Question 1

What is the cost of Qwen2.5-VL 7B Instruct (free) by OpenRouter?

Accepted Answer

Qwen2.5-VL 7B 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 7B Instruct (free) by OpenRouter?

Accepted Answer

Qwen2.5-VL 7B Instruct (free) by OpenRouter has a context window of 33K tokens. It supports up to 33K input tokens and can generate up to 33K output tokens.

Question 3

What are the capabilities of Qwen2.5-VL 7B Instruct (free) by OpenRouter?

Accepted Answer

Qwen2.5-VL 7B Instruct (free) by OpenRouter supports tool calling/function calling, adjustable temperature, file attachments. It has open weights.

Question 4

What input and output types does Qwen2.5-VL 7B Instruct (free) support?

Accepted Answer

Qwen2.5-VL 7B Instruct (free) by OpenRouter accepts text, image as input and can generate text as output.

Question 5

Is Qwen2.5-VL 7B Instruct (free) by OpenRouter open source?

Accepted Answer

Yes, Qwen2.5-VL 7B 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 7B Instruct (free) support function calling?

Accepted Answer

Yes, Qwen2.5-VL 7B 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 7B Instruct (free)?

Accepted Answer

Qwen2.5-VL 7B Instruct (free) by OpenRouter has a knowledge cutoff date of 2025-02. This means the model was trained on data available up until that date.

Qwen2.5-VL 7B Instruct (free) API

Input Modalities

Output Modalities

Standard (per 1M tokens)