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Oo3 Mini High (batch)API

OpenAI o3-mini-high is the same model as o3-mini with reasoning_effort set to high.

200KContext window · tokens
$0.55Input price · per M tokens
$2.2Output 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 o3 Mini High (batch), measured by Artificial Analysis. Higher is better. Measurement mode: high.

Intelligence index15.7
Coding index16.3
GPQA77.3%
MMLU-Pro80.2%
Humanity's Last Exam12%
Long Context Reasoning42%
LiveCodeBench73.4%
SciCode39.8%
MATH-50098.5%
AIME86%
IFBench67.1%
τ²-Bench31.3%
τ-Bench Banking5.2%
Terminal-Bench4.5%
Terminal-Bench Hard6.1%
💰 Blended price$1.925 / 1M tokens
📈 Value8.2 intelligence points per $
vs. models measured heretop 72%
Scores higher than 28% of the 273 models measured by Artificial Analysis and tracked here.
Models at this level cost $0.41 per 1M tokens (median of 17) — this one costs $0.96.
Cheaper and better on this index: GLM 5.3 Flash · Gemini 3.7 Flash · Gemini 3.7 Flash (batch) and 74 more
Benchmark data by Artificial Analysis

About this model

o3 Mini High (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 o3 Mini High (batch)?

o3 Mini High (batch) is an AI language model from OpenAI. It is a proprietary model, available through an API. It scores 15.7 on the Artificial Analysis intelligence index.

Is o3 Mini High (batch) free?

o3 Mini High (batch) is not free: it costs $0.55 per million input tokens and $2.2 per million output tokens. Open-weight alternatives can be self-hosted at no per-token cost.

What is o3 Mini High (batch) good at?

Independent benchmarks from Artificial Analysis give it GPQA 77.3%, MMLU-Pro 80.2%, Humanity's Last Exam 12%, Long Context Reasoning 42%, LiveCodeBench 73.4%, SciCode 39.8%, MATH-500 98.5%, AIME 86%, IFBench 67.1%, τ²-Bench 31.3%, τ-Bench Banking 5.2%, Terminal-Bench 4.5%, Terminal-Bench Hard 6.1%. It is particularly used for code generation.

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