How do you start calling gpt-4.1-2025-04-14?

Use the model ID gpt-4.1-2025-04-14 through the OpenAI-compatible chat completions endpoint. Check the current API documentation for the exact endpoint path and any required headers.

How do you get a cache hit on gpt-4.1-2025-04-14?

To get a cache hit on gpt-4.1-2025-04-14, 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.

Does gpt-4.1-2025-04-14 support tool calling and structured output?

Confirm the current capabilities in the model documentation. gpt-4.1-2025-04-14 is tuned for agent reliability and instruction following. Test with your specific tool definitions and JSON schemas before production use.

How should you set the output budget for gpt-4.1-2025-04-14?

For gpt-4.1-2025-04-14, 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 does gpt-4.1-2025-04-14 compare with other models, and what should you compare?

Compare gpt-4.1-2025-04-14 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-4.1 20250414

Provided by OpenAI

Pay-as-you-go

GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and GPT-4.5 across coding (54.6% SWE-bench Verified), instruction compliance (87.4% IFEval), and multimodal understanding benchmarks. It is tuned for precise code diffs, agent reliability, and high recall in large document contexts, making it ideal for agents, IDE tooling, and enterprise knowledge retrieval.

Model specs

Model ID: gpt-4.1-2025-04-14

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

$2.0000 /1M Tokens

Completion

$4.0000 /1M Tokens

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

Long-context reasoning and software engineering

Use GPT-4.1 for tasks requiring a 1M token context window, including long-document analysis, complex codebases, and enterprise knowledge retrieval. It excels at instruction following and agent reliability.

What should you check before using it?

Plan for the 1M context window and instruction-following needs

Confirm your workload benefits from the 1M token context window. Test instruction-following accuracy on your specific prompts and verify agent reliability for your most demanding workflows. Knowledge cutoff: 2024-06-01.

Why use it through MixRoute?

Swap the base URL, keep the GPT-4.1 client

MixRoute serves GPT-4.1 on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID gpt-4.1-2025-04-14 and re-run your integration tests.

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Tool calling

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

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

Streaming

GPT-4.1 supports streamed responses.

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

Prompt caching

GPT-4.1 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 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 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 –

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

FAQ

GPT-4.1 is billed per use and the record publishes no free-tier allowance. The current published rates are input $2.0000 per 1M tokens and output $4.0000 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-4.1-2025-04-14

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