How do you start calling gpt-3.5-turbo-16k?

Use the model ID gpt-3.5-turbo-16k through the OpenAI-compatible chat completions endpoint. It supports up to 16K tokens of context.

How do you get a cache hit on gpt-3.5-turbo-16k?

The current GPT-3.5 Turbo 16k 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.

How should you set the output budget for gpt-3.5-turbo-16k?

For gpt-3.5-turbo-16k, 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.

When was gpt-3.5-turbo-16k released, and is it still maintained?

GPT-3.5 Turbo 16k was released on 2023-08-28. Its catalog status is stable. Check the model page for deprecation notices before you build a long-lived integration on it.

Does gpt-3.5-turbo-16k support tool calling and structured output?

Confirm the current capabilities in the model documentation. Test with your specific tool definitions.

What is the rate limit for gpt-3.5-turbo-16k?

gpt-3.5-turbo-16k rate limits vary by your MixRoute subscription plan. Check your plan details in the console for requests per minute (RPM) and tokens per minute (TPM) limits. Run a small load test before production to confirm your effective quota.

How does gpt-3.5-turbo-16k compare with other models, and what should you compare?

Compare gpt-3.5-turbo-16k against models of similar capability and pricing on your actual workload. Evaluate latency, output quality, instruction following, and cost per task. Run side-by-side tests with your own prompts — the best model depends on your specific use case, not just benchmark scores.

Model detail

GPT-3.5 Turbo 16k

Provided by OpenAI

Pay-as-you-go

This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up to Sep 2021.

Model specs

Model ID: gpt-3.5-turbo-16k

Context length: 16.385K
Max output: 4.096K
I/O modalities
Released: 2023-08

API endpoints

One MixRoute gateway, OpenAI-compatible

OpenAI-compatible /v1/chat/completions POST

Pricing

Flat rate, unit: /1M Tokens

Input

$3.0000 /1M Tokens

Completion

$6.0000 /1M Tokens

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

GPT-3.5 Turbo with extended 16K context

Use gpt-3.5-turbo-16k for tasks requiring longer context, supporting approximately 20 pages of text in a single request. It offers four times the context length of standard GPT-3.5 Turbo.

What should you check before using it?

Consider newer models with larger context windows

Newer models offer significantly larger context windows (up to 1M tokens). Test your long-context tasks to determine if this 16K variant still meets your needs. Knowledge cutoff: 2021-09-30.

Why use it through MixRoute?

GPT-3.5 Turbo 16k runs tools and structured output here

Tool calling and structured output run on that route as well. MixRoute serves GPT-3.5 Turbo 16k on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID gpt-3.5-turbo-16k and re-run your integration tests.

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Tool calling

GPT-3.5 Turbo 16k supports function and tool calls.

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

Structured output

GPT-3.5 Turbo 16k can produce JSON-formatted output on demand.

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

Streaming

GPT-3.5 Turbo 16k supports streamed responses.

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

OpenAI SDK

Call GPT-3.5 Turbo 16k 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 16.385K

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-3.5-turbo-16k is a variant of GPT-3.5 Turbo with four times the context length, supporting approximately 20 pages of text in a single request.

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-3.5-turbo-16k

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