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OGPT-4.1 MiniAPI

GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost.

1MContext window · tokens
$0.4Input price · per M tokens
$1.6Output 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-4.1 Mini, measured by Artificial Analysis. Higher is better.

Intelligence index14.8
Coding index20.2
Math index46.3
GPQA66.4%
MMLU-Pro78.1%
Humanity's Last Exam5%
Long Context Reasoning45.3%
LiveCodeBench48.3%
SciCode40.4%
MATH-50092.5%
AIME43%
AIME 202546.3%
IFBench38.3%
τ²-Bench52.9%
τ-Bench Banking5.4%
Terminal-Bench10.1%
Terminal-Bench Hard7.6%
💰 Blended price$0.7 / 1M tokens
📈 Value21.1 intelligence points per $
vs. models measured heretop 74%
Scores higher than 26% of the 273 models measured by Artificial Analysis and tracked here.
Models at this level cost $0.44 per 1M tokens (median of 19) — this one costs $0.7.
Cheaper and better on this index: GLM 5.3 Flash · Gemini 3.7 Flash (batch) · GPT-5.6 Luna and 59 more
Benchmark data by Artificial Analysis

About this model

GPT-4.1 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-4.1 Mini?

GPT-4.1 Mini is an AI language model from OpenAI. It is a proprietary model, available through an API. It scores 14.8 on the Artificial Analysis intelligence index.

Is GPT-4.1 Mini free?

GPT-4.1 Mini is not free: it costs $0.4 per million input tokens and $1.6 per million output tokens. Open-weight alternatives can be self-hosted at no per-token cost.

What is GPT-4.1 Mini good at?

Independent benchmarks from Artificial Analysis give it GPQA 66.4%, MMLU-Pro 78.1%, Humanity's Last Exam 5%, Long Context Reasoning 45.3%, LiveCodeBench 48.3%, SciCode 40.4%, MATH-500 92.5%, AIME 43%, AIME 2025 46.3%, IFBench 38.3%, τ²-Bench 52.9%, τ-Bench Banking 5.4%, Terminal-Bench 10.1%, Terminal-Bench Hard 7.6%. It is particularly used for code generation.

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