Question 1

What is the cost of Qwen 3 235b A22B 2507 Thinking by NanoGPT?

Accepted Answer

Qwen 3 235b A22B 2507 Thinking by NanoGPT costs $0.30 per 1M input tokens and $0.50 per 1M output tokens. Cached reads cost $0.15 per 1M tokens.

Question 2

What is the context window of Qwen 3 235b A22B 2507 Thinking by NanoGPT?

Accepted Answer

Qwen 3 235b A22B 2507 Thinking by NanoGPT has a context window of 131K tokens. It supports up to 131K input tokens and can generate up to 118K output tokens.

Question 3

What are the capabilities of Qwen 3 235b A22B 2507 Thinking by NanoGPT?

Accepted Answer

Qwen 3 235b A22B 2507 Thinking by NanoGPT supports tool calling/function calling, adjustable temperature. It has open weights.

Question 4

What input and output types does Qwen 3 235b A22B 2507 Thinking support?

Accepted Answer

Qwen 3 235b A22B 2507 Thinking by NanoGPT accepts text as input and can generate text as output.

Question 5

Is Qwen 3 235b A22B 2507 Thinking by NanoGPT open source?

Accepted Answer

Yes, Qwen 3 235b A22B 2507 Thinking by NanoGPT has open weights, meaning the model weights are publicly available for download and self-hosting.

Question 6

Does Qwen 3 235b A22B 2507 Thinking support function calling?

Accepted Answer

Yes, Qwen 3 235b A22B 2507 Thinking by NanoGPT 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 Qwen 3 235b A22B 2507 Thinking?

Accepted Answer

Qwen 3 235b A22B 2507 Thinking by NanoGPT has a knowledge cutoff date of 2024-12. This means the model was trained on data available up until that date.

Qwen 3 235b A22B 2507 Thinking API

Input Modalities

Output Modalities

Standard (per 1M tokens)

Caching (per 1M tokens)