# Meta Llama 2 70B / Meta-Llama-2-70B-Chat — Provisioned throughput — Retired — shutdown February 27, 2026

For Meta Llama 2 70B / Meta-Llama-2-70B-Chat, provider is Databricks; lifecycle status is Retired; shutdown / retirement date is February 27, 2026; recommended replacement is Comparable model on the same offering, like Llama 3.2, 3.3, or 4 model of similar size; platform / deployment scope is Databricks Foundation Model APIs — provisioned throughput; serving offering or footprint is Provisioned throughput, recorded from its source on 2026-09-15.

- **Provider:** Databricks _(our reading, not quoted from the source)_
- **Model ID / API name:** Meta Llama 2 70B / Meta-Llama-2-70B-Chat _(verified: appears in the quote below)_
- **Serving offering or footprint:** Provisioned throughput _(verified: appears in its own passage below)_
- **Lifecycle status:** Retired
- **Shutdown / retirement date:** February 27, 2026 _(verified: appears in its own passage below)_
- **Recommended replacement:** Comparable model on the same offering, like Llama 3.2, 3.3, or 4 model of similar size _(verified: appears in its own passage below)_
- **Platform / deployment scope:** Databricks Foundation Model APIs — provisioned throughput _(our reading, not quoted from the source)_

## What the source says

> Meta Llama 2 70B / Meta-Llama-2-70B-Chat | Pay-per-token: October 30, 2024 Provisioned throughput: February 27, 2026 | Pay-per-token: Meta-Llama-4-Maverick Provisioned throughput: Comparable model on the same offering, like Llama 3.2, 3.3, or 4 model of similar size. |

## Where each value comes from

This source states these in separate places, so each value is shown with the passage that states it.

### Serving offering or footprint

> Provisioned throughput: February 27, 2026

### Shutdown / retirement date

> Provisioned throughput: February 27, 2026

### Recommended replacement

> Provisioned throughput: Comparable model on the same offering, like Llama 3.2, 3.3, or 4 model of similar size.

## Source

- https://learn.microsoft.com/en-us/azure/databricks/machine-learning/retired-models-policy

Last verified: 2026-09-15. Review by: 2026-10-15.
Part of [AI model deprecation and retirement dates by provider](https://referencesource.org/ai-model-deprecation-and-retirement/).