GPT-4.1 nano
Specs & Pricing
API pricing per 1M tokens and core technical specificationsCost Calculator
Simulate estimated API usage cost based on your specific traffic and context sizeSimulation Results
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Alternative Models
Models with comparable benchmark score and pricing tier| Model | Provider | Context Window | Max Output | Training Cutoff | Input / 1M | Cache Price / 1M | Output / 1M | Benchmark | Speed | Total |
|---|---|---|---|---|---|---|---|---|---|---|
xAI | 2M | - | - | $0.20 | $0.05 | $0.50 | 73.25 | Blazing Fast | $0.0040 | |
Google | 1M | 65K | 2025-01 | $0.10 | $0.01 | $0.40 | 71.5 | Blazing Fast | $0.0032 | |
OpenAI | 400K | 128K | 2024-05 | $0.05 | $0.005 | $0.40 | 59.75 | Blazing Fast | $0.0017 | |
xAI | 131K | - | - | $0.30 | $0.07 | $0.50 | 58.75 | Fast | $0.0051 | |
OpenAI | 128K | 16K | 2023-10 | $0.15 | $0.075 | $0.60 | 58.25 | Fast | $0.0040 |
Provider
Benchmark
73.25Speed
Blazing Fast
Training Cutoff
-
Context Window
2M
Max Output
-
Input / 1M
$0.20
Cache Price / 1M
$0.05
Output / 1M
$0.50
Provider
Benchmark
71.5Speed
Blazing Fast
Training Cutoff
2025-01
Context Window
1M
Max Output
65K
Input / 1M
$0.10
Cache Price / 1M
$0.01
Output / 1M
$0.40
Provider
Benchmark
59.75Speed
Blazing Fast
Training Cutoff
2024-05
Context Window
400K
Max Output
128K
Input / 1M
$0.05
Cache Price / 1M
$0.005
Output / 1M
$0.40
Provider
Benchmark
58.75Speed
Fast
Training Cutoff
-
Context Window
131K
Max Output
-
Input / 1M
$0.30
Cache Price / 1M
$0.07
Output / 1M
$0.50
Provider
Benchmark
58.25Speed
Fast
Training Cutoff
2023-10
Context Window
128K
Max Output
16K
Input / 1M
$0.15
Cache Price / 1M
$0.075
Output / 1M
$0.60
All AI Models Pricing & Cost Simulator
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GPT-4.1 nano Frequently Asked Questions (FAQ)
Key insights into GPT-4.1 nano API pricing, context capacity, caching savings, and performance benchmarks
Q. What is the API pricing for GPT-4.1 nano? How much does it cost per 1M tokens?＋
GPT-4.1 nano (OpenAI) is priced at $0.1000 per 1 million input tokens and $0.4000 per 1 million output tokens. The output rate is approximately 4.0x higher than the input rate. You can simulate your exact monthly API expenses tailored to your request volume and token length using the calculator above.
Q. What are the context window and maximum output limits of GPT-4.1 nano?＋
GPT-4.1 nano features a 1M context window and a maximum output limit of 32K tokens per request. This massive 1M+ context capacity allows you to process extensive document libraries or entire codebases in a single prompt.
Q. Does GPT-4.1 nano support Prompt Caching, and how much cost can be saved?＋
Yes, GPT-4.1 nano supports prompt caching. Cached reads cost $0.0250 per 1M tokens, delivering an estimated 75% discount compared to standard input rates. (Minimum cache threshold: 1K) Caching reusable system instructions and documentation substantially lowers recurring API expenses.
Q. What is the benchmark score (59.25) and performance profile of GPT-4.1 nano?＋
GPT-4.1 nano achieves an overall benchmark score of 59.25/100 with a "Blazing Fast" speed rating. It is optimized for high-throughput, low-latency applications requiring budget-conscious performance.
Q. Which alternative models are comparable to GPT-4.1 nano?＋
Key alternatives in similar price-to-performance tiers include grok-4-1-fast-non-reasoning, Gemini 2.5 Flash-Lite, GPT-5-nano. We recommend comparing them based on your latency targets, context window needs, and prompt caching benefits using the full comparison tool on this site.