Qwen: Qwen3 VL 235B A22B Thinking

Public pricingIntelligence 79/100Medium memoryVisieDiep redenerenToolgebruik

Qwen: Qwen3 VL 235B A22B Thinking is een multimodaal-model voor multimodaal redeneren en analyseren. Het combineert multimodale invoerverwerking en diep redeneren en plannen, een context van 131K tokens en een evenwichtig geprijsd-profiel voor betrouwbaar werk in multimodaal redeneren en analyseren.

Input

$0.26/1M

Output

$2.60/1M

Cached

$0.07/1M

Batch

$0.13/1M

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What would Qwen3 VL 235B A22B Thinking cost you?

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Technical specifications

Qwen3 VL 235B A22B Thinking at a glance.

Memory

131,072

tokens

Max reply

32,768

tokens

Memory tier

Medium

a long report or a codebase file

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 Thinking

  • Multi-step reasoning, research agents, or hard math.
  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • 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 Thinking — 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 Thinking costs roughly $124 per month. Input is $0.26 /1M tokens and output is $2.60 /1M tokens.
Qwen3 VL 235B A22B Thinking has a 131,072-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,576 words of input and history in a single call.
Beyond text generation, Qwen3 VL 235B A22B Thinking supports understanding images, deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Qwen3 VL 235B A22B Thinking was released in September 2025, with training data cut off around April 2025.
Models in a similar class include Qwen Plus 0728 (thinking), Qwen-Plus, Qwen3.5 Plus 2026-02-15. The "Similar models" section below this FAQ links into each.

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