Models

Tabnine provides various AI models for Tabnine Chat. Tabnine Enterprise admins, in private installations, can connect Tabnine to their internal endpoints to enrich the Tabnine Chat experience for users. This allows administrators to integrate their company's private LLM instances, making them accessible to the engineering team directly within Tabnine.

Private Model endpoints supported by Tabnine

Currently, Tabnine supports the following model providers for private endpoint connections:

Amazon Bedrock

Models:

• Claude 4 Sonnet, Claude 3.7 Sonnet, Claude 3.5 Sonnet

Integration requirements: Region, Access Key ID, Secret Access Key

Learn more

Azure

Models:

• GPT-4.1, GPT-4o

Integration requirements: Azure endpoint, Key, Deployment ID

Learn more

OpenAI

Models:

• GPT-4.1, GPT-4o

Integration requirements: Key, OpenAI endpoint

Learn more

OpenAI-Compatible

Models:

• Gemma-3-27b-it

• Qwen2.5-32B-Instruct

• Llama 3.1 70B, Llama 3.1 405B

• Mistral 7B

Integration requirements: Llama endpoint, OpenAICompatible Model name

Google Vertex AI

Models:

• Claude 4 Sonnet, Claude 3.7 Sonnet, Claude 3.5 Sonnet

• Gemini 2.0 Flash, Gemini 2.5 Flash, Gemini 2.5 Pro

• Gemma 3 27b-it

Integration requirements: Region, Project ID, Service Account

Learn more

Viewing and setting up the available chat models

Admins manage the available chat models for their accounts and set up private endpoints for chat models:

1. Sign in to the Tabnine console as an admin.

2. Go to the Models page under Settings:

1. Toggle a model on and enter the relevant provider settings for your private endpoint.

Setting the default chat model

Admins can set a model as the account's default chat model. The account default model is the default chat model for the account users. However, users can still switch to any other available model.

Change the account default model by expanding a specific model and toggling Set as default.