How do you start calling gpt-4-1106-preview?

Use the model ID gpt-4-1106-preview through the OpenAI-compatible chat completions endpoint. This is a preview snapshot.

How should you set the output budget for gpt-4-1106-preview?

For gpt-4-1106-preview, set the max_tokens or max_completion_tokens parameter to control spending per call. Start with a budget aligned to your typical response length and increase only when longer outputs are genuinely needed. Monitor token usage in the API response headers to tune your budget over time.

What should you evaluate before moving production traffic to gpt-4-1106-preview?

This is a November 2023 preview snapshot. Consider newer versions for production use. Test your tasks to confirm compatibility.

When was gpt-4-1106-preview released, and is it still maintained?

GPT-4 Turbo was released on 2023-11-06. Its catalog status is stable. Check the model page for deprecation notices before you build a long-lived integration on it.

Does gpt-4-1106-preview support tool calling and structured output?

Yes. It supports JSON mode and function calling. Test with your specific tool definitions.

Does gpt-4-1106-preview have a free tier?

GPT-4 Turbo 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.

What is the max output length for gpt-4-1106-preview?

gpt-4-1106-preview supports up to 8192 output tokens per request. Plan your prompts to stay within this limit, and use the max_tokens or max_completion_tokens parameter to control output length.

Model detail

GPT-4 Turbo 1106

Provided by OpenAI

Pay-as-you-go

The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to April 2023.

Model specs

Model ID: gpt-4-1106-preview

Context length: 128K
Max output: –
I/O modalities
Released: 2023-11

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 Turbo preview with vision and JSON mode

Use gpt-4-1106-preview for tasks requiring vision capabilities, JSON mode, and function calling. Training data up to April 2023. This is a preview snapshot.

What should you check before using it?

This is a preview snapshot—consider newer versions

This is a November 2023 preview. Newer GPT-4 Turbo versions and GPT-4o offer improved capabilities. Verify this version meets your needs. Knowledge cutoff: 2023-04.

Why use it through MixRoute?

Swap the base URL, keep the GPT-4 Turbo client

MixRoute serves GPT-4 Turbo on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID gpt-4-1106-preview and re-run your integration tests.

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Tool calling

GPT-4 Turbo supports function and tool calls.

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

Structured output

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

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

Streaming

GPT-4 Turbo supports streamed responses.

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

OpenAI SDK

Call GPT-4 Turbo 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

Requests / month

Cache hit rate –

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

FAQ

gpt-4-1106-preview supports prompt caching, which can significantly reduce costs for repeated prompts with shared prefixes. The cache read price is substantially lower than the standard input price. Check the current pricing page for the exact cache hit discount ratio for gpt-4-1106-preview.

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-4-1106-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