OpenAI

GPT-4.1 Nano — Benchmark Scores, Pricing & Performance Analysis

BUDGETOpenAI
Chatbot Arena ELO
1120
Output Speed
200 tok/s
Input Cost
$0.10/1M
Output Cost
$0.40/1M
Context Window
1.0M
Max Output
33K
Knowledge Cutoff
Jun 2024
Accepts
image, text, file

GPT-4.1 Nano by OpenAI demonstrates fast output speed, competitive pricing. View detailed benchmark data including scores across coding, math, reasoning, speed, and cost metrics.

Specifications last checked against the provider on . Benchmark scores carry their own source, linked beside each number.

General Benchmarks

MMLU-Pro
55.0%63rd of 66

Massive Multitask Language Understanding professional benchmark

HuggingFace Leaderboard
Chatbot Arena ELO
112073rd of 74

Human preference ELO from blind head-to-head votes

LMSYS / HuggingFace

Coding Benchmarks

Website Arena ELO
98599th of 108

Human preference ELO for building a working web page from a brief

Design Arena (via OpenRouter)
LiveCodeBench
22.0%63rd of 66

Live competitive programming benchmark

livecodebench.github.io
HumanEval+
65.0%64th of 66

Code generation correctness with extended tests

Papers
SWE-bench Verified
18.0%64th of 67

Real-world software engineering task resolution

swebench.com
AA Coding Index
11.190th of 96

Artificial Analysis composite coding score

Artificial Analysis (via OpenRouter)
Design Arena ELO
958113th of 120

Human preference ELO for building things — websites, UI, games, charts, SVG

Design Arena (via OpenRouter)

Math Benchmarks

GSM8K
78.0%63rd of 66

Grade school math word problems

Papers
MATH
55.0%63rd of 66

Competition mathematics problem solving

Papers

Reasoning Benchmarks

τ²-Bench Airline
10.3%93rd of 93

Multi-turn service agent making tool calls under strict policy constraints

OpenRouter (measured)
ARC-AGI
10.0%57th of 66

Abstraction and Reasoning Corpus for general intelligence

arcprize.org
GPQA Diamond
50.9%113th of 140

Graduate-level science Q&A by domain experts

Papers

Speed Benchmarks

Time to First Token
90 ms4th of 92

Latency before first token arrives

Aggregated
Output Speed
200 tok/s8th of 94

Tokens generated per second

Aggregated

Cost Benchmarks

Input Cost
$0.10114th of 413

Cost per 1M input tokens

OpenRouter API
Cached Input Cost
$0.0318th of 136

Cost per 1M cached input tokens — the price that actually applies to a long agent conversation

OpenRouter API
Output Cost
$0.40143rd of 413

Cost per 1M output tokens

OpenRouter API

Context Benchmarks

Context Length
1.0M48th of 451

Maximum context window size

OpenRouter API

Available from 22 providers

The same model costs different amounts depending on who serves it. You can bring your own key for 4 of these — connect it here.

ProviderInput / 1MOutput / 1MCached inContextYour key
SAP AI Core$0.08$0.26—1.0M—
Poe$0.09$0.36$0.0221.0M—
302.AI$0.1$0.4—1.0M—
Abacus$0.1$0.4$0.0251.0M—
Azure$0.1$0.4$0.0251.0MSupported
Azure Cognitive Services$0.1$0.4$0.0251.0M—
Cloudflare AI Gateway$0.1$0.4$0.0251.0M—
DevPass (LLM Gateway)$0.1$0.4$0.0251.0M—
Eden AI$0.1$0.4$0.0251.0M—
Impossibl$0.1$0.4$0.0251.0M—
Kilo Gateway$0.1$0.4$0.0251.0M—
LLM Gateway$0.1$0.4$0.0251.0M—
Merge Gateway$0.1$0.4$0.0251.0M—
NanoGPT$0.1$0.4$0.0251.0M—
NEAR AI Cloud$0.1$0.4$0.0251.0M—
OpenAI$0.1$0.4$0.0251.0MSupported
OpenRouter$0.1$0.4$0.0251.0MSupported
OrcaRouter$0.1$0.4$0.0251.0M—
Pioneer$0.1$0.4$0.051.0M—
Vercel AI Gateway$0.1$0.4$0.0251.0MSupported
Requesty$0.11$0.44$0.02751.0M—
Cortecs$0.111$0.434$0.0561.0M—

GPT-4.1 Nano — Benchmark Scores Overview

Scores normalized to percentage scale for visual comparison. ELO scores mapped to 0-100 range (1100-1500).

GPT-4.1 Nano — Frequently Asked Questions

How intelligent is GPT-4.1 Nano?

GPT-4.1 Nano scores 1120 on the Chatbot Arena ELO rating, making it an entry-level AI model. This score is based on blind head-to-head human preference voting.

How much does GPT-4.1 Nano cost?

GPT-4.1 Nano costs $0.10 per 1M input tokens and $0.40 per 1M output tokens. This makes it one of the more affordable models.

How fast is GPT-4.1 Nano?

GPT-4.1 Nano generates output at 200 tokens per second, which is very fast compared to other models. The time to first token is 90 ms.

How good is GPT-4.1 Nano at coding?

GPT-4.1 Nano achieves 18.0% on SWE-bench Verified, demonstrating basic real-world software engineering capability. This benchmark tests the model's ability to resolve actual GitHub issues.

How good is GPT-4.1 Nano at math and reasoning?

GPT-4.1 Nano scores 55.0% on the MATH benchmark (competition-level mathematics). It also achieves 50.9% on GPQA Diamond, a graduate-level science reasoning benchmark.

What is the context window of GPT-4.1 Nano?

GPT-4.1 Nano has a context window of 1.0M tokens. This determines how much text, conversation history, and code the model can process in a single request.

Who created GPT-4.1 Nano?

GPT-4.1 Nano was created by OpenAI. It is classified as a budget model in our catalogue.

Is GPT-4.1 Nano open source?

No, GPT-4.1 Nano is a proprietary model. It is available through OpenAI's API and compatible providers.