Does gpt-4.1-nano have a free tier?

GPT-4.1 nano is billed per use and the record publishes no free-tier allowance. The current published rates are input $0.1000 per 1M tokens and output $0.2000 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-4.1-nano?

gpt-4.1-nano 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.

What should you evaluate before moving production traffic to GPT-4.1 nano?

Test your classification and autocompletion tasks at scale. Confirm that the accuracy meets your requirements given the model’s focus on speed and cost over deep reasoning.

How does gpt-4.1-nano compare with other models, and what should you compare?

Compare gpt-4.1-nano 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.

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

For gpt-4.1-nano, 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 is the rate limit for gpt-4.1-nano?

gpt-4.1-nano 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 much does prompt caching save on gpt-4.1-nano?

gpt-4.1-nano 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-nano.

Model detail

GPT-4.1 nano

Provided by OpenAI

Pay-as-you-go

For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million token context window, and scores 80.1% on MMLU, 50.3% on GPQA, and 9.8% on Aider polyglot coding – even higher than GPT‑4o mini. It’s ideal for tasks like classification or autocompletion.

Model specs

Model ID: gpt-4.1-nano

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

$0.1000 /1M Tokens

Completion

$0.2000 /1M Tokens

Cache read

$0.0250 /1M Tokens

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

Ultra-fast classification and autocompletion at scale

Use GPT-4.1 nano for high-volume tasks like classification, autocompletion, and data extraction. It delivers the 1M token context window at the lowest cost and latency in the GPT-4.1 series.

What should you check before using it?

Confirm accuracy for your task class

GPT-4.1 nano prioritizes speed and cost over deep reasoning. Test your classification and autocompletion tasks to confirm the accuracy meets your requirements before production deployment. Knowledge cutoff: 2024-06-01.

Why use it through MixRoute?

GPT-4.1 nano keeps its 1,047,576-token context on one route

The full 1,047,576-token context stays reachable on the same route. MixRoute serves GPT-4.1 nano 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-nano and re-run your integration tests.

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Tool calling

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

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

Streaming

GPT-4.1 nano supports streamed responses.

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

Prompt caching

GPT-4.1 nano 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 nano 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 nano 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 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance for its size with a 1 million token context window, making it ideal for classification, autocompletion, and other high-throughput tasks.

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-nano

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