8 Omni Flash?

Qwen3.8 Omni Flash is available from 1 API provider: Alibaba. Prices can differ by provider.

When was Qwen3.8 Omni Flash released?

Qwen3.8 Omni Flash was released by Qwen in 2026-09-21.

Qwen3.8 Omni Flash

qwen3.8-omni-flash

API Provider site

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,... Built by Qwen.

Prices updated recently

Input price

$0.15

per 1M tokens · Standard

Output price

$0.47

per 1M tokens · Standard

Input limit

tokens

Output limit

131K

tokens

Input formats

TextImageVideoAudioPDF

Output formats

TextImageVideoAudioPDF

Compare

Qwen3.8 Omni Flash price history

2 price records since 9/25/2026

Qwen3.8 Omni Flash cost calculator

Input20M tokens

Output5M tokens

$5.35/month

Standard pricing

Overview

What is Qwen3.8 Omni Flash?

Qwen3.8 Omni Flash is a text & reasoning and vision model from Qwen. 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,... Its 1M context window and $0.15 input price make it a candidate for cost-sensitive, high-throughput applications.

Image understandingDocument analysisContent workflowsClassification

Rates

Qwen3.8 Omni Flash pricing

Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.

Input · Standard

$0.15

Per 1M tokens

Cached input · Standard

$0.02

Per 1M tokens

Capabilities

Qwen3.8 Omni Flash Tools

Tools available when using Qwen3.8 Omni Flash through supported provider APIs.

Function calling

Supported

Structured outputs

Supported

JSON mode

Supported

Reasoning

Supported

Built-in web search

Not supported

Log probabilities

Supported

Deterministic seed

Supported

Parallel tool calls

Not supported

Prompt caching

Supported

Strengths and limitations

Strengths

Low input cost at $0.15 per million tokens suits high-volume workloads.
1M context supports large documents, repositories and extended conversations.
Supports text & reasoning and vision workloads in one model.

Limitations

Generated tokens cost 3× more than input tokens, which matters for verbose responses.
Large context capacity does not guarantee consistent retrieval across the entire prompt.
Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.

Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.

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