Question 1

What is the cost of Phi-3.5-MoE instruct (128k) by GitHub Models?

Accepted Answer

Phi-3.5-MoE instruct (128k) by GitHub Models costs Free per 1M input tokens and Free per 1M output tokens.

Question 2

What is the context window of Phi-3.5-MoE instruct (128k) by GitHub Models?

Accepted Answer

Phi-3.5-MoE instruct (128k) by GitHub Models has a context window of 128K tokens. It supports up to 128K input tokens and can generate up to 4K output tokens.

Question 3

What are the capabilities of Phi-3.5-MoE instruct (128k) by GitHub Models?

Accepted Answer

Phi-3.5-MoE instruct (128k) by GitHub Models supports advanced reasoning, tool calling/function calling, adjustable temperature. It has open weights.

Question 4

What input and output types does Phi-3.5-MoE instruct (128k) support?

Accepted Answer

Phi-3.5-MoE instruct (128k) by GitHub Models accepts text as input and can generate text as output.

Question 5

Does Phi-3.5-MoE instruct (128k) by GitHub Models support reasoning?

Accepted Answer

Yes, Phi-3.5-MoE instruct (128k) by GitHub Models supports advanced reasoning capabilities.

Question 6

Is Phi-3.5-MoE instruct (128k) by GitHub Models open source?

Accepted Answer

Yes, Phi-3.5-MoE instruct (128k) by GitHub Models has open weights, meaning the model weights are publicly available for download and self-hosting.

Question 7

Does Phi-3.5-MoE instruct (128k) support function calling?

Accepted Answer

Yes, Phi-3.5-MoE instruct (128k) by GitHub Models 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 Phi-3.5-MoE instruct (128k)?

Accepted Answer

Phi-3.5-MoE instruct (128k) by GitHub Models has a knowledge cutoff date of 2023-10. This means the model was trained on data available up until that date.

Phi-3.5-MoE instruct (128k) API

Input Modalities

Output Modalities

Standard (per 1M tokens)