Qwen: Qwen3 VL 30B A3B Instruct

Public pricingIntelligence 79/100Medium memoryVisionTool use

Qwen: Qwen3 VL 30B A3B Instruct is a multimodal model for vision-language understanding. It combines multimodal input handling and image understanding with a 131K tokens context window and a low-cost profile. Use it for image and video understanding when quality, speed, and cost matters. It is a practical choice for teams that need reliable output, flexible deployment, and room to scale.

Input

$0.13/1M

Output

$0.52/1M

Cached

$0.02/1M

Batch

$0.04/1M

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Technical specifications

Qwen3 VL 30B A3B Instruct 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

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 30B A3B 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 30B A3B 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 30B A3B Instruct costs roughly $31 per month. Input is $0.13 /1M tokens and output is $0.52 /1M tokens.
Qwen3 VL 30B A3B 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 30B A3B Instruct supports understanding images, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Qwen3 VL 30B A3B Instruct was released in October 2025, with training data cut off around April 2025.
Models in a similar class include Qwen3 VL 30B A3B Thinking, Qwen VL Plus, Qwen3 VL 8B Thinking. The "Similar models" section below this FAQ links into each.

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