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GPT 4.1 Nano
GPT-4.1 nano is the fastest and cheapest model in OpenAI's GPT-4.1 series. It has a 1 million token context window and offers excellent performance in a compact size. It is very suitable for tasks such as classification or autocomplete.
Intelligence(Medium)
Speed(Medium)
Input Supported Modalities
Yes
Is Reasoning Model
1,000,000
Context Window
32,768
Maximum Output Tokens
2024-05-31
Knowledge Cutoff
Pricing
￥0.72 /M tokens
Input
￥2.88 /M tokens
Output
￥1.26 /M tokens
Blended Price
Quick Simple Comparison
GPT-5‑pro
gpt‑oss‑120b
GPT-4.1 mini
￥0.4
Basic Parameters
GPT-4.1 nanoTechnical Parameters
Parameter Count
Not Announced
Context Length
1.0M tokens
Training Data Cutoff
2024-05-31
Open Source Category
Proprietary
Multimodal Support
Text, Image
Throughput
200
Release Date
2025-04-14
Response Speed
131.29,388 tokens/s
Benchmark Scores
Below is the performance of GPT-4.1 nano in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
41.01
Large Language Model Intelligence Level
Coding Index
29.26
Indicator of AI model performance on coding tasks
Math Index
54.23
Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks
MMLU Pro
65.7
Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video
GPQA
51.2
Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions
HLE
3.9
The model's comprehensive average score on the Hugging Face Open LLM Leaderboard
LiveCodeBench
32.6
Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems
SciCode
25.9
The model's capability in code generation for scientific computing or specific scientific domains
HumanEval
87.7
Score achieved by the AI model on the specific HumanEval benchmark test set
Math 500 Score
84.8
Score on the first 500 larger, more well-known mathematical benchmark tests
AIME Score
23.7
An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)
GPT 5 Mini
openai
￥1.8
Input tokens/million
￥14.4
Output tokens/million
400k
Context Length
GPT 5 Standard
openai
￥63
Input tokens/million
￥504
Output tokens/million
400k
Context Length
GPT 5 Nano
openai
￥0.36
Input tokens/million
￥2.88
Output tokens/million
400k
Context Length
GPT 5
openai
￥9
Input tokens/million
￥72
Output tokens/million
400k
Context Length
GLM 4.5
chatglm
￥0.43
Input tokens/million
￥1.01
Output tokens/million
131k
Context Length
Gemini 2.0 Flash Lite (Preview)
google
￥0.58
Input tokens/million
￥2.16
Output tokens/million
1M
Context Length
Gemini 1.0 Pro
google
￥3.6
Input tokens/million
￥10.8
Output tokens/million
33k
Context Length
Qwen2.5 Coder Instruct 32B
alibaba
￥0.65
Input tokens/million
￥0.65
Output tokens/million
131k
Context Length