How should you set the output budget for Chat Latest?

Set max_tokens on Chat Latest to the longest response your task actually needs, not the 128,000-token ceiling. Keeping the cap tight reduces worst-case spend and shortens tail latency. Raise it only for tasks that demonstrably need longer output.

How do you get a cache hit on Chat Latest?

A cache hit on Chat Latest requires an identical prompt prefix across requests. Put your stable instructions and reference material at the start of the prompt, keep them byte-identical, and let the changing part follow. Cached reads are then billed at the cache rate rather than the input rate.

What should you evaluate before moving production traffic to Chat Latest?

Before switching production traffic to Chat Latest, run a pilot on a representative slice of your traffic and check output quality, latency at peak concurrency, and cost per request. Verify the error and retry behaviour, and confirm the request limits you depend on match your plan.

Can you call Chat Latest with the OpenAI SDK you already use?

Yes. Chat Latest is reachable through an OpenAI-compatible endpoint, so an existing OpenAI SDK client works after pointing the base URL at MixRoute and setting the model parameter to gpt-chat-latest . Keep your current request and response handling.

When was Chat Latest released, and is it still maintained?

Chat Latest was released on 2026-05-05. Its catalog status is stable. Check the model page for deprecation notices before you build a long-lived integration on it.

Model detail

Chat Latest

Provided by OpenAI

Pay-as-you-go

GPT Chat Latest is OpenAI's newest chat-optimized model, tuned for conversational AI applications.

Model specs

Model ID: gpt-chat-latest

Context length: 400K
Max output: 128K
I/O modalities
Released: 2026-05

API endpoints

One MixRoute gateway, OpenAI-compatible

OpenAI-compatible /v1/chat/completions POST

Pricing

Flat rate, unit: /1M Tokens

Input

$5.0000 /1M Tokens

Completion

$30.0000 /1M Tokens

Cache read

$0.5000 /1M Tokens

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

GPT Chat Latest is OpenAI's latest chat-optimized model

GPT Chat Latest is OpenAI's latest chat-optimized model, tuned for conversational AI applications.

What should you check before using it?

400,000 context, 128,000 output tokens

OpenAI model that supports tool calling and structured output. Knowledge cutoff: 2025-08-31. Released 2026-05-05.

Why use it through MixRoute?

Chat Latest keeps its 400,000-token context on one route

The full 400,000-token context stays reachable on the same route. MixRoute serves Chat Latest on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID gpt-chat-latest and re-run your integration tests.

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Tool calling

Chat Latest supports function and tool calls.

EX Send a tools definition; the response returns tool_calls to execute and feed results back.

Structured output

Chat Latest can produce JSON-formatted output on demand.

EX response_format: { type: "json_schema" } forces valid JSON output.

Streaming

Chat Latest supports streamed responses.

EX stream: true streams tokens incrementally, so chat UIs render as they arrive.

Prompt caching

Chat Latest supports prompt caching under supported routing conditions.

EX Keep the system prompt and tool definitions at the start of the request; repeated prefixes are automatically billed at the cache-read rate.

Vision input

Chat Latest can process image inputs alongside text.

EX Pass a base64-encoded image in a image_url content part alongside text messages.

OpenAI SDK

Call Chat Latest through MixRoute's OpenAI-compatible endpoint.

EX Change base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.

Token cost estimator

Live estimate from this page's pricing, not an actual bill

Input tokens Max per request 400K

Output tokens Max per request 128K

Requests / month

Cache hit rate 0%

Share of the same prefix read repeatedly, up to 100%

FAQ

Prompt caching on Chat Latest bills cached input at $0.5 per 1,000,000 token instead of $5 per 1,000,000 token for standard input. The saving applies to the cached prefix only; the rest of the request is billed normally.

Get started

01

Create an API key

Generate a key in the Console; one key calls every model.
02

Set the base URL

Fully OpenAI SDK-compatible; just swap the URL to connect.

https://api.mixroute.ai/v1
03

Specify the model ID

In the request's model field, enter:

gpt-chat-latest

Create an API key

New users get $5 in free credits

Test this model and alternate routes with the same request format

Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.

Create an API key View integration docs