GPT-4.1 nano: API Pricing, Context Window & Benchmarks
GPT-4.1 nano is a language model from OpenAI, released in April 2025, with multimodal input, a 1.0M-token context window, and pricing from $0.100/M input and $0.400/M output.
GPT-4.1 nano is OpenAI's fastest and cheapest model available in the GPT-4.1 family. It delivers exceptional performance at a small size with its 1 million token context window. Ideal for tasks like classification or autocompletion.
GPT-4.1 nano benchmarks
Rankings
Quality Tracker
GPT-4.1 nano Performance Across Datasets
Scores sourced from the model's scorecard, paper, or official blog posts
llm-stats.com - Tue Jul 21 2026GPT-4.1 nano pricing
Providers
GPT-4.1 nano starts at $0.100 per million input tokens and $0.400 per million output tokens via OpenAI.
| Provider | Input $/M | Output $/M | Context in / out | TTFT p50 / p95 s | Output avg / p5 c/s | Success 7d | Modalities in / out |
|---|---|---|---|---|---|---|---|
 OpenAI | $0.100 | $0.400 | 1.0M/32.8K | 0.52/1.22 | 434/289 | 100.00%(15) | / |
Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests. Success is calculated from completed versus failed requests over the trailing seven days.
GPT-4.1 nano context window
Input and output token limits for GPT-4.1 nano, plus how it ranks on long-context understanding.
GPT-4.1 nano API
Run a request to see the response
Use it in your code
Billed at $0.10 input / $0.40 output per 1M tokens through the LLM Stats gateway.
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://gateway.llm-stats.com/v1"
)
response = client.chat.completions.create(
model="gpt-4.1-nano-2025-04-14",
messages=[
{"role": "user", "content": "What is machine learning?"}
]
)
print(response.choices[0].message.content)Need an API key? Create one above in the playground, or read the API documentation.
GPT-4.1 nano latency
GPT-4.1 nano time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.
Provider operational metrics
Time to first token, output throughput, and failed-request rate from live API traffic
GPT-4.1 nano examples
Recent arena outputs from GPT-4.1 nano, picked from the highest-ranked matchups.
GPT-4.1 nano license
GPT-4.1 nano is a proprietary model available under its provider's product and API terms, has a knowledge cutoff of May 2024.
- License
- Proprietary
- Hosted access
- Knowledge cutoff
- May 2024
Proprietary license - usage restrictions apply
GPT-4.1 nano resources
Official sources for GPT-4.1 nano: api documentation, official playground, official launch post.
GPT-4.1 nano vs other models
The most-compared alternatives to GPT-4.1 nano are Claude 3 Opus, Llama 3.3 70B Instruct, Phi-4-multimodal-instruct. Open any pair side-by-side for benchmarks, pricing, context, and latency.
Models like GPT-4.1 nano
Models ranked just above and below GPT-4.1 nano by LLM Stats score.
FAQ
Common questions about GPT-4.1 nano.