Qwen: Qwen3 VL 32B Instruct

Public pricingIntelligence 79/100Medium memoryVisãoUso de ferramentas

Qwen: Qwen3 VL 32B Instruct é um modelo multimodal criado para raciocínio e análise multimodal. Ele combina o tratamento multimodal de entradas e raciocínio e planejamento profundos, um contexto de 131K tokens e um perfil baixo custo para entregar trabalho confiável em raciocínio e análise multimodal.

Input

$0.10/1M

Output

$0.42/1M

Cached

$0.04/1M

Batch

$0.07/1M

Calculate your Qwen3 VL 32B Instruct bill.

Set your workload — see cost at your exact volume.

What would Qwen3 VL 32B Instruct cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

Qwen3 VL 32B Instruct at a glance.

Memory

131,072

tokens

Max reply

32,768

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

qwen

Released

Oct 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 32B Instruct

  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.
  • Multimodal pipelines mixing text + images.

When to look elsewhere

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

Alternatives

Similar models to compare.

FAQ

Qwen3 VL 32B 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 32B Instruct costs roughly $24 per month. Input is $0.10 /1M tokens and output is $0.42 /1M tokens.
Qwen3 VL 32B Instruct 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 32B Instruct supports understanding images, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Qwen3 VL 32B Instruct was released in October 2025, with training data cut off around April 2025.
Models in a similar class include Qwen3.5-9B, Qwen3 VL 8B Thinking, Qwen3 VL 8B Instruct. The "Similar models" section below this FAQ links into each.

Still unsure?

Compare Qwen3 VL 32B 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