Question 1

What is the cost of Qwen3-Coder 30B-A3B Instruct by TensorX?

Accepted Answer

Qwen3-Coder 30B-A3B Instruct by TensorX costs $0.06 per 1M input tokens and $0.25 per 1M output tokens. Cached reads cost $0.01 per 1M tokens. Cache writes cost $0.07 per 1M tokens.

Question 2

What is the context window of Qwen3-Coder 30B-A3B Instruct by TensorX?

Accepted Answer

Qwen3-Coder 30B-A3B Instruct by TensorX 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-Coder 30B-A3B Instruct by TensorX?

Accepted Answer

Qwen3-Coder 30B-A3B Instruct by TensorX supports tool calling/function calling, adjustable temperature. It has open weights.

Question 4

What input and output types does Qwen3-Coder 30B-A3B Instruct support?

Accepted Answer

Qwen3-Coder 30B-A3B Instruct by TensorX accepts text as input and can generate text as output.

Question 5

Is Qwen3-Coder 30B-A3B Instruct by TensorX open source?

Accepted Answer

Yes, Qwen3-Coder 30B-A3B Instruct by TensorX has open weights, meaning the model weights are publicly available for download and self-hosting.

Question 6

Does Qwen3-Coder 30B-A3B Instruct support function calling?

Accepted Answer

Yes, Qwen3-Coder 30B-A3B Instruct by TensorX 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-Coder 30B-A3B Instruct?

Accepted Answer

Qwen3-Coder 30B-A3B Instruct by TensorX has a knowledge cutoff date of 2025-04. This means the model was trained on data available up until that date.

Qwen3-Coder 30B-A3B Instruct API

Input Modalities

Output Modalities

Standard (per 1M tokens)

Caching (per 1M tokens)