How much does Qwen3.5-9B cost?

Qwen3.5-9B costs $0.10 per million input tokens and $0.15 per million output tokens on standard pricing. A workload of 20M input and 5M output tokens a month is about $2.75.

What is the context length of Qwen3.5-9B?

Qwen3.5-9B accepts up to 262,144 tokens (262K) of input and can return up to 32,768 tokens in one response.

Does Qwen3.5-9B support tool calling and structured outputs?

Yes, Qwen3.5-9B supports function/tool calling and structured (JSON) outputs. Supported tools: Function calling, Structured outputs, JSON mode, Reasoning, Log probabilities, Deterministic seed.

What inputs and outputs does Qwen3.5-9B support?

Qwen3.5-9B accepts Text, Image, Video as input and produces Text as output.

When was Qwen3.5-9B released?

Qwen3.5-9B was released by Qwen in 2026-03-10.

Qwen3.5-9B

qwen3.5-9b

API Provider site

Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design... Built by Qwen.

Prices updated recently

Input price

$0.10

per 1M tokens · Standard

Output price

$0.15

per 1M tokens · Standard

Input limit

262K

tokens

Output limit

33K

tokens

Input formats

TextImageVideoAudioPDF

Output formats

TextImageVideoAudioPDF

Compare

Qwen3.5-9B price history

2 price records since 9/25/2026

Qwen3.5-9B cost calculator

Input20M tokens

Output5M tokens

$2.75/month

Standard pricing

Overview

What is Qwen3.5-9B?

Qwen3.5-9B is a text & reasoning and vision model from Qwen. Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design... Its 262K context window and $0.10 input price make it a candidate for cost-sensitive, high-throughput applications.

Image understandingDocument analysisContent workflowsClassification

Benchmarks

Qwen3.5-9B benchmarks & speed

How Qwen3.5-9B scores on standardized evaluations, and where it lands among every model we track.

11.2

Intelligence Index

Better than 30% of 153 models

66tok/s

Output speed

Better than 31% of 119 models

Reasoning

GPQA Diamond

80.6%

Graduate-level scientific reasoning · top 55%

HLE

14.9%

Humanity's Last Exam · top 58%

Coding

SciCode

29.5%

Python for scientific computing · top 96%

Latency & design

Time to first token: 1.81s

Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.

Rates

Qwen3.5-9B pricing

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

Input · Standard

$0.10

Per 1M tokens

Cached input · Standard

Not available

No listed cached-input rate

Capabilities

Qwen3.5-9B Tools

Tools available when using Qwen3.5-9B 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

Not supported

Strengths and limitations

Strengths

Low input cost at $0.10 per million tokens suits high-volume workloads.
262K context supports large documents, repositories and extended conversations.
Supports text & reasoning and vision workloads in one model.

Limitations

Real-world cost still depends on prompt length, response length and provider-specific billing rules.
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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