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OGPT-5.2 ChatAPI

GPT-5.2 Chat (AKA Instant) is the fast, lightweight member of the 5.2 family, optimized for low-latency chat while retaining strong general intelligence.

128KContext window · tokens
$1.75Input price · per M tokens
$14Output 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-5.2 Chat, measured by Artificial Analysis. Higher is better. Measurement mode: Non-reasoning.

Intelligence index26.5
Math index51
GPQA71.2%
MMLU-Pro81.4%
Humanity's Last Exam8%
Long Context Reasoning41.7%
LiveCodeBench66.9%
SciCode40.4%
AIME 202551%
IFBench47.4%
τ²-Bench46.5%
τ-Bench Banking11.1%
Terminal-Bench Hard31.8%
💰 Blended price$4.813 / 1M tokens
📈 Value5.5 intelligence points per $
vs. models measured heretop 51%
Scores higher than 49% of the 273 models measured by Artificial Analysis and tracked here.
Models at this level cost $0.96 per 1M tokens (median of 14) — this one costs $4.81.
Cheaper and better on this index: GPT-5.6 Sol · Grok 4.6 · GPT-5.6 Sol (batch) and 98 more
Benchmark data by Artificial Analysis

About this model

GPT-5.2 Chat 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-5.2 Chat?

GPT-5.2 Chat is an AI language model from OpenAI. It is a proprietary model, available through an API. It scores 26.5 on the Artificial Analysis intelligence index.

Is GPT-5.2 Chat free?

GPT-5.2 Chat is not free: it costs $1.75 per million input tokens and $14 per million output tokens. Open-weight alternatives can be self-hosted at no per-token cost.

What is GPT-5.2 Chat good at?

Independent benchmarks from Artificial Analysis give it GPQA 71.2%, MMLU-Pro 81.4%, Humanity's Last Exam 8%, Long Context Reasoning 41.7%, LiveCodeBench 66.9%, SciCode 40.4%, AIME 2025 51%, IFBench 47.4%, τ²-Bench 46.5%, τ-Bench Banking 11.1%, Terminal-Bench Hard 31.8%. It is particularly used for mathematical reasoning.

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