How much does Qwen3.6 35B A3B cost?

Qwen3.6 35B A3B costs $0.15 per million input tokens and $1.00 per million output tokens on standard pricing. A workload of 20M input and 5M output tokens a month is about $8.00.

What is the context length of Qwen3.6 35B A3B?

Qwen3.6 35B A3B accepts up to 262,144 tokens (262K) of input and can return up to 235,929 tokens in one response.

Does Qwen3.6 35B A3B support tool calling and structured outputs?

Yes, Qwen3.6 35B A3B 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 Qwen3.6 35B A3B support?

Qwen3.6 35B A3B accepts Text, Image, Video as input and produces Text as output.

When was Qwen3.6 35B A3B released?

Qwen3.6 35B A3B was released by Qwen in 2026-04-27.

Qwen3.6 35B A3B

qwen3.6-35b-a3b

API Provider site

Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. It uses a hybrid sparse mixture-of-experts architecture combining Gated... Built by Qwen.

Prices updated recently

Input price

$0.15

per 1M tokens · Standard

Output price

$1.00

per 1M tokens · Standard

Input limit

262K

tokens

Output limit

236K

tokens

Input formats

TextImageVideoAudioPDF

Output formats

TextImageVideoAudioPDF

Compare

Qwen3.6 35B A3B price history

2 price records since 9/25/2026

Qwen3.6 35B A3B cost calculator

Input20M tokens

Output5M tokens

$8.00/month

Standard pricing

Overview

What is Qwen3.6 35B A3B?

Qwen3.6 35B A3B is a text & reasoning and vision model from Qwen. Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. It uses a hybrid sparse mixture-of-experts architecture combining Gated... Its 262K context window and $0.15 input price make it a candidate for cost-sensitive, high-throughput applications.

Image understandingDocument analysisContent workflowsClassification

Benchmarks

Qwen3.6 35B A3B benchmarks & speed

How Qwen3.6 35B A3B scores on standardized evaluations, and where it lands among every model we track.

18.2

Intelligence Index

Better than 47% of 153 models

131tok/s

Output speed

Better than 70% of 119 models

Reasoning

GPQA Diamond

84.1%

Graduate-level scientific reasoning · top 46%

HLE

22.2%

Humanity's Last Exam · top 50%

Coding

SciCode

36.6%

Python for scientific computing · top 86%

Latency & design

Time to first token: 2.1s

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

Qwen3.6 35B A3B 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

$0.05

Per 1M tokens

Capabilities

Qwen3.6 35B A3B Tools

Tools available when using Qwen3.6 35B A3B 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.
262K context supports large documents, repositories and extended conversations.
Supports text & reasoning and vision workloads in one model.

Limitations

Generated tokens cost 7× 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.

Same provider