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OGPT-4o-mini (batch)API

GPT-4o mini is OpenAI's newest model after GPT-4 Omni, supporting both text and image inputs with text outputs.

128KContext window · tokens
$0.08Input price · per M tokens
$0.3Output price · per M tokens
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Prices update automatically — checked daily against provider list prices.

See open-source alternatives → Compare all model prices

Benchmarks & performance

Independent benchmark scores for GPT-4o-mini (batch), measured by Artificial Analysis. Higher is better.

Intelligence index6.7
Coding index11.4
Math index14.7
GPQA42.6%
MMLU-Pro64.8%
Humanity's Last Exam4.2%
LiveCodeBench23.4%
SciCode22.9%
MATH-50078.9%
AIME11.7%
AIME 202514.7%
IFBench31%
τ-Bench Banking2.9%
Terminal-Bench5.6%
💰 Blended price$0.262 / 1M tokens
📈 Value25.6 intelligence points per $
vs. models measured heretop 93%
Scores higher than 7% of the 273 models measured by Artificial Analysis and tracked here.
Models at this level cost $0.24 per 1M tokens (median of 21) — this one costs $0.14.
Cheaper and better on this index: GLM 5.3 Flash · DeepSeek V4 Flash 0731 · DeepSeek V4 Flash 0423 and 15 more
Benchmark data by Artificial Analysis

About this model

GPT-4o-mini (batch) 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-4o-mini (batch)?

GPT-4o-mini (batch) is an AI language model from OpenAI. It is a proprietary model, available through an API. It scores 6.7 on the Artificial Analysis intelligence index.

Is GPT-4o-mini (batch) free?

GPT-4o-mini (batch) is not free: it costs $0.08 per million input tokens and $0.3 per million output tokens. Open-weight alternatives can be self-hosted at no per-token cost.

What is GPT-4o-mini (batch) good at?

Independent benchmarks from Artificial Analysis give it GPQA 42.6%, MMLU-Pro 64.8%, Humanity's Last Exam 4.2%, LiveCodeBench 23.4%, SciCode 22.9%, MATH-500 78.9%, AIME 11.7%, AIME 2025 14.7%, IFBench 31%, τ-Bench Banking 2.9%, Terminal-Bench 5.6%. It is particularly used for code generation.

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