Question 1

What is the cost of Qwen2.5 VL 32B Instruct (free) by OpenRouter?

Accepted Answer

Qwen2.5 VL 32B Instruct (free) by OpenRouter costs Free per 1M input tokens and Free per 1M output tokens.

Question 2

What is the context window of Qwen2.5 VL 32B Instruct (free) by OpenRouter?

Accepted Answer

Qwen2.5 VL 32B Instruct (free) by OpenRouter has a context window of 8K tokens. It supports up to 8K input tokens and can generate up to 8K output tokens.

Question 3

What are the capabilities of Qwen2.5 VL 32B Instruct (free) by OpenRouter?

Accepted Answer

Qwen2.5 VL 32B Instruct (free) by OpenRouter supports tool calling/function calling, structured output, adjustable temperature, file attachments. It has open weights.

Question 4

What input and output types does Qwen2.5 VL 32B Instruct (free) support?

Accepted Answer

Qwen2.5 VL 32B Instruct (free) by OpenRouter accepts text, image, video as input and can generate text as output.

Question 5

Is Qwen2.5 VL 32B Instruct (free) by OpenRouter open source?

Accepted Answer

Yes, Qwen2.5 VL 32B Instruct (free) by OpenRouter has open weights, meaning the model weights are publicly available for download and self-hosting.

Question 6

Does Qwen2.5 VL 32B Instruct (free) support function calling?

Accepted Answer

Yes, Qwen2.5 VL 32B Instruct (free) by OpenRouter supports tool calling (also known as function calling), allowing it to interact with external tools and APIs during conversations.

Question 7

What is the knowledge cutoff date for Qwen2.5 VL 32B Instruct (free)?

Accepted Answer

Qwen2.5 VL 32B Instruct (free) by OpenRouter has a knowledge cutoff date of 2025-03. This means the model was trained on data available up until that date.

Qwen2.5 VL 32B Instruct (free) API

Input Modalities

Output Modalities

Standard (per 1M tokens)