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OGPT-5API

GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience.

400KContext window · tokens
$1.25Input price · per M tokens
$10Output 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, measured by Artificial Analysis. Higher is better. Measurement mode: high.

Intelligence index35.3
Coding index37.8
Math index94.3
GPQA85.4%
MMLU-Pro87.1%
Humanity's Last Exam28.5%
Long Context Reasoning76.3%
LiveCodeBench84.6%
SciCode42.9%
MATH-50099.4%
AIME95.7%
AIME 202594.3%
IFBench73.1%
τ²-Bench84.8%
τ-Bench Banking22.1%
Terminal-Bench35.2%
Terminal-Bench Hard32.6%
💰 Blended price$3.438 / 1M tokens
📈 Value10.3 intelligence points per $
vs. models measured heretop 38%
Scores higher than 62% of the 273 models measured by Artificial Analysis and tracked here.
Models at this level cost $1.72 per 1M tokens (median of 22) — this one costs $3.44.
Cheaper and better on this index: Grok 4.6 · GPT-5.6 Sol (batch) · GLM 5.3 and 63 more
Benchmark data by Artificial Analysis

About this model

GPT-5 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?

GPT-5 is an AI language model from OpenAI. It is a proprietary model, available through an API. It scores 35.3 on the Artificial Analysis intelligence index.

Is GPT-5 free?

GPT-5 is not free: it costs $1.25 per million input tokens and $10 per million output tokens. Open-weight alternatives can be self-hosted at no per-token cost.

What is GPT-5 good at?

Independent benchmarks from Artificial Analysis give it GPQA 85.4%, MMLU-Pro 87.1%, Humanity's Last Exam 28.5%, Long Context Reasoning 76.3%, LiveCodeBench 84.6%, SciCode 42.9%, MATH-500 99.4%, AIME 95.7%, AIME 2025 94.3%, IFBench 73.1%, τ²-Bench 84.8%, τ-Bench Banking 22.1%, Terminal-Bench 35.2%, Terminal-Bench Hard 32.6%. It is particularly used for code generation.

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