When was Qwen3 VL 32B Thinking released?

Qwen3 VL 32B Thinking was released on September 22, 2025 by Qwen. This is the official Qwen3 VL 32B Thinking release date tracked on LLM Stats.

How big is Qwen3 VL 32B Thinking?

Qwen3 VL 32B Thinking has 33 billion parameters. It ships as an open-weight model, so you can download and run it on your own hardware.

Who created Qwen3 VL 32B Thinking?

Qwen3 VL 32B Thinking was created by Qwen.

What is the license for Qwen3 VL 32B Thinking?

Qwen3 VL 32B Thinking is released under the Apache 2.0 license. This is an open-source / open-weight license that permits self-hosting.

Is Qwen3 VL 32B Thinking multimodal?

Yes, Qwen3 VL 32B Thinking is multimodal and can accept both text and images as input.

Where is the Qwen3 VL 32B Thinking paper or technical report?

Qwen3 VL 32B Thinking has a paper or technical report available at https://qwen.ai/blog?id=99f0335c4ad9ff6153e517418d48535ab6d8afef&from=research.latest-advancements-list. Use that source for architecture, training, release and evaluation details.

What models should I compare Qwen3 VL 32B Thinking against?

Common Qwen3 VL 32B Thinking comparisons include Qwen3 VL 32B Thinking vs Kimi K2 0905, Qwen3 VL 32B Thinking vs Ministral 3 (14B Reasoning 2512), Qwen3 VL 32B Thinking vs GPT-4o. Compare them side by side for benchmark scores, pricing, context window, latency and provider availability.

Qwen3 VL 32B Thinking Benchmarks, Pricing & Context Window

Name: Qwen3 VL 32B Thinking
Author: Qwen

Qwen3 VL 32B Thinking: Benchmarks, Pricing & Context Window

Qwen3 VL 32B Thinking is a language model from Qwen, released in September 2025, with multimodal input.

Qwen3-VL is a large multimodal model that unifies vision, language, and reasoning to achieve human-level perception and cognition across text, images, and video. Built on a 235B-parameter architecture, it integrates early joint training of

Qwen3 VL 32B Thinking benchmarks

Capability tiers

Standing within each category, adjusted for leaderboard depth.

Real tasks performance

High-confidence performance for Qwen3 VL 32B Thinking across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.

Performance by conversation depth

How Qwen3 VL 32B Thinking holds up as conversations get longer.

Quality Tracker

Qwen3 VL 32B Thinking Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

llm-stats.com - Thu Oct 08 2026

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Qwen3 VL 32B Thinking model size

Qwen3 VL 32B Thinking has 33 billion parameters. See how it compares to other models in the same parameter range.

Parameters

33B

Large (30–80B)

33B

1B7B70B405B

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Qwen3 VL 32B Thinkingin Huggle

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Qwen3 VL 32B Thinking latency

Qwen3 VL 32B Thinking time to first token, sustained output throughput, and failed-request rate from live model usage over the trailing 7 days.

Qwen3 VL 32B Thinking examples

Recent arena outputs from Qwen3 VL 32B Thinking, picked from the highest-ranked matchups.

Qwen3 VL 32B Thinking license

Qwen3 VL 32B Thinking is released under the Apache 2.0 license, which permits commercial use, has 33.0B parameters.

License: Apache 2.0; Commercial use allowed
Parameters: 33.0B

Apache License 2.0 - allows commercial use

Qwen3 VL 32B Thinking resources

Official sources for Qwen3 VL 32B Thinking: provider documentation, official playground, official launch post, source repository, model weights.

Qwen3 VL 32B Thinking vs other models

The most-compared alternatives to Qwen3 VL 32B Thinking are Kimi K2 0905, Ministral 3 (14B Reasoning 2512), GPT-4o. Open any pair side-by-side for benchmarks, pricing, context, and latency.