Question 1

What is the cost of Qwen3.5 122B-A10B by Cortecs?

Accepted Answer

Qwen3.5 122B-A10B by Cortecs costs $0.49 per 1M input tokens and $3.46 per 1M output tokens. Cached reads cost $0.12 per 1M tokens.

Question 2

What is the context window of Qwen3.5 122B-A10B by Cortecs?

Accepted Answer

Qwen3.5 122B-A10B by Cortecs 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 Qwen3.5 122B-A10B by Cortecs?

Accepted Answer

Qwen3.5 122B-A10B by Cortecs supports advanced reasoning, tool calling/function calling, adjustable temperature. It has open weights.

Question 4

What input and output types does Qwen3.5 122B-A10B support?

Accepted Answer

Qwen3.5 122B-A10B by Cortecs accepts text as input and can generate text as output.

Question 5

Does Qwen3.5 122B-A10B by Cortecs support reasoning?

Accepted Answer

Yes, Qwen3.5 122B-A10B by Cortecs supports advanced reasoning capabilities.

Question 6

Is Qwen3.5 122B-A10B by Cortecs open source?

Accepted Answer

Yes, Qwen3.5 122B-A10B by Cortecs has open weights, meaning the model weights are publicly available for download and self-hosting.

Question 7

Does Qwen3.5 122B-A10B support function calling?

Accepted Answer

Yes, Qwen3.5 122B-A10B by Cortecs 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 Qwen3.5 122B-A10B?

Accepted Answer

Qwen3.5 122B-A10B by Cortecs has a knowledge cutoff date of 2026-01. This means the model was trained on data available up until that date.

Qwen3.5 122B-A10B API

Input Modalities

Output Modalities

Standard (per 1M tokens)

Caching (per 1M tokens)

Qwen3.5 122B-A10B API

Input Modalities

Output Modalities

Standard (per 1M tokens)

Caching (per 1M tokens)