Qwen: Qwen3 VL 235B A22B Thinking

Public pricingIntelligence 79/100Medium memoryVisiónRazonamiento profundoUso de herramientas

Qwen: Qwen3 VL 235B A22B Thinking es un modelo multimodal pensado para razonamiento y análisis multimodal. Combina el manejo multimodal de entradas y razonamiento y planificación profundos, un contexto de 131K tokens y un perfil costo equilibrado para trabajar con fiabilidad en razonamiento y análisis multimodal.

Input

$0.26/1M

Output

$2.60/1M

Cached

$0.07/1M

Batch

$0.13/1M

Calculate your Qwen3 VL 235B A22B Thinking bill.

Set your workload — see cost at your exact volume.

What would Qwen3 VL 235B A22B Thinking cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

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.

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 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.

Still unsure?

Compare Qwen3 VL 235B A22B Thinking 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