Models

The following models will no longer be supported after version 6.2.0 (mid-May):

• Tabnine-protected

• Gemma 3 or lower

• Qwen 2.5 or lower

Accounts that use these models wont be able to upgrade to this version

Tabnine provides various AI models for Tabnine Chat. Tabnine Enterprise admins 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.

Note

Tabnine's code completions only use the Tabnine Universal code completions model, which is both private and protected.

Private Model Endpoints Supported by Tabnine

Note

The list of supported models is updated frequently as new models become available.

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

	Model	Bedrock	GCP Vertex AI	Azure	OpenAI	OpenAI-Compatible
	Claude 4.8 Opus	✓	✓
	Claude 4.7 Opus	✓	✓
	Claude 4.6 Sonnet	✓	✓
	Claude 4.6 Opus	✓	✓
	Claude 4.5 Sonnet	✓	✓
	Claude 4.5 Opus	✓	✓
	Claude 4.5 Haiku	✓	✓
	Claude 4 Sonnet	✓	✓
	Gemini 3.5 Flash		✓
	Gemini 3.1 Pro		✓
	Gemini 3.0 Pro		✓
	Gemini 2.5 Flash		✓
	Gemini 2.5 Pro		✓
	GPT-5.5			✓	✓
	GPT-5.4			✓	✓
	GPT-5.3 Codex			✓	✓
	GPT-5.2 Codex			✓	✓
	GPT-5.2			✓	✓
	GPT-5			✓	✓
	GPT-4o			✓	✓
	Devstral-Small-2-24B-Instruct-2512					✓
	Devstral-2-123B-Instruct-2512**					✓
	MiniMax 2.7					✓
	Qwen-3-Coder-480B-A35B-Instruct					✓
	Qwen-3-30B (Chat only)					✓

*This list changes frequently **Devstral 2 (123B parameters) is operating under a modified MIT license. If your organization's global consolidated monthly revenue is exceeding $20 million, utilizing this model requires Devstral's permission.

Integration Requirements for Models

Amazon Bedrock: Region, Access Key ID, Secret Access Key | Learn more

Azure: Azure endpoint, Key, Deployment ID | Learn more

OpenAI: Key, OpenAI endpoint | Learn more

OpenAI-Compatible: Llama endpoint, OpenAICompatible Model name

Google Vertex AI: Region, Project ID, Service Account | Learn more

Viewing and setting up the available models

If this functionality isn't visible, we recommend contacting your dedicated account manager at Tabnine. They'll assist you in setting the available AI models for your team.

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.

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