What model ID should you use for gpt-5.4-mini?

Use the exact model ID `gpt-5.4-mini` in the request. Keep the ID unchanged when comparing results across routing tests.

How do you call gpt-5.4-mini through MixRoute?

The model record lists OpenAI-compatible access via POST /v1/chat/completions with model ID gpt-5.4-mini.

Does gpt-5.4-mini charge more for long inputs?

GPT-5.4 Mini uses a single published rate for input, regardless of request length; see the pricing table for the applicable amount.

Which input modalities are listed for gpt-5.4-mini?

The current model record lists no modality list. Confirm the current record before relying on a specific input type in production.

How does gpt-5.4-mini compare with other models, and what should you compare?

Compare gpt-5.4-mini 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.

What should you evaluate before moving production traffic to gpt-5.4-mini?

Before moving production traffic to gpt-5.4-mini, verify pricing, rate limits, and output quality on your specific tasks. Run a pilot with a representative sample of your workload, check latency at your expected concurrency, and confirm that the model handles your edge cases reliably.

How should you set the output budget for gpt-5.4-mini?

For gpt-5.4-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.

Model detail

GPT-5.4 Mini

Provided by OpenAI

Pay-as-you-go

GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding, and tool use, while reducing latency and cost for large-scale deployments. The model is designed for production environments that require a balance of capability and efficiency, making it well suited for chat applications, coding assistants, and agent workflows that operate at scale. GPT-5.4 mini delivers reliable instruction following, solid multi-step reasoning, and consistent performance across diverse tasks with improved cost efficiency.

Model specs

Model ID: gpt-5.4-mini

Context length: 400K
Max output: 128K
I/O modalities
Released: 2026-03

API endpoints

One MixRoute gateway, OpenAI-compatible

OpenAI-compatible /v1/chat/completions POST

Pricing

Flat rate, unit: /1M Tokens

Input

$0.7500 /1M Tokens

Completion

$4.5000 /1M Tokens

Cache read

$0.0750 /1M Tokens

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

Mini model for fast efficient tasks

GPT-5.4 Mini: GPT-5.4 Mini brings the strengths of GPT-5.4 to a faster, more efficient model designed for high-volume workloads. Learn more in our Model guidance page. Reasoning.effort supports:. 400,000-token context.

What should you check before using it?

400,000 context, 128,000 output

OpenAI model. Supports tool calling, structured outputs, function calling. Knowledge cutoff: 2025-08-31.

Why use it through MixRoute?

Drop-in via OpenAI-compatible endpoint on MixRoute

Set the model parameter to "gpt-5.4-mini" and use your MixRoute API key.

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Tool calling

GPT-5.4 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-5.4 Mini can produce JSON-formatted output on demand.

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

Streaming

GPT-5.4 Mini supports streamed responses.

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

Prompt caching

GPT-5.4 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-5.4 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-5.4 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 400K

Output tokens Max per request 128K

Requests / month

Cache hit rate 0%

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

FAQ

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-5.4-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