Use GPT 5.4 Mini and Nano on AI Gateway

GPT-5.4 Mini and GPT-5.4 Nano from OpenAI are now available on Vercel AI Gateway. Both models deliver state-of-the-art performance for their size class in coding and computer use, and are built for sub-agent workflows where multiple smaller models coordinate on parts of a larger task.

The models also support the verbosity and reasoning level parameters, giving you control over response detail and how much the model reasons before answering.

GPT-5.4 Mini

GPT-5.4 Mini handles code generation, tool orchestration, and multi-step browser interactions more reliably than previous mini-tier models. It's a strong default for agentic tasks that need to balance capability and cost. To use this model, set model to openai/gpt-5.4-mini in the AI SDK.

1
import { streamText } from 'ai';
2

3
const result = streamText({
4
  model: 'openai/gpt-5.4-mini',
5
  prompt:
6
    `Scaffold a new Next.js API route that connects to our
7
     Postgres database, validates the incoming webhook payload,
8
     and writes the event to the audit_logs table.`,
9
});

GPT-5.4 Nano

GPT-5.4 Nano performs close to GPT-5.4 Mini in evaluations at a lower price point. The model is well-suited for high-volume use cases like sub-agent workflows where cost scales with the number of parallel calls. To use this model, set model to openai/gpt-5.4-nano in the AI SDK.

1
import { streamText } from 'ai';
2

3
const result = streamText({
4
  model: 'openai/gpt-5.4-nano',
5
  prompt:
6
    `Check each file in the PR diff for unused imports,
7
     flag any that can be removed, and return the results
8
     as a JSON array with file path and line number.`,
9
});

AI Gateway provides a unified API for calling models, tracking usage and cost, and configuring retries, failover, and performance optimizations for higher-than-provider uptime. It includes built-in observability, Bring Your Own Key support, and intelligent provider routing with automatic retries.

Learn more about AI Gateway, view the AI Gateway model leaderboard or try it in our model playground.