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OpenAIReleased on Dec 11, 2025

GPT-5.2 Pro: Benchmarks, Pricing & Context Window

GPT-5.2 Pro is a language model from OpenAI, released in December 2025, with multimodal input.

GPT-5.2 Pro is the Pro variant of GPT-5.2, designed for top-quality, end-to-end execution. It supports xhigh reasoning and is priced at $1.75/1M input and $14/1M output tokens.

Input
TextImage
Output
Text

GPT-5.2 Pro benchmarks

Capability tiers

Standing within each category, adjusted for leaderboard depth.

Real tasks performance

High-confidence performance for GPT-5.2 Pro across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.

Performance by conversation depth

How GPT-5.2 Pro holds up as conversations get longer.

Quality Tracker

GPT-5.2 Pro Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

LLM Stats Logollm-stats.com - Fri Oct 02 2026
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GPT-5.2 Pro pricing

Providers

GPT-5.2 Pro starts at $21.00 per million input tokens and $168 per million output tokens via OpenAI.

ProviderInput $/MCached input $/MOutput $/MContext in / outTTFT p95 sOutput p5 c/sModalities in / out
OpenAI logoOpenAI
$21.00—$168400.0K/128.0K
30.00
—
/

Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests.

GPT-5.2 Pro context window

Input and output token limits for GPT-5.2 Pro, plus how it ranks on long-context understanding.

InputOutput
400Ktokens
128Ktokens
≈ 602 pages of text
400K
8K128K1M

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GPT-5.2 Pro latency

GPT-5.2 Pro time to first token, sustained output throughput, and failed-request rate from live model usage over the trailing 7 days.

GPT-5.2 Pro examples

Recent arena outputs from GPT-5.2 Pro, picked from the highest-ranked matchups.

GPT-5.2 Pro license

GPT-5.2 Pro is a proprietary model available under its provider's product and API terms.

License
Proprietary
Hosted access

Proprietary license - usage restrictions apply

GPT-5.2 Pro resources

Official sources for GPT-5.2 Pro: provider documentation, official playground, official launch post.

GPT-5.2 Pro vs other models

The most-compared alternatives to GPT-5.2 Pro are GLM-5.1, Seed 2.0 Pro, Grok-4 Heavy. Open any pair side-by-side for benchmarks, pricing, context, and latency.

Models like GPT-5.2 Pro

Models ranked just above and below GPT-5.2 Pro by LLM Stats score.

 

GLM-5.1

Score pending
 

Seed 2.0 Pro

Score pending
 

Grok-4 Heavy

Score pending
 

GPT-5.2

Score pending
 

Kimi K2.6

Score pending
 

Claude Opus 4.8

Score pending

FAQ

Common questions about GPT-5.2 Pro.

When was GPT-5.2 Pro released?

GPT-5.2 Pro was released on December 11, 2025 by OpenAI. This is the official GPT-5.2 Pro release date tracked on LLM Stats.

How much does GPT-5.2 Pro cost?

GPT-5.2 Pro pricing starts at $21.00 per million input tokens and $168.00 per million output tokens via OpenAI, the lowest price among tracked providers.

Who created GPT-5.2 Pro?

GPT-5.2 Pro was created by OpenAI.

What is the license for GPT-5.2 Pro?

GPT-5.2 Pro is released under the Proprietary license.

Is GPT-5.2 Pro multimodal?

Yes, GPT-5.2 Pro is multimodal and can accept both text and images as input.

What is GPT-5.2 Pro latency?

GPT-5.2 Pro p95 time to first token is 30.00 seconds via OpenAI over the trailing 7 days. Lower time to first token means the model begins responding sooner for chat, agents and model workloads.

Where can I use GPT-5.2 Pro?

GPT-5.2 Pro is available through 1 provider including OpenAI.

Where is the GPT-5.2 Pro paper or technical report?

GPT-5.2 Pro has a paper or technical report available at https://openai.com/index/introducing-gpt-5-2/. Use that source for architecture, training, release and evaluation details.

What models should I compare GPT-5.2 Pro against?

Common GPT-5.2 Pro comparisons include GPT-5.2 Pro vs GLM-5.1, GPT-5.2 Pro vs Seed 2.0 Pro, GPT-5.2 Pro vs Grok-4 Heavy. Compare them side by side for benchmark scores, pricing, context window, latency and provider availability.