meta.llama-3-70b-instruct — Retired — shutdown 2024-11-12
For meta.llama-3-70b-instruct, provider is Oracle (OCI Generative AI — on-demand mode); lifecycle status is Retired; shutdown / retirement date is 2024-11-12; platform / deployment scope is OCI Generative AI on-demand mode, recorded from its source on 2026-09-16.
- Provider
- Oracle (OCI Generative AI — on-demand mode) our reading
- Model ID / API name
- meta.llama-3-70b-instruct verified
- Lifecycle status
- Retired verified
- Release date
- 2024-06-04 verified
- Shutdown / retirement date
- 2024-11-12 verified
- Platform / deployment scope
- OCI Generative AI on-demand mode our reading
- Recommended replacement
- Meta-Llama-4-Maverick per learn.microsoft.com
Values marked our reading are our classification of what the source says — the source does not print them in those words. The quote below is the evidence for each one; judge it yourself.
What the source says
meta.llama-3-70b-instruct | 2024-06-04 | 2024-11-12 |
— docs.oracle.com, retrieved 2026-09-16
Where each value comes from
This source states these in separate places, so each value is shown with the passage that states it.
Lifecycle status
Retired Models (On-Demand Mode)
Release date
Model | Release Date | On-Demand Mode Retirement Date | Suggested Replacement Options | cohere.command-r-plus-08-2024 | 2024-11-14 | 2026-07-30 | <https://docs.oracle.com/en-us/iaas/Content/generative-ai/cohere-command-a-03-2025.htm> Cohere Command A | cohere.command-r-08-2024 | 2024-11-14 | 2026-07-30 | <https://docs.oracle.com/en-us/iaas/Content/generative-ai/cohere-command-a-03-2025.htm> Cohere Command A | cohere.command-r-plus | 2024-06-18 | 2025-01-16 | <https://docs.oracle.com/en-us/iaas/Content/generative-ai/cohere-command-a-03-2025.htm> Cohere Command A | cohere.command-r-16k | 2024-06-04 | 2025-01-16 | <https://docs.oracle.com/en-us/iaas/Content/generative-ai/cohere-command-a-03-2025.htm> Cohere Command A | cohere.command | 2024-02-07 | 2024-10-02 | <https://docs.oracle.com/en-us/iaas/Content/generative-ai/cohere-command-a-03-2025.htm> Cohere Command A | cohere.command-light | 2024-02-07 | 2024-10-02 | <https://docs.oracle.com/en-us/iaas/Content/generative-ai/cohere-command-a-03-2025.htm> Cohere Command A | xai.grok-4-1-fast-reasoning | 2026-01-21 | 2026-08-15 | <https://docs.oracle.com/en-us/iaas/Content/generative-ai/xai-grok-4-3.htm> xAI Grok 4.3 | xai.grok-4-1-fast-non-reasoning | 2026-01-21 | 2026-08-15 | <https://docs.oracle.com/en-us/iaas/Content/generative-ai/xai-grok-4-3.htm> xAI Grok 4.3 | xai.grok-4-fast-reasoning | 2026-01-21 | 2026-08-15 | <https://docs.oracle.com/en-us/iaas/Content/generative-ai/xai-grok-4-3.htm> xAI Grok 4.3 | xai.grok-4-fast-non-reasoning | 2025-10-10 | 2026-08-15 | <https://docs.oracle.com/en-us/iaas/Content/generative-ai/xai-grok-4-3.htm> xAI Grok 4.3 | xai.grok-code-fast-1 | 2025-10-01 | 2026-08-15 | <https://docs.oracle.com/en-us/iaas/Content/generative-ai/xai-grok-4-3.htm> xAI Grok 4.3 | xai.grok-4 | 2025-07-23 | 2026-08-15 | <https://docs.oracle.com/en-us/iaas/Content/generative-ai/xai-grok-4-3.htm> xAI Grok 4.3 | xai.grok-3 | 2025-06-25 | 2026-08-15 | <https://docs.oracle.com/en-us/iaas/Content/generative-ai/xai-grok-4-3.htm> xAI Grok 4.3 | xai.grok-3-mini | 2025-06-25 | 2026-08-15 | <https://docs.oracle.com/en-us/iaas/Content/generative-ai/xai-grok-4-3.htm> xAI Grok 4.3 | xai.grok-3-fast | 2025-06-25 | 2026-08-15 | <https://docs.oracle.com/en-us/iaas/Content/generative-ai/xai-grok-4-3.htm> xAI Grok 4.3 | xai.grok-3-mini-fast | 2025-06-25 | 2026-08-15 | <https://docs.oracle.com/en-us/iaas/Content/generative-ai/xai-grok-4-3.htm> xAI Grok 4.3 | meta.llama-3.2-90b-vision-instruct | 2024-11-14 | 2026-08-03 | <https://docs.oracle.com/en-us/iaas/Content/generative-ai/meta-llama-4-maverick.htm> Meta Llama 4 Maverick <https://docs.oracle.com/en-us/iaas/Content/generative-ai/meta-llama-4-scout.htm> Meta Llama 4 Scout | meta.llama-3.1-405b-instruct | 2024-09-19 | 2026-08-03 | <https://docs.oracle.com/en-us/iaas/Content/generative-ai/meta-llama-4-maverick.htm> Meta Llama 4 Maverick <https://docs.oracle.com/en-us/iaas/Content/generative-ai/meta-llama-4-scout.htm> Meta Llama 4 Scout | meta.llama-3.1-70b-instruct | 2024-09-19 | 2025-07-10 | <https://docs.oracle.com/en-us/iaas/Content/generative-ai/meta-llama-4-maverick.htm> Meta Llama 4 Maverick <https://docs.oracle.com/en-us/iaas/Content/generative-ai/meta-llama-4-scout.htm> Meta Llama 4 Scout | meta.llama-3-70b-instruct | 2024-06-04 | 2024-11-12 | <https://docs.oracle.com/en-us/iaas/Content/generative-ai/meta-llama-4-maverick.htm> Meta Llama 4 Maverick <https://docs.oracle.com/en-us/iaas/Content/generative-ai/meta-llama-4-scout.htm> Meta Llama 4 Scout |
— all from docs.oracle.com, retrieved 2026-09-16
Sources disagree
More than one authority states this, and they do not state the same thing. Both are reproduced with the source each came from — deciding between them is yours, not ours.
Provider
docs.oracle.com says provider is Oracle (OCI Generative AI — on-demand mode), as of 2026-09-16.
meta.llama-3-70b-instruct | 2024-06-04 | 2024-11-12 |
https://docs.oracle.com/en-us/iaas/Content/generative-ai/deprecating-on-demand.htm
docs.oracle.com says provider is Oracle (OCI Generative AI — dedicated mode), as of 2026-09-16.
meta.llama-3-70b-instruct | 2024-06-04 | 2025-08-07 |
https://docs.oracle.com/en-us/iaas/Content/generative-ai/deprecating-dedicated.htm
learn.microsoft.com says provider is Databricks, as of 2026-09-15.
Meta Llama 3 (70B) | Pay-per-token: July 23, 2024 (Meta-Llama-3-70B-Instruct); December 11, 2024 (Meta-Llama-3.1-70B-Instruct) 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. |
https://learn.microsoft.com/en-us/azure/databricks/machine-learning/retired-models-policy
Shutdown / retirement date
docs.oracle.com says shutdown / retirement date is 2024-11-12, as of 2026-09-16.
meta.llama-3-70b-instruct | 2024-06-04 | 2024-11-12 |
https://docs.oracle.com/en-us/iaas/Content/generative-ai/deprecating-on-demand.htm
docs.oracle.com says shutdown / retirement date is 2025-08-07, as of 2026-09-16.
meta.llama-3-70b-instruct | 2024-06-04 | 2025-08-07 |
https://docs.oracle.com/en-us/iaas/Content/generative-ai/deprecating-dedicated.htm
learn.microsoft.com says shutdown / retirement date is July 23, 2024, as of 2026-09-15.
Meta Llama 3 (70B) | Pay-per-token: July 23, 2024 (Meta-Llama-3-70B-Instruct); December 11, 2024 (Meta-Llama-3.1-70B-Instruct) 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. |
https://learn.microsoft.com/en-us/azure/databricks/machine-learning/retired-models-policy
Platform / deployment scope
docs.oracle.com says platform / deployment scope is OCI Generative AI on-demand mode, as of 2026-09-16.
meta.llama-3-70b-instruct | 2024-06-04 | 2024-11-12 |
https://docs.oracle.com/en-us/iaas/Content/generative-ai/deprecating-on-demand.htm
docs.oracle.com says platform / deployment scope is OCI Generative AI dedicated mode, as of 2026-09-16.
meta.llama-3-70b-instruct | 2024-06-04 | 2025-08-07 |
https://docs.oracle.com/en-us/iaas/Content/generative-ai/deprecating-dedicated.htm
learn.microsoft.com says platform / deployment scope is Databricks Foundation Model APIs — pay-per-token, as of 2026-09-15.
Meta Llama 3 (70B) | Pay-per-token: July 23, 2024 (Meta-Llama-3-70B-Instruct); December 11, 2024 (Meta-Llama-3.1-70B-Instruct) 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. |
https://learn.microsoft.com/en-us/azure/databricks/machine-learning/retired-models-policy
Sources
- docs.oracle.comhttps://docs.oracle.com/en-us/iaas/Content/generative-ai/deprecating-on-demand.htm
- docs.oracle.comhttps://docs.oracle.com/en-us/iaas/Content/generative-ai/deprecating-dedicated.htm
- learn.microsoft.comhttps://learn.microsoft.com/en-us/azure/databricks/machine-learning/retired-models-policy