OpenAIOpenAI·💬 Text Generation

GPT-5.2

ReasoningFunction CallingWeb Searchanonymized
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Quick reference
GPT-5.2 — TLDR
  • 🆕 OpenAI's GPT-5 series frontier model, released December 2025.
  • 🧠 Adaptive reasoning allocates compute dynamically across simple and complex tasks.
  • 📏 256K-token context window for long-document and long-horizon work.
  • 🔧 Built for agentic workflows with stronger, more reliable tool calling.
  • 🎯 Reasoning effort tunable from none through extra-high.
  • 👁️ Adds reasoning, function-calling, and web-search capabilities.
  • ⚡ Token-efficient reasoning lowers cost-to-quality on agentic evals.
  • 🏢 Positioned by OpenAI for professional knowledge work and long-running agents.
💰 Pricing
$2.19 / $17.50
per 1M · input / output
📏 Context
256K tokens
📅 On Venice since
Dec 13, 2025
173 days ago
Provider

OpenAI is an American artificial intelligence research organization headquartered in San Francisco, structured as both a for-profit public benefit corporation and a nonprofit foundation. The lab developed the GPT family of large language models, the DALL-E…

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24 models on Venice
13 text · 4 video · 2 image · 2 embedding · 2 inpaint · 1 asr
Since Jan 15, 2025

About this model

GPT-5.2 is a frontier-grade model in OpenAI's GPT-5 series, released in December 2025 and described by OpenAI as its most advanced model for everyday professional work, spanning reasoning, long-context understanding, coding, and vision. It uses adaptive reasoning to allocate computation dynamically, answering simple queries quickly while spending more depth on complex tasks, and supports a 256K-token context window alongside function-calling and web-search.

Compared with its predecessor GPT-5.1, OpenAI reports stronger multi-step reasoning, greater quantitative accuracy, and more reliable problem solving on complex technical tasks. A key theme is token efficiency: OpenAI states that despite a higher per-token price, the cost of reaching a given quality level can end up lower because GPT-5.2 uses fewer tokens, and the company highlights improved tool calling and lower latency in agentic workflows. In the API, reasoning effort is configurable from none through extra-high.

Within the GPT-5 family, GPT-5.2 has a coding-specialized counterpart in GPT-5.2 Codex, which OpenAI tuned for long-horizon agentic coding, context compaction, large refactors, and Windows environments. It was later succeeded by GPT-5.4 and GPT-5.5, with OpenAI's documentation now recommending the newer GPT-5.5 for the most complex professional work and listing GPT-5.2 as a previous frontier model.

For teams, GPT-5.2 targets long-running agents, grounded assistants, and tool-heavy production workflows, building on the GPT-5 lineage with an emphasis on reliability and efficient reasoning rather than raw scale.

This About section is AI-generated from public sources (Claude Opus 4.8), with no human editing. It may contain inaccuracies — verify critical details against the sources listed above.

Data sources: Venice API · HuggingFace · Wikipedia — enrichment updated 1d ago