GPT-4.1 nano
Efficient
Smallest, cheapest member of the GPT-4.1 family. The OpenAI choice when latency and per-token cost dominate quality.
GPT-4.1 nano is a efficient AI model from OpenAI. It costs $0.100 per million input tokens and $0.400 per million output tokens (blended $0.190/M), with a 1,000,000-token context window.
INPUT
$0.100/M
per million input tokens
OUTPUT
$0.400/M
per million output tokens
CONTEXT
1,000,000
tokens
What it is good at
- Lowest GPT-4.1 cost
- Very fast
- 1M context still
Typical use cases
- Bulk classification
- Realtime UX
- Cheap routing layer
Benchmarks
vs. best public score
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.
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Frequently asked questions
How much does GPT-4.1 nano cost?
GPT-4.1 nano costs $0.100 per million input tokens and $0.400 per million output tokens, for a blended reference rate of $0.190 per million tokens.
What is GPT-4.1 nano's context window?
GPT-4.1 nano supports up to 1,000,000 tokens of context in a single request.
What is GPT-4.1 nano best for?
GPT-4.1 nano is well suited to Lowest GPT-4.1 cost, Very fast and 1M context still.
Who makes GPT-4.1 nano?
GPT-4.1 nano is developed and served by OpenAI. It was released in Apr 2025.