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OGPT-5.4 MiniAPI

GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads.

400KContext window · tokens
$0.75Input price · per M tokens
$4.5Output price · per M tokens
OpenAIProvider

Prices update automatically — checked daily against provider list prices.

See open-source alternatives → Compare all model prices

Benchmarks & performance

Independent benchmark scores for GPT-5.4 Mini, measured by Artificial Analysis. Higher is better. Measurement mode: xhigh.

Intelligence index40.9
Coding index56.1
GPQA87.5%
Humanity's Last Exam28.1%
Long Context Reasoning73%
SciCode49.9%
IFBench73.3%
τ²-Bench83.3%
τ-Bench Banking25.6%
Terminal-Bench59.2%
Terminal-Bench Hard52.3%
💰 Blended price$1.688 / 1M tokens
📈 Value24.2 intelligence points per $
vs. models measured heretop 25%
Scores higher than 75% of the 273 models measured by Artificial Analysis and tracked here.
Models at this level cost $0.74 per 1M tokens (median of 18) — this one costs $1.69.
Cheaper and better on this index: GLM 5.3 Flash · Gemini 3.7 Flash · Gemini 3.7 Flash (batch) and 17 more
Benchmark data by Artificial Analysis

About this model

GPT-5.4 Mini is a commercial AI model by OpenAI. The specifications below are tracked automatically: pricing is refreshed daily from public list prices, so the numbers on this page reflect the current cost of using the model through its API.

Frequently asked questions

What is GPT-5.4 Mini?

GPT-5.4 Mini is an AI language model from OpenAI. It is a proprietary model, available through an API. It scores 40.9 on the Artificial Analysis intelligence index.

Is GPT-5.4 Mini free?

GPT-5.4 Mini is not free: it costs $0.75 per million input tokens and $4.5 per million output tokens. Open-weight alternatives can be self-hosted at no per-token cost.

What is GPT-5.4 Mini good at?

Independent benchmarks from Artificial Analysis give it GPQA 87.5%, Humanity's Last Exam 28.1%, Long Context Reasoning 73%, SciCode 49.9%, IFBench 73.3%, τ²-Bench 83.3%, τ-Bench Banking 25.6%, Terminal-Bench 59.2%, Terminal-Bench Hard 52.3%. It is particularly used for code generation.

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