identity

proprietary
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gpt-5.2OpenAI

from /1M in$0.88openai inc.
context400K128K out
providers22 regions
price spread2.0x3 endpoints
endpoints
3
regions
2
api
chat
released
December 2025

capabilities 5/8

visionreasoningtoolscachingweb searchjson schemacomputer useimage gen

The same weights cost 2.0x more on openai inc. than on openai inc.. That is what the endpoints table is for.

endpoints

3 / 2 regions
Providers serving gpt-5.2, with pricing and measured performance. Best value in each column is coloured.
#flags
1OpenAI Inc.Global400K$0.88$7.00$0.09no-train
2OpenAI Inc.Global400K$1.75$14.00$0.17no-train
3Microsoft Azure AIeastus2400K$1.75$14.00$0.17zdr
provider price, no markupper 1M tokensblank where no qualifying sample

measured

through Sep 12

no measured traffic for this model yet. the endpoints table above carries provider pricing

benchmarks

artificial analysis
Benchmark scores, each normalised to 100
evalScore as a share of 100/100
Math Index99.0
AIME 202599.0
GPQA Diamond90.3
LiveCodeBench88.9
MMLU Pro87.4
τ²-Bench84.8
Terminal-Bench Hard47.0
Humanity's Last Exam37.7
Intelligence Index30.4
9 evalsmean73.8

Scores from Artificial Analysis and public leaderboards, normalised to 100. Bar colour is the band, not the rank: green 80 and up, blue 55 and up, amber 30 and up. Benchmarks measure narrow skills, so test on your own workload before committing. Released 2025-12-11.

call it

model=
openai/gpt-5.2:flex

this model has no managed policy yet, so call the provider endpoint directly. every id in the endpoints table works the same way

Base url is https://router.requesty.ai/v1 for every id here. One key reaches the whole catalog.

quickstart

openai compatible
main.py
from openai import OpenAI client = OpenAI(    api_key="YOUR_REQUESTY_API_KEY",    base_url="https://router.requesty.ai/v1",) response = client.chat.completions.create(    model="openai/gpt-5.2:flex",    messages=[        {"role": "user", "content": "Explain quantum computing in one paragraph."},    ],) print(response.choices[0].message.content)

Change the base url, use your Requesty key, set the model to any id in the call pane. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog, so switching later is a one-parameter change. Browse all models

notes

reference

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 to simple queries while spending more depth on complex tasks. Built for broad task coverage, GPT-5.2 delivers consistent gains across math, coding, sciende, and tool calling workloads, with more coherent long-form answers and improved tool-use reliability.

questions 5

Which providers serve gpt-5.2?
gpt-5.2 is available from 2 providers through Requesty: OpenAI Inc., Microsoft Azure AI. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.
How much does gpt-5.2 cost?
Pricing starts at $0.88 per million input tokens and $7.00 per million output tokens on the cheapest provider. Prices vary by provider and region; the table above shows every endpoint. Requesty charges exactly what the upstream provider charges, with no markup.
Is gpt-5.2 open weights?
No. gpt-5.2 is a proprietary model from OpenAI, served through OpenAI's own API and licensed cloud platforms.
What is the context window of gpt-5.2?
gpt-5.2 supports up to 400K tokens of context, with up to 128K output tokens per response. Some providers expose a smaller window; check the per-endpoint context column above.
How do I use gpt-5.2 with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "openai/gpt-5.2:flex" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.

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route gpt-5.2 through one endpoint

One key for 2 providers on this model and 600+ others. No markup on provider prices, automatic failover, caching built in. Weekly aggregates in the measured pane come from production traffic routed through Requesty, one line per provider on a shared axis. Methodology

gpt-5.22 providers3 endpointsfrom $0.88 /1M inctx 400Kspread 2.0xupdated Sep 12