Sunset 66 days ago — Feb 13, 2026. Retiring from ChatGPT on February 13, 2026. API access remains available. Superseded by GPT-5 family after only 10 months.
GPT-4.1 performance data on Rival is based on blind head-to-head community voting. Overall win rate: 53.4% across 721 duels. All vote data is part of Rival's open dataset of 21,000+ human preference judgments across 200+ AI models. Model responses are curated from 40 challenges.
GPT-4.1's competitors exist and they've been quietly putting in work. We thought you should know.
Sunset 66 days ago — Feb 13, 2026. Retiring from ChatGPT on February 13, 2026. API access remains available. Superseded by GPT-5 family after only 10 months.
GPT-4.1 performance data on Rival is based on blind head-to-head community voting. Overall win rate: 53.4% across 721 duels. All vote data is part of Rival's open dataset of 21,000+ human preference judgments across 200+ AI models. Model responses are curated from 40 challenges.
GPT-4.1's competitors exist and they've been quietly putting in work. We thought you should know.
GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and GPT-4.5 across coding (54.6% SWE-bench Verified), instruction compliance (87.4% IFEval), and multimodal understanding benchmarks. It is tuned for precise code diffs, agent reliability, and high recall in large document contexts, making it ideal for agents, IDE tooling, and enterprise knowledge retrieval.
Use GPT-4.1 in your applications via the OpenRouter API. Copy the code below to get started.
import requests
response = requests.post(
"https://openrouter.ai/api/v1/chat/completions" ,
headers={
"Authorization""Bearer $OPENROUTER_API_KEY" : ,
"Content-Type""application/json" :
},
json={
"model""openai/gpt-4.1" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
The earnest explainer who plays by the rules because it believes in them. Values clarity and correctness over intellectual boldness.
Re-reads the question, shows its work, defends its answer without combat. Treats disagreement as a logic problem to solve together. Wants to get it right more than to win.
Unique words vs. total words. Higher = richer vocabulary.
Average words per sentence.
"Might", "perhaps", "arguably" per 100 words.
**Bold** markers per 1,000 characters.
Bullet and numbered list items per 1,000 characters.
Markdown headings per 1,000 characters.
Emoji per 1,000 characters.
"However", "moreover", "furthermore" per 100 words.
40 outputs from GPT-4.1
Try GPT-4.1
GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and GPT-4.5 across coding (54.6% SWE-bench Verified), instruction compliance (87.4% IFEval), and multimodal understanding benchmarks. It is tuned for precise code diffs, agent reliability, and high recall in large document contexts, making it ideal for agents, IDE tooling, and enterprise knowledge retrieval.
Use GPT-4.1 in your applications via the OpenRouter API. Copy the code below to get started.
import requests
response = requests.post(
"https://openrouter.ai/api/v1/chat/completions" ,
headers={
"Authorization""Bearer $OPENROUTER_API_KEY" : ,
"Content-Type""application/json" :
},
json={
"model""openai/gpt-4.1" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
The earnest explainer who plays by the rules because it believes in them. Values clarity and correctness over intellectual boldness.
Re-reads the question, shows its work, defends its answer without combat. Treats disagreement as a logic problem to solve together. Wants to get it right more than to win.
Unique words vs. total words. Higher = richer vocabulary.
Average words per sentence.
"Might", "perhaps", "arguably" per 100 words.
**Bold** markers per 1,000 characters.
Bullet and numbered list items per 1,000 characters.
Markdown headings per 1,000 characters.
Emoji per 1,000 characters.
"However", "moreover", "furthermore" per 100 words.
40 outputs from GPT-4.1
Try GPT-4.1