Qwen3-VL-235B-A22B-Instruct
Qwen3-VL-235B-A22B-Instruct is an AI model published by 阿里巴巴, released on 2025-09-23, for Multimodal model, with 235B parameters, and 256K context length, requiring about 470GB storage, under the Apache 2.0 license, with a 5.20 score on IMO-ProofBench.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
Benchmark Results
Qwen3-VL-235B-A22B-Instruct currently shows benchmark results led by IMO-ProofBench (14 / 16, score 5.20). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Compare with other models
No curated comparisons for this model yet.
Want a custom combination? Open the compare tool
Publisher
Model Overview
Qwen3-VL-235B-A22B-Instruct is an AI model published by 阿里巴巴, released on 2025-09-23, for Multimodal model, with 235B parameters, and 256K context length, requiring about 470GB storage, under the Apache 2.0 license, with a 5.20 score on IMO-ProofBench.
DataLearner on WeChat
Follow DataLearner on WeChat for AI model updates and research notes.
