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OGPT-5.5API

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks.

1.1MContext window · tokens
$5Input price · per M tokens
$30Output 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-5.5, measured by Artificial Analysis. Higher is better. Measurement mode: xhigh.

Intelligence index56.3
Coding index74.9
GPQA93.5%
Humanity's Last Exam45.8%
Long Context Reasoning79%
SciCode56.1%
IFBench75.9%
τ²-Bench93.9%
τ-Bench Banking39%
Terminal-Bench84.3%
Terminal-Bench Hard60.6%
💰 Blended price$11.25 / 1M tokens
📈 Value5 intelligence points per $
vs. models measured heretop 7%
Scores higher than 93% of the 273 models measured by Artificial Analysis and tracked here.
Models at this level cost $4 per 1M tokens (median of 18) — this one costs $11.25.
Cheaper and better on this index: Claude Opus 5 · Claude Opus 5 (batch) · Claude Fable 5 (batch) and 13 more
Benchmark data by Artificial Analysis

About this model

GPT-5.5 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-5.5?

GPT-5.5 is an AI language model from OpenAI. It is a proprietary model, available through an API. It scores 56.3 on the Artificial Analysis intelligence index.

Is GPT-5.5 free?

GPT-5.5 is not free: it costs $5 per million input tokens and $30 per million output tokens. Open-weight alternatives can be self-hosted at no per-token cost.

What is GPT-5.5 good at?

Independent benchmarks from Artificial Analysis give it GPQA 93.5%, Humanity's Last Exam 45.8%, Long Context Reasoning 79%, SciCode 56.1%, IFBench 75.9%, τ²-Bench 93.9%, τ-Bench Banking 39%, Terminal-Bench 84.3%, Terminal-Bench Hard 60.6%. It is particularly used for code generation.

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