An Azure OpenAI chat model that is quicker and cheaper, accepts images as well as text and offers a context window of roughly 1M tokens, smaller on certain deployment types. It can be fine-tuned with SFT or DPO.
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Terms in this definition
- Azure OpenAI
Use of OpenAI models in Azure, including GPT, o-series, embeddings, image and Whisper, through either a Foundry resource or an Azure OpenAI resource. Content Understanding isn't available from a standalone Azure OpenAI resource.
- Context window
How many tokens, counting input and output together, a model can handle in one request; GPT-4.1-mini manages roughly 1M, for instance, against 128k for the now-retired Phi-3-mini.
- Model deployment
Inside a resource, each deployment is a named copy of a Foundry model with its own TPM quota and deployment type. Requests identify the model by this deployment name.
- DPO
Direct preference optimization, a fine-tuning technique that trains on pairs of better and worse responses without needing a reward model. Records contain input, preferred_output and non_preferred_output, and the two outputs can't be identical.
Related terms
- GPT-4.1
OpenAI chat models gpt-4.1, gpt-4.1-mini and gpt-4.1-nano, which accept images and text and return text. They are deprecated in Azure: nano retires on 14 October 2026, while the full and mini models follow on 14 April 2027.