OpenAI
GPT-5.4 API
GPT-5.4 is a general-purpose GPT tier for coding, agents, and knowledge work. It fits the broad middle of production use: more capable than a narrow classifier, yet intended for the many application tasks that do not require a premium frontier route on every turn.
For a product team, that can mean a feature assistant, an internal analyst, or a developer workflow that uses a few dependable tools. The important design choice is to give the model clear context and constraints, then verify outputs with application code, tests, or review.
This model is easy to trial as a baseline because its endpoint and request shape match the rest of the menu. Keep the same prompt suite while comparing it with GPT-5 or GPT-5.6 Terra so the results reflect the model choice rather than an integration difference.
What GPT-5.4 is good for
- General coding help for feature work, debugging, and test generation.
- Internal knowledge assistants with retrieval-selected context.
- Agents that use a small number of read-only business tools.
- Drafting structured product requirements from stakeholder notes.
- Converting support reports into actionable engineering tickets.
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-5.4
Choose GPT-5.4 when you need a strong general GPT route for coding and agents. GPT-5 is a natural comparison for general assistant tasks, while GPT-5.6 Terra is the route to test when your context and agent flow become more demanding.
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.
Pricing
USD per 1M tokens. No hidden markup.
Input
Output
Call GPT-5.4 in seconds
It's OpenAI-compatible. Point your existing client athttps://api.glideflowai.com/v1and set the model togpt-5.4.
curl https://api.glideflowai.com/v1/chat/completions \
-H "Authorization: Bearer sk-xxx" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-5.4",
"messages": [{"role": "user", "content": "Hello"}]
}'FAQ
Is GPT-5.4 suitable for tool calling?
It is listed for agent workflows, so it is reasonable to evaluate with your tools. Keep schemas concise, validate all arguments, and make tool failures visible to the model in a controlled way.
Can I use a single API key for multiple models?
Yes. One GlideflowAI key and base URL can address the catalog; your request selects the model ID. This makes it practical to implement routing or run an A/B evaluation without managing separate provider integrations.
How should I structure a coding request?
Supply the goal, relevant files or excerpts, constraints, and how to verify success. Ask for a plan or a patch format that your workflow can review, rather than giving the model broad unsupervised access.
Do I need to change prompts when switching models?
Often a good prompt transfers, but do not assume outputs will be identical. Test your system instructions, structured-output parser, and tool contracts when changing a production route.