How do you get a cache hit on GPT-4 Turbo Preview?

The current GPT-4 Turbo Preview listing publishes no cache-read rate, so cached-prefix billing is not part of its pricing. Treat repeated prefixes as fresh input when you size the workload, and confirm with the provider before designing for a cache saving.

When was GPT-4 Turbo Preview released, and is it still maintained?

GPT-4 Turbo Preview was released on 2024-01-25. Its catalog status is stable. Check the model page for deprecation notices before you build a long-lived integration on it.

What should you evaluate before moving production traffic to GPT-4 Turbo Preview?

Before switching production traffic to GPT-4 Turbo Preview, 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.

What is the rate limit for GPT-4 Turbo Preview?

The current model record does not publish a numeric rate limit for GPT-4 Turbo Preview. Confirm the quota for your plan in the console, then run a short load test at your expected concurrency to establish the effective ceiling before production.

How does GPT-4 Turbo Preview compare with gpt-4-1106-preview, and what should you compare?

GPT-4 Turbo Preview sits alongside gpt-4-1106-preview , kimi-k2.5 , gemini-3.5-flash-lite in the catalog. Compare them on the dimensions that change your bill and your users’ experience: task quality on your own prompts, latency at your concurrency, context and output limits, and cost per completed task rather than per token.

Model detail

GPT-4 Turbo Preview

Provided by OpenAI

Pay-as-you-go

OpenAI's flagship model GPT-4 is a large-scale multimodal language model that solves difficult problems with greater accuracy than previous models.

Model specs

Model ID: gpt-4-0125-preview

Context length: 128K
Max output: 4.096K
I/O modalities
Released: 2024-01

API endpoints

One MixRoute gateway, OpenAI-compatible

OpenAI-compatible /v1/chat/completions POST

Pricing

Flat rate, unit: /1M Tokens

Input

$10.0000 /1M Tokens

Completion

$20.0000 /1M Tokens

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

GPT-4 is OpenAI's flagship large language model

GPT-4 is OpenAI's flagship large language model, solving difficult problems with higher accuracy than previous models.

What should you check before using it?

128,000 context, 4,096 output tokens

OpenAI model that supports structured output. Knowledge cutoff: 2023-12-01. Released 2024-01-25.

Why use it through MixRoute?

GPT-4 Turbo Preview runs tools and structured output here

Tool calling and structured output run on that route as well. MixRoute serves GPT-4 Turbo Preview on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID gpt-4-0125-preview and re-run your integration tests.

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Structured output

GPT-4 Turbo Preview can produce JSON-formatted output on demand.

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

Streaming

GPT-4 Turbo Preview supports streamed responses.

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

OpenAI SDK

Call GPT-4 Turbo Preview 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 128K

Output tokens Max per request 4.096K

Requests / month

Cache hit rate –

This model has no cache-read price; caching is not counted

FAQ

GPT-4 Turbo Preview is billed per use and the record publishes no free-tier allowance. The current published rates are input $10.0000 per 1M tokens and output $20.0000 per 1M tokens. Trial credit or promotional quota is tied to your account rather than to the model, so check the console before planning around a free tier.

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-4-0125-preview

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