How much does Qwen3.5-Flash cost?

Qwen3.5-Flash costs $0.07 per million input tokens and $0.26 per million output tokens on standard pricing. A workload of 20M input and 5M output tokens a month is about $2.60.

What is the context length of Qwen3.5-Flash?

Qwen3.5-Flash accepts up to 1,000,000 tokens (1M) of input and can return up to 65,536 tokens in one response.

Does Qwen3.5-Flash support tool calling and structured outputs?

Yes, Qwen3.5-Flash supports function/tool calling and structured (JSON) outputs. Supported tools: Function calling, Structured outputs, JSON mode, Reasoning, Deterministic seed.

What inputs and outputs does Qwen3.5-Flash support?

Qwen3.5-Flash accepts Text, Image, Video as input and produces Text as output.

When was Qwen3.5-Flash released?

Qwen3.5-Flash was released by Qwen in 2026-02-25.

Qwen3.5-Flash

qwen3.5-flash-02-23

API Provider site

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the... Built by Qwen.

Prices updated recently

Input price

$0.07

per 1M tokens · Standard

Output price

$0.26

per 1M tokens · Standard

Input limit

tokens

Output limit

66K

tokens

Input formats

TextImageVideoAudioPDF

Output formats

TextImageVideoAudioPDF

Compare

Qwen3.5-Flash price history

2 price records since 9/25/2026

Qwen3.5-Flash cost calculator

Input20M tokens

Output5M tokens

$2.60/month

Standard pricing

Overview

What is Qwen3.5-Flash?

Qwen3.5-Flash is a text & reasoning and vision model from Qwen. The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the... Its 1M context window and $0.07 input price make it a candidate for cost-sensitive, high-throughput applications.

Image understandingDocument analysisContent workflowsClassification

Rates

Qwen3.5-Flash pricing

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

Input · Standard

$0.07

Per 1M tokens

Cached input · Standard

Not available

No listed cached-input rate

Capabilities

Qwen3.5-Flash Tools

Tools available when using Qwen3.5-Flash through supported provider APIs.

Function calling

Supported

Structured outputs

Supported

JSON mode

Supported

Reasoning

Supported

Built-in web search

Not supported

Log probabilities

Not supported

Deterministic seed

Supported

Parallel tool calls

Not supported

Prompt caching

Not supported

Strengths and limitations

Strengths

Low input cost at $0.07 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 4× 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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