GPT Chat Latest points to OpenAI's stable API alias chat-latest that always resolves to the latest Instant chat model used in ChatGPT. As OpenAI rolls out new Instant model updates in the future, they are routed behind this slug automatically.
For more info, see: https://developers.openai.com/api/docs/models/chat-latest(opens in new tab)
Modalities
Input Price
$5per 1M
Output Price
$30per 1M
Context
400K
Weekly Tokens
892M
Released
May 5, 2026
Create an API key from your OpenRouter dashboard and set it as an environment variable:
Use openai/gpt-chat-latest with the OpenRouter API:
OpenRouter provides an OpenAI-compatible completion API to 400+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.
In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.
For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.
Add "stream": true to your request body to receive responses as server-sent events:
https://openrouter.ai/api/v1/chat/completionsBearer $OPENROUTER_API_KEYapplication/jsonoptional — your site URL, for rankingsoptional — your site name, for rankingsopenai/gpt-chat-latest| Name | Type | Default | Description |
|---|---|---|---|
seed | integer | — | If specified, the inferencing will sample deterministically, such that repeated requests with the same seed and parameters should return the same result. |
max_tokens | integer | — | This sets the upper limit for the number of tokens the model can generate in response. |
response_format | map | — | Forces the model to produce specific output format. |
structured_outputs | boolean | — | If the model can return structured outputs using response_format json_schema. |
stop | array | — | Stop generation immediately if the model encounter any token specified in the stop array. |
frequency_penalty | float | 0 | This setting aims to control the repetition of tokens based on how often they appear in the input. |
presence_penalty | float | 0 | Adjusts how often the model repeats specific tokens already used in the input. |
logit_bias | map | — | Accepts a JSON object that maps tokens (specified by their token ID in the tokenizer) to an associated bias value from -100 to 100. |
logprobs | boolean | — | Whether to return log probabilities of the output tokens or not. |
top_logprobs | integer | — | An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. |
tools | array | — | Tool calling parameter, following OpenAI's tool calling request shape. |
tool_choice | string or object | — | Controls which (if any) tool is called by the model. |