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OpenAI · GPT
No. 11

GPT-5.4 nano

OpenAI's cheapest small model for high-volume simple work.

FastClosed weightsText, Image, Pdf
Field notes
Context window
400Ktokens
Max output
128Ktokens
Input price
$0.20/ 1M tokens
Output price
$1.25/ 1M tokens
Cached input
$0.02/ 1M tokens
Modalities
Text, Image, Pdf
Knowledge cutoff
Oct 2025
Released
Mar 2026
Approx. speed
Overview

What this model is

GPT-5.4 nano is OpenAI's cheapest and smallest current model, built for high-volume, simple, latency-sensitive tasks. It is ideal as a router target for classification, extraction, and lightweight generation where cost dominates. It is not meant for complex reasoning or agentic coding.

Strengths

  • Cheapest model in the lineup ($0.20/$1.25)
  • Very fast, low-latency output
  • 400K-token context despite tiny size
  • Multimodal text, image, and PDF input
  • Aggressive cache discount for repeated prompts

Trade-offs

  • Limited reasoning and coding depth
  • Not for complex or agentic tasks
  • Weaker instruction adherence on hard prompts

Best for

  • High-volume classification and extraction
  • Routing and intent detection
  • Cheap autocomplete and suggestions
  • Bulk tagging and moderation
  • Latency-critical lightweight calls

Not ideal for

  • Complex reasoning or coding
  • Agentic work
  • High-quality long-form writing
Capabilities

Capability profile

Normalized 0–100 scores, comparable across the whole catalog.

Reasoning66Coding68Math70Writing74Knowledge72Speed95Agentic64Vision70Multilingual78Long Context78
Reasoning
66
Coding
68
Math
70
Writing
74
Knowledge
72
Speed
95
Agentic
64
Vision
70
Multilingual
78
Long Context
78
Benchmarks

How it scores

Public benchmark results, with independent third-party results where available. Bars normalize percentages to 100 and Elo ratings to a 1500 ceiling.

Independent index
Artificial Analysis Intelligence Index
Composite of ~9–10 independent evals · Artificial Analysis
38/ 100
BenchmarkResult
Artificial Analysis Intelligence Indexindependent
GeneralArtificial Analysis
38%
MMLU-Pro
KnowledgeVendor-reported
35.6%
LiveBenchindependent
GeneralLiveBench
70.1%
Alternatives

Comparable models

Models in a roughly similar class — worth weighing against this one.