Model lifecycle - CoreWeave Docs

This page describes how models in the Serverless Inference catalog move through their lifecycle stages, how CoreWeave notifies you of upcoming changes, and which models are deprecated or retired. Use this information to plan migrations away from models that are scheduled for removal. CoreWeave evaluates and releases new models as part of the Serverless Inference catalog on an ongoing basis. CoreWeave reviews older models periodically and may retire them to prioritize the most in-demand and highest-quality offerings.

Model lifecycle stages

Models in Serverless Inference use the following terminology for the stages of their lifecycle:

Experimental: The model is available for initial experimentation, but isn’t bound by our standard SLA or deprecation process.
Generally available: The model is fully supported and recommended for use.
Deprecated: The model is scheduled for removal. Update to a recommended replacement as soon as possible.
Retired: The model is no longer available. Any requests to retired models fail and return an HTTP 404 status code.

Deprecation process

When CoreWeave deprecates a generally available model, we provide at least two weeks of notice on this page before the model is retired. We also attempt to notify recent users of a deprecated model through email and provide recommendations for replacement models. Models that are in the deprecated stage continue to serve requests.

Deprecated models

The following Serverless Inference models are deprecated:

Deprecation date	Retirement date	Model ID	Recommended replacement
2026-09-04	2026-10-05	`deepseek-ai/DeepSeek-V4-Flash`	`deepseek-ai/DeepSeek-V4-Flash-0731`
2026-09-04	2026-10-05	`deepseek-ai/DeepSeek-V4-Pro`	`deepseek-ai/DeepSeek-V4-Pro-0813`
2026-09-04	2026-10-05	`ibm-granite/granite-4.1-8b`	`ibm-granite/granite-4.2-8b`
2026-09-04	2026-10-05	`JetBrains/Mellum2-12B-A2.5B-Instruct`	`ibm-granite/granite-4.2-8b`
2026-09-04	2026-10-05	`meta-llama/Llama-3.1-70B-Instruct`	`meta-llama/Llama-3.3-70B-Instruct`
2026-09-04	2026-10-05	`OpenPipe/Qwen3-14B-Instruct`	`Qwen/Qwen3.8-27B`
2026-09-04	2026-10-05	`Qwen/Qwen3.6-27B`	`Qwen/Qwen3.8-27B`
2026-09-04	2026-10-05	`Qwen/Qwen3.5-35B-A3B`	`Qwen/Qwen3.6-35B-A3B`
2026-09-04	2026-10-05	`Qwen/Qwen3-30B-A3B-Instruct-2507`	`Qwen/Qwen3.6-35B-A3B`

Retired models

The following Serverless Inference models are retired:

Retirement date	Model ID	Recommended replacement
2026-08-25	`MiniMaxAI/MiniMax-M2.5`	`MiniMaxAI/MiniMax-M3`
2026-08-25	`nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-FP8`	`nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B`
2026-08-25	`Qwen/Qwen3-Coder-480B-A35B-Instruct`	`zai-org/GLM-5.2`
2026-08-25	`zai-org/GLM-5.1-FP8`	`zai-org/GLM-5.2`
2026-08-04	`microsoft/Phi-4-mini-instruct`	`JetBrains/Mellum2-12B-A2.5B-Instruct`
2026-08-04	`nvidia/Kimi-K2.5-NVFP4`	`moonshotai/Kimi-K2.6`, `moonshotai/Kimi-K2.7-Code`
2026-08-04	`Qwen/Qwen3.5-27B`	`Qwen/Qwen3.6-27B`
2026-08-04	`Qwen/Qwen3-235B-A22B-Instruct-2507`	`Qwen/Qwen3.6-27B`
2026-08-04	`Qwen/Qwen3-235B-A22B-Thinking-2507`	`Qwen/Qwen3.6-27B`
2026-05-11	`zai-org/GLM-5-FP8`	`zai-org/GLM-5.1`
2026-04-21	`meta-llama/Llama-4-Scout-17B-16E-Instruct`	`Qwen/Qwen3.5-35B-A3B`
2026-03-04	`deepseek-ai/DeepSeek-R1-0528`
2026-03-04	`deepseek-ai/DeepSeek-V3-0324`
2026-03-04	`moonshotai/Kimi-K2-Instruct`	`moonshotai/Kimi-K2.5`
2026-03-04	`moonshotai/Kimi-K2-Instruct-0905`	`moonshotai/Kimi-K2.5`
2026-03-04	`Qwen/Qwen2.5-14B-Instruct`	`OpenPipe/Qwen3-14B-Instruct`
2026-03-04	`zai-org/GLM-4.5`	`zai-org/GLM-5-FP8`

​Model lifecycle stages

​Deprecation process

​Deprecated models

​Retired models

Model lifecycle stages

Deprecation process

Deprecated models

Retired models