OpenAI
GPT-6.1 Sol
gpt-6.1-sol
Total Context
1.1M
Max Output
128K
Released
N/A
Input$2 / M tokens
Output$10 / M tokens
GPT-5.4 Nano
gpt-5.4-nanoGPT-5.4 Nano is the lowest-cost, smallest GPT-5.4 option for high-volume simple tasks. OpenAI’s model guidance positions nano models around latency and cost efficiency rather than maximum reasoning depth. It should be used in descriptions for classification, routing, extraction, lightweight generation, and other predictable workflows.
Context Window
400K tokens
Maximum Output
128K tokens
Release Date
Mar 17, 2026
Modalities
GPT-5.4 Nano Pricing
| Input Price | Output Price | Cache Read |
|---|---|---|
| $0.2/M | $1.25/M | $0.02/M |
GPT-5.4 Nano API Capabilities
Reasoning
Supported
Tool calling
Supported
Temperature parameter
Not supported
Attachments
Supported
Knowledge Base
2025-08-31
Endpoint Protocols
Completions APIMessages API
GPT-5.4 nano Model Highlights
GPT-5.4 nano prioritizes speed and processing economy for focused, high-volume text and image workloads.
Fast Focused Processing
Is optimized for simple, well-scoped tasks where rapid responses and economical execution are primary requirements.
Structured Data Reasoning
Supports classification, extraction and ranking tasks that map large input sets into consistent labels, fields or ordered results.
Large Input Capacity
Accepts up to 400,000 context tokens and image inputs, allowing focused processing across sizeable document collections.
GPT-5.4 nano Use Cases
GPT-5.4 nano is intended for large-scale classification, information extraction and ranking workloads with predictable output requirements.
Large-Scale Classification
Assigns predefined categories to high volumes of messages, documents or images for routing, analytics and moderation pipelines.
Structured Information Extraction
Extracts named fields from text, forms or document images and prepares consistent records for downstream systems.
Content Ranking
Scores and orders search results, recommendations or support items according to explicit relevance criteria.
How to Use GPT-5.4 Nano via the TokenHub API
import OpenAI from "openai"
const client = new OpenAI({
apiKey: process.env.TOKENHUB_API_KEY,
baseURL: "https://us-api.tokenhub.com/v1",
})
const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)GPT-5.4 Nano Benchmarks
| Index score | ||
|---|---|---|
| Artificial Analysis Intelligence Index | Artificial Analysis broad capability aggregate | 38.2 |
| Artificial Analysis Coding Index | Artificial Analysis software task aggregate | 43.9 |
| Knowledge & Reasoning | ||
| GPQA | Advanced science problem solving | 81.7% |
| HLE | Broad expert-level exam set | 26.5% |
| Coding & Engineering | ||
| SciCode | Scientific coding challenges | 46.9% |
| Terminal-Bench Hard | Hard terminal task execution | 42.4% |
| Instruction Following & Agent Tasks | ||
| IFBench | Prompt constraint adherence | 75.9% |
| AA-LCR | Long-context reasoning | 66% |
| τ²-Bench | Agent workflow tasks | 76.0% |
Metrics sourced from Artificial Analysis
GPT-5.4 Nano FAQ
GPT-5.4 Nano: capabilities, use cases, limits, and TokenHub guidance.
Who provides GPT-5.4 Nano?+
GPT-5.4 Nano is a OpenAI model for simple high-volume tasks at the lowest GPT-5.4-class cost.
Who benefits from GPT-5.4 Nano?+
Best for simple extraction and classification, structured data generation and high-volume requests, especially when low-cost scale is the priority.
How does GPT-5.4 Nano stand out?+
Key strength: the lowest-cost GPT-5.4-class option for simple high-volume work.
What are GPT-5.4 Nano's limits?+
It is optimized for simple work and is not the best choice for difficult reasoning or large engineering tasks. For maximum answer quality, consider GPT-5.4 Mini.
Which TokenHub details matter?+
Use the exact ID shown by TokenHub; follow your account docs and verify current features.
Ready to use GPT-5.4 Nano?
Use one API key to access GPT-5.4 Nano and more AI models through TokenHub.
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