Models
gpt-5.4-nano — API, Pricing & Context Window | Vivgrid
gpt-5.4-nano on Vivgrid: the smallest, most economical GPT-5.4 model with a 400K context window and image and PDF input for high-scale tasks.
gpt-5.4-nano is the smallest and most economical model in the GPT-5.4 family, built for massive-scale, latency-sensitive workloads. Despite its size it keeps a 400K-token context window and supports image and PDF inputs.
Vivgrid serves it with geo-distributed acceleration across AMER and EMEA, so even the highest-volume pipelines stay fast and affordable.
Specifications
| Provider | OpenAI |
| Model ID | gpt-5.4-nano |
| Best for | General-purpose |
| Context window | 400,000 tokens |
| Max output | 128,000 tokens |
| Modalities | Text, Image, Pdf |
| Tool / function calling | Yes |
| Knowledge cutoff | 2025-08 |
| Acceleration | ⚡ Geo-Distributed — AMER, EMEA |
Pricing
Pricing in USD per 1M tokens, matching the provider's rates.
| Input | Cached input | Output |
|---|---|---|
| $0.20 | $0.02 | $1.25 |
Quick start
Call gpt-5.4-nano through Vivgrid's unified, OpenAI-compatible endpoint. Get an API key from the Vivgrid Console.
curl https://api.vivgrid.com/v1/chat/completions \
-H "Authorization: Bearer $VIVGRID_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-5.4-nano",
"messages": [
{ "role": "user", "content": "Say hello in English, Chinese and Spanish." }
],
"stream": true
}'Ideal use cases
- Very high-volume classification, tagging, and routing
- Lightweight assistants and autocomplete-style features
- Cost-sensitive preprocessing in larger agent pipelines
- Bulk document and image triage
Related models
- gpt-5.4-mini — a step up in quality
- gpt-5.4 — the flagship 5.4 model
- gpt-5-mini — prior-generation small model