Everything about GPT-5.2

GPT-5.2 at a glance

OpenAI released GPT-5.2 on December 11, 2025. It has a reasoning mode: it can "think" before answering, which helps with multi-step problems but uses more tokens, and therefore more money. Its weights are not published, so it only runs remotely, through the OpenAI API or partner hosts (34 listed on models.dev). That makes it 10 months old as of October 22, 2026.

We file it under frontier models (24 models in this category on the site).

Measured performance

According to results published by Epoch AI (checked on October 22, 2026), GPT-5.2 has a capability index of 83.9 out of 100, computed on 5 benchmarks from our basket.

That puts it at #21 in our weekly model ranking.

• GPQA Diamond (PhD-level science questions): 91.4% — the best tracked model, Gemini 4 Argon, reaches 96.4%
• OTIS Mock AIME (competition mathematics problems): 96.1% — the best tracked model, GPT-5.5 Pro, reaches 100%
• FrontierMath (very hard research-level mathematics): 67.4% — the best tracked model, GPT-6 Astra, reaches 93.7%
• SWE-bench Verified (fixing real software bugs): 73.8% — the best tracked model, Claude Opus 4.7, reaches 83.5%

Technical specifications

Its context window reaches 400,000 tokens, roughly 600 pages of text at 500 words per page: enough for a long report or several contracts at once. A single answer can run to 128,000 tokens.

It accepts as input: text and image. Its knowledge stops at August 31, 2025: beyond that, it needs web search or your documents.

It can call tools (functions, APIs) and return structured JSON output, which makes it a possible foundation for an AI agent.

How much does GPT-5.2 cost?

GPT-5.2 costs $1.75 per million input tokens and $14 per million output tokens (median of 34 providers, checked on October 22, 2026).

In practice, an agent task that reads 20,000 tokens and writes 2,000 costs about $0.063, or $63 for 1,000 such tasks.

That is in line with frontier models, whose median output price is $14.5.

To estimate your own budget, use the agent cost calculator.

Who is it for?

Given its category, GPT-5.2 is mainly aimed at hard tasks where quality matters more than cost: deep reasoning, complex code, long analyses.

Its Terminal-Bench result (64.9%, above the median of tracked models) makes it a serious candidate for coding agents.

Before adopting it, test it on your own examples: benchmarks measure standard tasks, not your job.

Alternatives

In the same category, the models closest to GPT-5.2 are:

• Claude Haiku 5.5 (Anthropic, index 84)
• GPT-5.6 Terra (OpenAI, index 85.7)
• Gemini 3.7 Flash (Google DeepMind, index 85.9)
• Grok 4.6 (xAI, index 86.1)