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OpenAI · GPT
No. 11
GPT-5.4 nano
OpenAI's cheapest small model for high-volume simple work.
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.
- 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%