---
id: "openai/gpt-5.4-nano"
also: ["openai/gpt-5.4-nano-20260317", "requesty/openai/gpt-5.4-nano", "vercel/openai/gpt-5.4-nano"]
card_usd_per_m: "0.2 in, 1.25 out, at openai"
cheapest_list_usd_per_m: "0.1 in, 0.625 out, at openai/flex on openrouter"
cheapest_effective_usd_per_m: "0.0492 in, 0.6223 out, at openai/flex on openrouter"
context: 400000
max_output: 128000
input: ["file", "image", "text"]
output: ["text"]
released: "2026-03-17"
reasoning: ["xhigh", "high", "medium", "low", "none"]
api: ["/api/v1/chat/completions", "/api/v1/completions", "/api/v1/messages", "/api/v1/responses"]
params: ["include_reasoning", "max_completion_tokens", "max_tokens", "reasoning", "reasoning_effort", "response_format", "seed", "stop", "structured_outputs", "temperature", "tool_choice", "tools", "verbosity"]
endpoints: 8
gateways: "openrouter (4), requesty (2), vercel (2)"
no_training: 8
trains: 0
retains_prompts: 4
coding: 56.1000
agentic: 16
---
# OpenAI: GPT-5.4 Nano

GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding, and tool use, while reducing latency and cost for large-scale deployments.

The model is designed for production environments that require a balance of capability and efficiency, making it well suited for chat applications, coding assistants, and agent workflows that operate at scale. GPT-5.4 mini delivers reliable instruction following, solid multi-step reasoning, and consistent performance across diverse tasks with improved cost efficiency.