# Meta-Llama-3.1-70B-Instruct retired 2026-06-13

> Source: <https://llmstatus.ai/m/microsoft/microsoft/meta-llama-3.1-70b-instruct>
> Published: 2026-08-19 17:18:25+00:00

MF✕ Retired

# Meta-Llama-3.1-70B-Instruct

Microsoft · meta-llama-3.1-70b-instruct

Retired on Azure AI Foundry (azure-hosted deployment). Same Azure serverless retirement wave as Meta-Llama-3.1-405B/8B-Instruct (doc: Retired 2026-06-13). Delisted from models.dev's azure catalog 2026-08.

[Provider statement →](https://raw.githubusercontent.com/MicrosoftDocs/azure-ai-docs/main/articles/ai-foundry/openai/includes/retirement/models.md)Released2024-07-23

Retires2026-06-132mo ago

llamatext128k context33k max out

also matches:

`meta-llama-3.1-70b-instruct`

`microsoft/meta-llama-3.1-70b-instruct`

[provider announcement →](https://raw.githubusercontent.com/MicrosoftDocs/azure-ai-docs/main/articles/ai-foundry/openai/includes/retirement/models.md)

Does your code call Meta-Llama-3.1-70B-Instruct?

$ curl -fsSL https://llmstatus.ai/install.sh | bash

Then `mm status`

in any repo — it finds every model you use and flags the ones on a clock. No account, nothing uploaded.

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