---
title: "GPT-4.1-nano — LLM-TEST.com"
url: /models/gpt-4-1-nano/
canonical_url: https://llm-test.com/models/gpt-4-1-nano/
language: en
type: model
summary: "The smallest and cheapest GPT-4.1 model, built for the highest-throughput, lowest-cost tasks. Best for simple classification, routing and extraction where every token counts."
last_updated: "2026-11-05"
---

# GPT-4.1-nano

_OpenAI · Budget_

The smallest and cheapest GPT-4.1 model, built for the highest-throughput, lowest-cost tasks. Best for simple classification, routing and extraction where every token counts.

## At a glance

- Released: Apr 14, 2025
- Provider: OpenAI
- Context window: 1,000,000 tokens
- Max output: 16,000 tokens
- Modalities: Text → text
- Knowledge cutoff: June 2024
- API model ID: `gpt-4.1-nano`
- License: Proprietary (API only)

## Pricing

- Standard: $0.10 input / $0.40 output per 1M tokens
- Batch: $0.05 input / $0.20 output per 1M tokens
- Example: a 1,500-token prompt + 650-token answer ≈ $0.0004 (standard)

## What's new vs GPT-4.1-mini (April 2025)

- Lowest cost and latency in the 4.1 family
- Retains the large context window
- High throughput for batch workloads
- Reduced reasoning depth
- Smaller output ceiling and text-only

## Best use cases

- **Bulk classification** — Labels enormous volumes of text at minimal cost.
- **Routing** — Decides fast, cheap routing in pipelines.
- **Simple extraction** — Pulls fields from text where precision needs are modest.

## Strengths

- Rock-bottom cost
- Large context
- Very fast
- High throughput

## Limitations

- Shallow reasoning
- Text-only, small output

## Where to get access

- Consumer app: ChatGPT (web, desktop, mobile) — https://chatgpt.com
- API: the OpenAI Platform — https://platform.openai.com
- Also available: Microsoft Azure OpenAI Service
- Docs: https://platform.openai.com/docs

Full comparison and live pricing: https://llm-test.com/ · directory: https://llm-test.com/models/