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Head-to-head comparison

GPT-5.2 Chat vs GPT-5.5 Pro

GPT-5.2 Chat (OpenAI) and GPT-5.5 Pro (OpenAI) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 17 August 2026

As of 17 August 2026, GPT-5.2 Chat holds the stronger ModelCap Index position (#9 vs #76); GPT-5.2 Chat is 12.9× cheaper per output token ($14.00/1M vs $180/1M); and GPT-5.5 Pro offers the longer context window (1M vs 128K tokens).

Which should you choose?

Choose GPT-5.2 Chat if…

  • you want the stronger overall ModelCap Index position — #9 against #76 (74.9 vs 35.2 points).
  • API cost matters — $14.00/1M output tokens against $180/1M, about 12.9× cheaper.
  • your workload is prompt-heavy — input tokens cost $1.75/1M against $30.00/1M.

Choose GPT-5.5 Pro if…

  • you need the longer context window — 1M tokens against 128K.
  • you want the more recently listed model — GPT-5.5 Pro was listed 24 April 2026, GPT-5.2 Chat 10 December 2025.

GPT-5.2 Chat vs GPT-5.5 Pro: specs, pricing and context

Specification comparison of GPT-5.2 Chat and GPT-5.5 Pro
FieldGPT-5.2 ChatOpenAIGPT-5.5 ProOpenAI
ModelCap Index position#9#76
Index score74.935.2
EvidenceMeasuredMeasured
Input price / 1M tokens$1.75$30.00
Output price / 1M tokens$14.00$180
Context window128K tokens1M tokens
Max output tokens32K128K
API providers listed11
Weight accessAPI onlyAPI only
Input modalitiesFile, Image, TextFile, Image, Text
First listed10 December 202524 April 2026
PublisherOpenAIOpenAI

Evidence: 2 public benchmark observations across 2 boards · 1 public benchmark observation across 1 board. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: GPT-5.2 Chat vs GPT-5.5 Pro

Public benchmark boards where GPT-5.2 Chat or GPT-5.5 Pro has a published result
BoardGPT-5.2 ChatGPT-5.5 ProLeads
Arena codingArena (LMArena)15151508–1522Only one result
ARC-AGI-2ARC Prize Foundation84.6%HighOnly one result

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

GPT-5.2 Chat vs GPT-5.5 Pro: common questions

Is GPT-5.2 Chat better than GPT-5.5 Pro?

GPT-5.2 Chat ranks higher on the ModelCap Index as of 17 August 2026: #9 against #76. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it.

Is GPT-5.2 Chat cheaper than GPT-5.5 Pro?

GPT-5.2 Chat is cheaper on output tokens: $14.00/1M against $180/1M. Input tokens are $1.75/1M for GPT-5.2 Chat and $30.00/1M for GPT-5.5 Pro. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, GPT-5.2 Chat or GPT-5.5 Pro?

GPT-5.5 Pro has the larger context window: 1M tokens against 128K.

Which is better for coding, GPT-5.2 Chat or GPT-5.5 Pro?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are GPT-5.2 Chat and GPT-5.5 Pro open-weight models?

GPT-5.2 Chat: API only. GPT-5.5 Pro: API only. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run GPT-5.2 Chat and GPT-5.5 Pro?

ModelCap currently lists 1 API provider for GPT-5.2 Chat and 1 for GPT-5.5 Pro, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this GPT-5.2 Chat vs GPT-5.5 Pro comparison?

Every figure comes from the sealed ModelCap dataset published 17 August 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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