When was Qwen3 VL 32B Instruct released?

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

How big is Qwen3 VL 32B Instruct?

Qwen3 VL 32B Instruct 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 Instruct?

Qwen3 VL 32B Instruct was created by Qwen.

What is the license for Qwen3 VL 32B Instruct?

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

Is Qwen3 VL 32B Instruct multimodal?

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

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

Qwen3 VL 32B Instruct 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 Instruct against?

Common Qwen3 VL 32B Instruct comparisons include Qwen3 VL 32B Instruct vs Claude 3 Opus, Qwen3 VL 32B Instruct vs Phi 4 Reasoning Plus, Qwen3 VL 32B Instruct vs GPT-4 Turbo. Compare them side by side for benchmark scores, pricing, context window, latency and provider availability.

Qwen3 VL 32B Instruct Benchmarks, Pricing & Context Window

Name: Qwen3 VL 32B Instruct
Author: Qwen

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

Qwen3 VL 32B Instruct 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 Instruct benchmarks

Capability tiers

Standing within each category, adjusted for leaderboard depth.

Real tasks performance

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

Performance by conversation depth

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

Quality Tracker

Qwen3 VL 32B Instruct Performance Across Datasets

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

llm-stats.com - Thu Oct 08 2026

Notice missing or incorrect data?

Qwen3 VL 32B Instruct model size

Qwen3 VL 32B Instruct 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 Instructin Huggle

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Qwen3 VL 32B Instruct latency

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

Qwen3 VL 32B Instruct examples

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

Qwen3 VL 32B Instruct license

Qwen3 VL 32B Instruct 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 Instruct resources

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

Qwen3 VL 32B Instruct vs other models

The most-compared alternatives to Qwen3 VL 32B Instruct are Claude 3 Opus, Phi 4 Reasoning Plus, GPT-4 Turbo. Open any pair side-by-side for benchmarks, pricing, context, and latency.