OpenAI
GPT-5.5 API
GPT-5.5 is OpenAI's frontier route here for agentic coding, computer-oriented work, and knowledge tasks. It is aimed at workflows where the model must do more than answer a question: it needs to interpret a goal, work through evidence, use tools, and provide a result a developer can verify.
That makes it relevant to engineering agents, research-heavy internal tools, and complex operational assistants. The quality bar should be defined by your workflow—passing a test suite, producing valid structured data, or reaching a human approval point—not by broad claims about a model family.
GlideflowAI provides the connection layer, not a replacement for your guardrails. Use a stable OpenAI-compatible client setup, then decide which calls deserve this route based on empirical evaluation and token economics.
What GPT-5.5 is good for
- A coding agent that investigates, edits, runs tests, and reports the diff.
- Structured research assistants that cite supplied sources for a human decision-maker.
- Product operations workflows that combine documents with approved tools.
- Complex debugging sessions that require hypotheses and iterative evidence gathering.
- Preparing an implementation plan from a product spec, code context, and constraints.
New to the gateway? Start with the quickstart, then review authentication before putting a key in an application.
Before a production launch, keep credentials server-side, record each selected model, token use, and validation result, and define a per-run budget. Those traces let you compare models on the workflow that matters, diagnose failures with evidence, and change a routing rule without guessing when product requirements or traffic change.
When to choose GPT-5.5
Choose GPT-5.5 for the harder end of agentic coding and knowledge work. GPT-5.6 Terra is a closer balanced alternative for long-context frontier work, while GPT-5 or GPT-5 Mini may fit general or high-volume tasks with simpler success criteria.
Compare the current token rates on Pricing and test the nearest alternatives on your real prompts. The related models below are a useful starting set for that evaluation.
Call GPT-5.5 in seconds
It's OpenAI-compatible. Point your existing client athttps://api.glideflowai.com/v1and set the model togpt-5.5.
curl https://api.glideflowai.com/v1/chat/completions \
-H "Authorization: Bearer sk-xxx" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-5.5",
"messages": [{"role": "user", "content": "Hello"}]
}'FAQ
Can I use GPT-5.5 with an existing OpenAI client?
Yes. Configure the client to use GlideflowAI's base URL and credential, then pass gpt-5.5 as the model. See the quickstart for a minimal request before adapting your existing application.
How should I evaluate it for coding agents?
Use a small set of real issues with known tests and measure the entire loop: investigation quality, tool behavior, patch correctness, retries, and token use. A single generated snippet is not a useful proxy for repository work.
Does the gateway provide computer-use permissions?
No. Your agent framework decides what tools exist and what they are allowed to do. Restrict file, browser, and deployment actions in your own environment and require approval where appropriate.
Where can I see current charges?
The displayed pricing shows the per-million-token rates for this model. Account usage and billing controls live in the GlideflowAI app; design your application to log model choice and token usage for operational visibility.