GPT-5.4 nano

Tiny GPT-5.4 variant for very low-cost and high-throughput tasks

Published

GPT-5.4 nano is an OpenAI general-purpose model for batch tagging, simple extraction, routing, preprocessing and extremely cost-sensitive workloads.

starsCapabilities

visibilityVision understandingcodeFunction callingstreamStreaming outputdata_objectStructured output

paymentsContext and pricing

Context limit400,000
Max output128,000
Knowledge cutoff2025-08-31
Input price$0.2/ 1M tokens
Output price$1.25/ 1M tokens
Cached input price$0.02/ 1M tokens

descriptionOverview

Overview

GPT-5.4 nano is a general-purpose model in the official OpenAI model catalog, with model ID gpt-5.4-nano. It should be evaluated for text understanding, generation, coding assistance, structured processing and multimodal product capabilities rather than single-purpose image generation, transcription or TTS.

Best for

Use GPT-5.4 nano as a core candidate for assistants, complex Q&A, coding, long-form analysis, workflow automation and vision-enabled applications. Before production, compare context length, pricing, latency, tool support and real output quality.

lightbulbUse cases

  • Assistants and complex Q&A
  • Code generation and code review
  • Content generation, summarization and rewriting
  • Structured extraction and automation

thumb_upStrengths

  • Useful for general production workloads
  • Covers text understanding and generation
  • Easy to compare with smaller variants
  • Good core model for agent and tool workflows

infoLimitations

  • Capabilities and pricing depend on official OpenAI documentation
  • Higher-quality models usually cost more and add latency
  • Complex workflows still need prompts, tools and evaluation
  • Not a replacement for dedicated image, transcription or TTS models

linkReferences

This content is compiled from official documentation and public sources. Always refer to official documentation for final details