Question 1

What is the cost of Qwen3 235B A22B Instruct 2507 by Friendli?

Accepted Answer

Qwen3 235B A22B Instruct 2507 by Friendli costs $0.20 per 1M input tokens and $0.80 per 1M output tokens.

Question 2

What is the context window of Qwen3 235B A22B Instruct 2507 by Friendli?

Accepted Answer

Qwen3 235B A22B Instruct 2507 by Friendli has a context window of 262K tokens. It supports up to 262K input tokens and can generate up to 262K output tokens.

Question 3

What are the capabilities of Qwen3 235B A22B Instruct 2507 by Friendli?

Accepted Answer

Qwen3 235B A22B Instruct 2507 by Friendli supports advanced reasoning, tool calling/function calling, structured output, adjustable temperature. It has open weights.

Question 4

What input and output types does Qwen3 235B A22B Instruct 2507 support?

Accepted Answer

Qwen3 235B A22B Instruct 2507 by Friendli accepts text as input and can generate text as output.

Question 5

Does Qwen3 235B A22B Instruct 2507 by Friendli support reasoning?

Accepted Answer

Yes, Qwen3 235B A22B Instruct 2507 by Friendli supports advanced reasoning capabilities.

Question 6

Is Qwen3 235B A22B Instruct 2507 by Friendli open source?

Accepted Answer

Yes, Qwen3 235B A22B Instruct 2507 by Friendli has open weights, meaning the model weights are publicly available for download and self-hosting.

Question 7

Does Qwen3 235B A22B Instruct 2507 support function calling?

Accepted Answer

Yes, Qwen3 235B A22B Instruct 2507 by Friendli supports tool calling (also known as function calling), allowing it to interact with external tools and APIs during conversations.

Question 8

What is the knowledge cutoff date for Qwen3 235B A22B Instruct 2507?

Accepted Answer

Qwen3 235B A22B Instruct 2507 by Friendli has a knowledge cutoff date of 2025-04. This means the model was trained on data available up until that date.

Qwen3 235B A22B Instruct 2507 API

Input Modalities

Output Modalities

Standard (per 1M tokens)