How do you start calling GPT-4.1 Mini?

Use the model ID gpt-4.1-mini through the OpenAI-compatible chat completions endpoint. Check the current API documentation for the exact endpoint path and any required headers.

How should you set the output budget for gpt-4.1-mini?

For gpt-4.1-mini, 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.

How much does prompt caching save on gpt-4.1-mini?

gpt-4.1-mini 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-4.1-mini.

What is the max output length for gpt-4.1-mini?

gpt-4.1-mini supports up to 32768 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.

Does gpt-4.1-mini have a free tier?

GPT-4.1 Mini is billed per use and the record publishes no free-tier allowance. The current published rates are input $0.4000 per 1M tokens and output $0.8000 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.

How do you get a cache hit on gpt-4.1-mini?

To get a cache hit on gpt-4.1-mini, send requests with identical prompt prefixes. The cache is keyed by the beginning of your prompt; as long as the prefix matches a previous request, subsequent calls benefit from the lower cached rate. Keep system messages and initial context consistent across calls for best results.

What is the rate limit for gpt-4.1-mini?

gpt-4.1-mini 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.

Model detail

GPT-4.1 Mini

Provided by OpenAI

Pay-as-you-go

GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard instruction evals, 35.8% on MultiChallenge, and 84.1% on IFEval. Mini also shows strong coding ability (e.g., 31.6% on Aider’s polyglot diff benchmark) and vision understanding, making it suitable for interactive applications with tight performance constraints.

Model specs

Model ID: gpt-4.1-mini

Context length: 1.047576M
Max output: 32.768K
I/O modalities
Released: 2025-04

API endpoints

One MixRoute gateway, OpenAI-compatible

OpenAI-compatible /v1/chat/completions POST

Pricing

Flat rate, unit: /1M Tokens

Input

$0.4000 /1M Tokens

Completion

$0.8000 /1M Tokens

Cache read

$0.1000 /1M Tokens

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

Cost-efficient long-context tasks with strong instruction following

Use GPT-4.1 Mini for interactive applications that need the 1M token context window at lower cost. It delivers competitive coding and instruction-following performance with substantially lower latency than GPT-4.1.

What should you check before using it?

Confirm performance meets your task requirements

Test your specific coding and instruction-following tasks. GPT-4.1 Mini trades some capability for speed and cost—verify it meets your accuracy thresholds before committing to production. Knowledge cutoff: 2024-06-01.

Why use it through MixRoute?

Swap the base URL, keep the GPT-4.1 Mini client

MixRoute serves GPT-4.1 Mini on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID gpt-4.1-mini and re-run your integration tests.

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Tool calling

GPT-4.1 Mini supports function and tool calls.

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

Structured output

GPT-4.1 Mini can produce JSON-formatted output on demand.

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

Streaming

GPT-4.1 Mini supports streamed responses.

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

Prompt caching

GPT-4.1 Mini 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

GPT-4.1 Mini can process image inputs alongside text.

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

OpenAI SDK

Call GPT-4.1 Mini 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 1.047576M

Output tokens Max per request 32.768K

Requests / month

Cache hit rate 0%

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

FAQ

GPT-4.1 Mini is a mid-sized model in the GPT-4.1 series, delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and shows strong coding and instruction-following ability.

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-4.1-mini

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