Analysis Summary
OpenAI GPT-5.2 is a mid-generation model from OpenAI with an intelligence index of 26, a livecodebench score of 0.669, and an agentic index of 39.2. It supports vision, tool use, and function calling across a 400K context window, making it one of the more capable multimodal models in its tier. Instruction-following and long-context reasoning scores are above average for its intelligence band.
For businesses, GPT-5.2 suits software engineering assistance, document analysis, agentic pipelines, and client-facing content workflows. The 400K context window is a practical advantage for codebase review or long-contract analysis. Its main limitation is cost: at $1.75 input and $14.00 output per million tokens, it is expensive relative to models with comparable intelligence scores.
Teams that need reliable multimodal capability with strong tool use and are willing to pay a premium for OpenAI's ecosystem and reliability will find GPT-5.2 a capable choice. For cost-sensitive workloads, pairing it with a cheaper model for routine calls is advisable.
Assessed June 30, 2026
Editorial notes
OpenAI GPT-5.2 delivers strong reasoning, coding, and agentic performance with vision and a 400K context window; output pricing is high but capability breadth makes it a credible business workhorse.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
OpenAI GPT-5.2 delivers strong reasoning, coding, and agentic performance with vision and a 400K context window; output pricing is high but capability breadth makes it a credible business workhorse.
How OpenAI: GPT-5.2 compares
OpenAI: GPT-5.2 ranks #24 of 393 AI models we track for overall intelligence, #103 of 300 for agentic tasks. Its 400K-token context window is larger than 83% of the models we list. At $1.75 per million input tokens it is cheaper than 18% of comparable models.
Dark bar = input Ā· light bar = output, scaled to the priciest peer.
1M tokens ā 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in content corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side āPricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $1.75 | $0.001750 |
| Output | $14.00 | $0.014000 |
What would OpenAI: GPT-5.2 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 612 models ā Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: GPT-5.2 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-5.2
GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly..
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<a href="https://designforonline.com/ai-models/openai-gpt-5-2/"><img src="https://designforonline.com/?aiml_badge=openai-gpt-5-2&theme=dark" alt="OpenAI: GPT-5.2, ranked #9 on the Design for Online AI Leaderboard" width="400" height="76"></a>
<a href="https://designforonline.com/ai-models/openai-gpt-5-2/"><img src="https://designforonline.com/?aiml_badge=openai-gpt-5-2&theme=light" alt="OpenAI: GPT-5.2, ranked #9 on the Design for Online AI Leaderboard" width="400" height="76"></a>
Frequently asked questions about OpenAI: GPT-5.2
How much does OpenAI: GPT-5.2 cost?
OpenAI: GPT-5.2 costs $1.75 per million input tokens and $14.00 per million output tokens.
What is the context window of OpenAI: GPT-5.2?
OpenAI: GPT-5.2 has a context window of 400,000 tokens (400K).
What can OpenAI: GPT-5.2 do?
OpenAI: GPT-5.2 supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-5.2?
OpenAI: GPT-5.2 is developed by OpenAI and was released on December 10, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: July 19, 2026 8:38 pm