# GPT-5.2

> OpenAI's flagship reasoning model for professional knowledge work and long-running agents.

- Maker: OpenAI
- Line: GPT (Flagship / Thinking)
- Canonical page: https://ai-tldr.dev/models/gpt-5-2/
- Updated: 2026-06-18

## In short

GPT-5.2 is OpenAI's flagship model released on December 11, 2025, positioned as its most capable series for professional knowledge work and long-running agents. It has a 400K-token context window and costs $1.75 per million input tokens and $14.00 per million output tokens. You can use it through OpenAI.

## Facts

| Fact | Value | Source |
| --- | --- | --- |
| Context window | 400K (max output 128K) | [1] |
| Input price | $1.75 / 1M tokens (cached $0.175 / 1M tokens) | [2] |
| Output price | $14.00 / 1M tokens | [2] |
| Licence | Proprietary · API only | [1] |
| Released | 11 December 2025 | [3] |
| Parameters | Not disclosed by OpenAI | [1] |
| Knowledge cutoff | August 31, 2025 | [1] |

## Sources

1. [GPT-5 System Card Update: GPT-5.2 (OpenAI)](https://openai.com/index/gpt-5-system-card-update-gpt-5-2/)
2. [GPT-5.2: Benchmarks & Model Breakdown (DataCamp)](https://www.datacamp.com/blog/gpt-5-2)
3. [Introducing GPT-5.2 (OpenAI)](https://openai.com/index/introducing-gpt-5-2/)

## Overview

GPT-5.2 is OpenAI's flagship model released on December 11, 2025, positioned as its most capable series for professional knowledge work and long-running agents. It came out shortly after a reported internal "code red" at OpenAI to respond to competitive pressure from Google's Gemini 3, and OpenAI says GPT-5.2 reclaims the lead on a broad set of benchmarks spanning coding, math, reasoning, and multimodal tasks.

GPT-5.2 ships in three tiers. GPT-5.2 Instant (API id gpt-5.2-chat-latest) is the fast everyday model; GPT-5.2 Thinking (API id gpt-5.2) is the reasoning model aimed at complex multi-step work, coding, and agents; and GPT-5.2 Pro (API id gpt-5.2-pro) targets the hardest technical and analytical problems with the most inference-time compute. All three accept text and image input and return text, with a 400K-token context window and up to 128K output tokens.

The headline result is GDPval, OpenAI's eval of well-specified knowledge-work tasks across 44 occupations: GPT-5.2 Thinking beats or ties top industry professionals on 70.9% of comparisons judged by human experts, which OpenAI frames as the first model to perform at or above human-expert level on that benchmark. GPT-5.2 also reaches 100% on AIME 2025 (no tools), 80.0% on SWE-bench Verified, and 52.9% on ARC-AGI-2, with a knowledge cutoff of August 31, 2025.

## Benchmarks

- GDPval (win/tie vs. experts, Thinking): 70.9% ([source](https://www.marktechpost.com/2025/12/11/openai-introduces-gpt-5-2-a-long-context-workhorse-for-agents-coding-and-knowledge-work/))
- AIME 2025 (no tools, Thinking): 100% ([source](https://www.rdworldonline.com/how-gpt-5-2-stacks-up-against-gemini-3-0-and-claude-opus-4-5/))
- SWE-bench Verified (Thinking): 80% ([source](https://www.datacamp.com/blog/gpt-5-2))
- SWE-bench Pro (Thinking): 55.6% ([source](https://www.datacamp.com/blog/gpt-5-2))
- GPQA Diamond (Thinking): 92.4% ([source](https://www.marktechpost.com/2025/12/11/openai-introduces-gpt-5-2-a-long-context-workhorse-for-agents-coding-and-knowledge-work/))
- FrontierMath Tier 1-3 (Python tools, Thinking): 40.3% ([source](https://www.marktechpost.com/2025/12/11/openai-introduces-gpt-5-2-a-long-context-workhorse-for-agents-coding-and-knowledge-work/))
- ARC-AGI-2 (Thinking): 52.9% ([source](https://www.marktechpost.com/2025/12/11/openai-introduces-gpt-5-2-a-long-context-workhorse-for-agents-coding-and-knowledge-work/))
- ARC-AGI-1 (Thinking): 86.2% ([source](https://www.marktechpost.com/2025/12/11/openai-introduces-gpt-5-2-a-long-context-workhorse-for-agents-coding-and-knowledge-work/))
- Tau2-bench Telecom (Thinking): 98.7% ([source](https://www.marktechpost.com/2025/12/11/openai-introduces-gpt-5-2-a-long-context-workhorse-for-agents-coding-and-knowledge-work/))
- MMMU-Pro (vision): 86.5% ([source](https://vertu.com/lifestyle/gpt-5-2-review-benchmark-results-real-world-testing-and-competitive-analysis/))
- Video-MMMU (vision): 90.5% ([source](https://vertu.com/lifestyle/gpt-5-2-review-benchmark-results-real-world-testing-and-competitive-analysis/))

## Pricing

- Input: $1.75 / 1M tokens per 1M tokens
- Cached input: $0.175 / 1M tokens per 1M tokens
- Output: $14.00 / 1M tokens per 1M tokens

Prices are for GPT-5.2 Thinking (API id gpt-5.2). GPT-5.2 Pro is priced higher at $21 input / $168 output per 1M tokens.

Source: https://www.datacamp.com/blog/gpt-5-2

## Strengths

- First model OpenAI reports at or above human-expert level on GDPval knowledge-work tasks (70.9% win/tie rate, Thinking)
- Strong agentic and tool-use performance, with 98.7% on Tau2-bench Telecom and a 400K-token context window for long-running, multi-step work
- Top-tier reasoning: 100% on AIME 2025 (no tools) and a leading 52.9% on ARC-AGI-2, well ahead of competing frontier models at launch
- Competitive coding ability at 80.0% on SWE-bench Verified and 55.6% on SWE-bench Pro
- Improved multimodal/vision understanding, including 86.5% on MMMU-Pro and 90.5% on Video-MMMU for chart, document, and UI reasoning

## Best for

- Long-running autonomous agents and multi-step workflows that need a large context window and reliable tool use
- Software engineering: writing, refactoring, and fixing code, and resolving real GitHub issues
- Professional knowledge work — building spreadsheets, presentations, analysis, and reports across many occupations
- Hard math, science, and quantitative reasoning where the Thinking and Pro tiers add inference-time compute
- Document, chart, and UI understanding through its text-plus-vision multimodal input

## How to access

- [OpenAI](https://developers.openai.com/api/docs/models/gpt-5.2) — model id `gpt-5.2`
- [OpenAI](https://developers.openai.com/api/docs/models/gpt-5.2) — model id `gpt-5.2-chat-latest`
- [OpenAI](https://developers.openai.com/api/docs/models/gpt-5.2-pro) — model id `gpt-5.2-pro`

## GPT (Flagship / Thinking) versions

- [GPT-5.5](https://ai-tldr.dev/models/gpt-5-5/) (23 April 2026)
- [GPT-5.4](https://ai-tldr.dev/models/gpt-5-4/) (5 March 2026)
- GPT-5.2 (11 December 2025) — this page
- [GPT-5.1](https://ai-tldr.dev/models/gpt-5-1/) (12 November 2025)
- [GPT-5](https://ai-tldr.dev/models/gpt-5/) (7 August 2025)
- [GPT-4o](https://ai-tldr.dev/models/gpt-4o/) (13 May 2024)

## FAQ

### When was GPT-5.2 released?

OpenAI released GPT-5.2 on December 11, 2025, rolling it out first to paid ChatGPT plans and to developers in the API, shortly after a reported internal "code red" to respond to Google's Gemini 3.

### What are the differences between GPT-5.2 Instant, Thinking, and Pro?

Instant (gpt-5.2-chat-latest) is the fast everyday model. Thinking (gpt-5.2) is the reasoning model for complex multi-step work, coding, and agents. Pro (gpt-5.2-pro) spends the most inference-time compute for the hardest technical and analytical tasks. All three share a 400K context window and text-plus-vision input.

### How much does the GPT-5.2 API cost?

GPT-5.2 Thinking is priced at $1.75 per 1M input tokens, $0.175 per 1M cached input tokens, and $14.00 per 1M output tokens. GPT-5.2 Pro costs more at $21 input and $168 output per 1M tokens.

### What is GPT-5.2's context window and knowledge cutoff?

GPT-5.2 has a 400,000-token context window, can output up to 128,000 tokens, and has a knowledge cutoff of August 31, 2025.

## Links

- [Introducing GPT-5.2 (OpenAI)](https://openai.com/index/introducing-gpt-5-2/)
- [GPT-5 System Card Update: GPT-5.2 (OpenAI)](https://openai.com/index/gpt-5-system-card-update-gpt-5-2/)
- [GPT-5.2 model docs (OpenAI API)](https://developers.openai.com/api/docs/models/gpt-5.2)
- [GPT-5.2 Pro model docs (OpenAI API)](https://developers.openai.com/api/docs/models/gpt-5.2-pro)
- [OpenAI introduces GPT-5.2 (MarkTechPost)](https://www.marktechpost.com/2025/12/11/openai-introduces-gpt-5-2-a-long-context-workhorse-for-agents-coding-and-knowledge-work/)
- [GPT-5.2 Benchmarks (Vellum)](https://www.vellum.ai/blog/gpt-5-2-benchmarks)
- [GPT-5.2: Benchmarks & Model Breakdown (DataCamp)](https://www.datacamp.com/blog/gpt-5-2)
- [How GPT-5.2 stacks up vs. Gemini 3 and Claude Opus 4.5 (R&D World)](https://www.rdworldonline.com/how-gpt-5-2-stacks-up-against-gemini-3-0-and-claude-opus-4-5/)
- [GPT-5.2 Review: Benchmarks and Testing (Vertu)](https://vertu.com/lifestyle/gpt-5-2-review-benchmark-results-real-world-testing-and-competitive-analysis/)
- [Sam Altman on GPT-5.2 and 'code red' (CNBC)](https://www.cnbc.com/2025/12/11/openai-intros-new-ai-model-gpt-5point2-says-better-at-professional-tasks.html)

Source: AI/TLDR LLM registry, https://ai-tldr.dev/models/gpt-5-2/