Compare models

Context, limits, capabilities, price and use cases side by side — up to 4 models at a time. The URL holds your selection, so you can share it.

GPT-5.5 Add a modelChat with this model

Attribute	GPT-5.5openai/gpt-5.5
Specs
Context window	1M
Max output	128K
Input modalities	TextImage
Output modalities	Text
Capabilities
Streaming	Supported
Tool calling	Supported
Structured output (JSON)	Supported
Image input	Supported
Thinking mode	Supported
Price / 1M tokens
Input	$ 5.00>= 272K$ 10.00
Output	$ 30.00>= 272K$ 45.00
Cache read	$ 0.50>= 272K$ 1.00
Cache write	$ 5.00>= 272K$ 10.00
What it is good at
Best for	Agentic coding Professional knowledge work
Published benchmarks
Terminal-Bench 2.0pass_rate	82.7%effort xhigh(setup not fully disclosed)
BrowseComp (with tools)accuracy	84.4%effort xhigh(setup not fully disclosed)
SWE-Bench Pro (Public)pass_rate	58.6%effort xhigh(setup not fully disclosed)
OSWorld-Verifiedsuccess_rate	78.7%effort xhigh(setup not fully disclosed)
GDPval (wins or ties)wins_or_ties	84.9%effort xhigh(setup not fully disclosed)
OpenAI MRCR v2 8-needle 512K–1Maccuracy	74%effort xhigh(setup not fully disclosed)
MMMU Pro (with tools)accuracy	83.2%effort xhigh(setup not fully disclosed)
Humanity's Last Exam Full (with tools)accuracy	52.2%effort xhigh(setup not fully disclosed)
GPQA Diamondaccuracy	93.6%effort xhigh(setup not fully disclosed)
Toolathlonscore	55.6%effort xhigh(setup not fully disclosed)