Qwen2.5-VL-32B-Instruct

Qwen2.5-VL-32B-Instruct

Qwen/Qwen2.5-VL-32B-Instruct

About Qwen2.5-VL-32B-Instruct

Qwen2.5-VL-32B-Instruct is a multimodal large language model released by the Qwen team, part of the Qwen2.5-VL series. This model is not only proficient in recognizing common objects but is highly capable of analyzing texts, charts, icons, graphics, and layouts within images. It acts as a visual agent that can reason and dynamically direct tools, capable of computer and phone use. Additionally, the model can accurately localize objects in images, and generate structured outputs for data like invoices and tables. Compared to its predecessor Qwen2-VL, this version has enhanced mathematical and problem-solving abilities through reinforcement learning, with response styles adjusted to better align with human preferences

Available Serverless

Run queries immediately, pay only for usage

$

0.27

/

$

0.27

Per 1M Tokens (input/output)

Metadata

Create on

Mar 24, 2025

License

apache-2.0

Provider

Qwen

Specification

State

Available

Architecture

Calibrated

Yes

Mixture of Experts

No

Total Parameters

32

Activated Parameters

32 billion

Reasoning

No

Precision

FP8

Context length

131K

Max Tokens

131K

Supported Functionality

Serverless

Supported

Serverless LoRA

Not supported

Fine-tuning

Not supported

Embeddings

Not supported

Rerankers

Not supported

Support image input

Supported

JSON Mode

Not supported

Structured Outputs

Not supported

Tools

Not supported

Fim Completion

Not supported

Chat Prefix Completion

Supported

Model FAQs: Usage, Deployment

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