
Qwen3-VL
235B open vision-language model that reasons over two-hour videos
About
Qwen3-VL is Alibaba's flagship vision-language series, launched September 2025 with the 235B-A22B mixture-of-experts at the top and smaller 2B to 32B variants following. The flagship activates 22B parameters per token and carries 256K native context, expandable toward 1M tokens, which Alibaba uses to demonstrate analysis of two-hour videos with near-perfect frame retrieval in needle-in-a-haystack tests. It covers 2D and 3D spatial understanding, document VQA, chart and table reasoning, GUI interaction, and code generation from screenshots, with text-timestamp alignment for precise event localization in video. Instruct and Thinking variants shipped together. Alibaba reports wins over Gemini 2.5 Pro on several vision benchmarks; treat these as team-reported, since very high scores on imperfect benchmarks deserve skepticism. Everything is Apache 2.0 on Hugging Face, and the technical report is on arXiv. The 235B size is strictly server-side, but the 8B and smaller variants are practical for single-GPU work.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Team-reported: beats Gemini 2.5 Pro on several vision benchmarks; 100% 30-min video needle retrieval, 99.5% at 2 hours
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 9/10
Scored 9/10 (verified tier, metrics-v1). Evidence: Release 2025-09-23 verified via official GitHub and press; 235B-A22B specs, 256K context, Apache 2.0 confirmed; Benchmark wins team-reported with healthy skepticism noted.