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GPT-4.1 Nano Pricing

OpenAI · The cheapest OpenAI model. Excellent for classification, extraction, and simple

TL;DR
Price: $0.10/1M input · $0.40/1M output
Context: 1M · max 8,192 output
Cost advantage: Up to 70% cheaper than official API
Access: OpenAI-compatible · No credit card · Instant API key

Save up to 70% on GPT-4.1 Nano API cost

Same model, same quality — pay less per token than the official API. Pay-as-you-go, no credit card required.

From $0.10/1M
input token price
INPUT
$0.10
/1M tokens
OUTPUT
$0.40
/1M tokens
CONTEXT
1M

Other OpenAI Models

GPT-5.5
$5.00 / $30.00
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GPT-5.4
$2.50 / $15.00
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GPT-4.1
$2.00 / $8.00
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GPT-4.1 Mini
$0.40 / $1.60
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GPT-4o
$2.50 / $10.00
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GPT-4o Mini
$0.15 / $0.60
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o3
$2.00 / $8.00
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o4-mini
$1.10 / $4.40
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o3-pro
$20.00 / $80.00
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GPT-4 Turbo
$10.00 / $30.00
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Text Embedding 3 Large
$0.13 / $0.13
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Sora 1
$0.50 / $2.00
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GPT-4.1 Nano Pricing Context

Pricing position within OpenAI

GPT-4.1 Nano is the cheapest active model in OpenAI's lineup at $0.10/1M input — no sibling undercuts it. The most expensive sibling costs $20.00/1M (19900% more). At scale, routing high-volume calls here vs the flagship saves significantly.

When GPT-4.1 Nano is worth the cost

GPT-4.1 Nano is used for general-purpose text tasks — chat, summarization, drafting, classification, and extraction. Function calling extends it to agent-style workflows where it invokes external APIs. For specialized workloads (coding, reasoning, vision), a purpose-tuned sibling may perform better.

Cost vs sibling models

What makes GPT-4.1 Nano different from sibling models: compared to GPT-5.5 ($4.90/1M more expensive, 256K vs 1M context (smaller)); GPT-5.4 ($2.40/1M more expensive, 256K vs 1M context (smaller)); GPT-4.1 ($1.90/1M more expensive, same 1M context). Choose GPT-4.1 Nano when cost per token is the priority.

Real-world cost scenarios

Real-world deployments: customer support chatbots, content drafting and summarization, classification pipelines, and extraction workflows. GPT-4.1 Nano handles the standard text-in/text-out case reliably — route specialized tasks (vision, coding, reasoning) to purpose-tuned siblings.

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