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Oo3 (batch)API

o3 is a well-rounded and powerful model across domains.

200KContext window · tokens
$1Input price · per M tokens
$4Output 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 o3 (batch), measured by Artificial Analysis. Higher is better.

Intelligence index31.1
Math index88.3
GPQA82.7%
MMLU-Pro85.3%
Humanity's Last Exam20.1%
Long Context Reasoning73.3%
LiveCodeBench80.8%
SciCode41%
MATH-50099.2%
AIME90.3%
AIME 202588.3%
IFBench71.4%
τ²-Bench80.7%
Terminal-Bench Hard37.1%
⚡ Speed116.1 tokens/sec
⏱ Latency7.42s to first token
💰 Blended price$3.5 / 1M tokens
📈 Value8.9 intelligence points per $
vs. models measured heretop 47%
Scores higher than 53% of the 273 models measured by Artificial Analysis and tracked here.
Models at this level cost $0.69 per 1M tokens (median of 17) — this one costs $1.75.
Cheaper and better on this index: GLM 5.3 Flash · Gemini 3.7 Flash · Gemini 3.7 Flash (batch) and 59 more
Benchmark data by Artificial Analysis

About this model

o3 (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 (batch)?

o3 (batch) is an AI language model from OpenAI. It is a proprietary model, available through an API. It scores 31.1 on the Artificial Analysis intelligence index.

Is o3 (batch) free?

o3 (batch) is not free: it costs $1 per million input tokens and $4 per million output tokens. Open-weight alternatives can be self-hosted at no per-token cost.

What is o3 (batch) good at?

Independent benchmarks from Artificial Analysis give it GPQA 82.7%, MMLU-Pro 85.3%, Humanity's Last Exam 20.1%, Long Context Reasoning 73.3%, LiveCodeBench 80.8%, SciCode 41%, MATH-500 99.2%, AIME 90.3%, AIME 2025 88.3%, IFBench 71.4%, τ²-Bench 80.7%, Terminal-Bench Hard 37.1%. It is particularly used for mathematical reasoning.

How fast is o3 (batch)?

It generates about 116.1 tokens per second, with a median 7.42s delay before the first token. Measured independently by Artificial Analysis.

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