Qwen: Qwen3 VL 235B A22B Instruct

Public pricingIntelligence 79/100Large memoryVisioneUso di strumenti

Qwen: Qwen3 VL 235B A22B Instruct è un modello multimodale pensato per comprensione visione-linguaggio. Unisce la gestione multimodale degli input e la comprensione delle immagini, un contesto di 262K tokens e un profilo a basso costo per un lavoro affidabile in image and video understanding.

Input

$0.20/1M

Output

$0.88/1M

Cached

$0.11/1M

Batch

$0.10/1M

Calculate your Qwen3 VL 235B A22B Instruct bill.

Set your workload — see cost at your exact volume.

What would Qwen3 VL 235B A22B Instruct cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

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.

Get instant answers from our AI agent

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.

Still unsure?

Compare Qwen3 VL 235B A22B Instruct against 100+ other models.

Open the full wizard — pick a use case, set your usage, and see side-by-side monthly costs in under a minute.

Open the comparison wizard