Question 1

What is the cost of Qwen3 Max by DevPass (LLM Gateway)?

Accepted Answer

Qwen3 Max by DevPass (LLM Gateway) costs $0.84 per 1M input tokens and $3.38 per 1M output tokens. Cached reads cost $0.60 per 1M tokens. Cache writes cost $3.75 per 1M tokens.

Question 2

What is the context window of Qwen3 Max by DevPass (LLM Gateway)?

Accepted Answer

Qwen3 Max by DevPass (LLM Gateway) has a context window of 262K tokens. It supports up to 262K input tokens and can generate up to 66K output tokens.

Question 3

What are the capabilities of Qwen3 Max by DevPass (LLM Gateway)?

Accepted Answer

Qwen3 Max by DevPass (LLM Gateway) supports tool calling/function calling, structured output, adjustable temperature. It has closed weights.

Question 4

What input and output types does Qwen3 Max support?

Accepted Answer

Qwen3 Max by DevPass (LLM Gateway) accepts text as input and can generate text as output.

Question 5

Is Qwen3 Max by DevPass (LLM Gateway) open source?

Accepted Answer

No, Qwen3 Max by DevPass (LLM Gateway) has closed weights. The model is only available through the DevPass (LLM Gateway) API.

Question 6

Does Qwen3 Max support function calling?

Accepted Answer

Yes, Qwen3 Max by DevPass (LLM Gateway) 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 Qwen3 Max?

Accepted Answer

Qwen3 Max by DevPass (LLM Gateway) has a knowledge cutoff date of 2025-04. This means the model was trained on data available up until that date.

Qwen3 Max API

Input Modalities

Output Modalities

Standard (per 1M tokens)

Caching (per 1M tokens)

Qwen3 Max API

Input Modalities

Output Modalities

Standard (per 1M tokens)

Caching (per 1M tokens)