Qwen: Qwen3 VL 235B A22B Instruct

Public pricingIntelligence 79/100Large memoryVisãoUso de ferramentas

Qwen: Qwen3 VL 235B A22B Instruct é um modelo multimodal criado para compreensão visão-linguagem. Ele combina o tratamento multimodal de entradas e a compreensão de imagens, um contexto de 262K tokens e um perfil baixo custo para entregar trabalho confiável em image and video understanding.

Input

$0.20/1M

Output

$0.88/1M

Cached

$0.11/1M

Batch

$0.10/1M

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Technical specifications

Qwen3 VL 235B A22B Instruct at a glance.

Memory

262,144

tokens

Max reply

32,768

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

qwen3

Released

Sep 2025

Training cutoff

Apr 2025

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Qwen3 VL 235B A22B Instruct

  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

Qwen3 VL 235B A22B Instruct — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

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At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Qwen3 VL 235B A22B Instruct costs roughly $50 per month. Input is $0.20 /1M tokens and output is $0.88 /1M tokens.
Qwen3 VL 235B A22B Instruct has a 262,144-token context window (large memory — an entire book or large codebase). That means you can fit about 49,152 words of input and history in a single call.
Beyond text generation, Qwen3 VL 235B A22B Instruct supports understanding images, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Qwen3 VL 235B A22B Instruct was released in September 2025, with training data cut off around April 2025.
Models in a similar class include Qwen3.5-27B, Qwen3.5-35B-A3B, Qwen Plus 0728 (thinking). The "Similar models" section below this FAQ links into each.

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