OpenAI gpt-4.1-2025-04-14
Rank #8
Power: 6229.77
View all Lmarena text generation LLM rankings

💡 What is Model Power?

Model Power = how strong and reliable a model is, based on real people's votes. It combines performance scores with user confidence to give you the most accurate assessment of each model's capabilities.

Looking for the right LLM for your needs?

Discover which model is the best and most suitable for your specific use cases. Our comprehensive analysis of OpenAI gpt-4.1-2025-04-14 text generation LLMs reveals the true performance landscape, powered by millions of real user votes and LMarena Pro ranking system. Whether you're building AI applications, content creation, or research projects, find your perfect match from the world's most advanced language models.

👉 Find My Best-Fit LLM
Compare with gpt-4.1-2025-04-14 best text generation LLMs

📊 Comparison with Top 10 Models

This section compares Rank 8 (gpt-4.1-2025-04-14) with the top 10 best performing models. The coefficient shows the performance difference: Positive coefficient = Better than Rank 8, Negative coefficient = Worse than Rank 8. Coefficient = (Model Power - Rank 8 Power) / Rank 8 Power × 100

o3-2025-04-16 OpenAI
According to user voting, the o3-2025-04-16 model is 6.60% percentage better for text generation compared to gpt-4.1-2025-04-14.
Rank #1
+6.60%
gemini-2.5-pro Google
According to user voting, the gemini-2.5-pro model is 5.81% percentage better for text generation compared to gpt-4.1-2025-04-14.
Rank #2
+5.81%
chatgpt-4o-latest-20250326 OpenAI
According to user voting, the chatgpt-4o-latest-20250326 model is 5.20% percentage better for text generation compared to gpt-4.1-2025-04-14.
Rank #3
+5.20%
gemini-2.5-flash Google
According to user voting, the gemini-2.5-flash model is 2.63% percentage better for text generation compared to gpt-4.1-2025-04-14.
Rank #4
+2.63%
grok-3-preview-02-24 xAI
According to user voting, the grok-3-preview-02-24 model is 2.38% percentage better for text generation compared to gpt-4.1-2025-04-14.
Rank #5
+2.38%
claude-3-7-sonnet-20250219-thinking-32k Anthropic
According to user voting, the claude-3-7-sonnet-20250219-thinking-32k model is 0.64% percentage better for text generation compared to gpt-4.1-2025-04-14.
Rank #6
+0.64%
claude-opus-4-20250514 Anthropic
According to user voting, the claude-opus-4-20250514 model is 0.58% percentage better for text generation compared to gpt-4.1-2025-04-14.
Rank #7
+0.58%
RANK 8
gpt-4.1-2025-04-14 OpenAI
This is the reference model (Rank #8) - all comparisons are relative to this model
Rank #8
0.00%
deepseek-v3-0324 DeepSeek
According to user voting, the deepseek-v3-0324 model is 0.48% percentage worse for text generation compared to gpt-4.1-2025-04-14.
Rank #9
-0.48%
o1-preview OpenAI
According to user voting, the o1-preview model is 1.03% percentage worse for text generation compared to gpt-4.1-2025-04-14.
Rank #10
-1.03%
Compare with gpt-4.1-2025-04-14 similar text generation LLMs

📊 Comparison with Similar Performance Models

This section compares Rank 8 with the 5 best models above it (Ranks 3-7) and 5 worst models below it (Ranks 9-13). The coefficient shows the performance difference relative to Rank 8.

chatgpt-4o-latest-20250326 OpenAI
According to user voting, the chatgpt-4o-latest-20250326 model is 5.20% percentage better for text generation compared to gpt-4.1-2025-04-14.
Rank #3
+5.20%
gemini-2.5-flash Google
According to user voting, the gemini-2.5-flash model is 2.63% percentage better for text generation compared to gpt-4.1-2025-04-14.
Rank #4
+2.63%
grok-3-preview-02-24 xAI
According to user voting, the grok-3-preview-02-24 model is 2.38% percentage better for text generation compared to gpt-4.1-2025-04-14.
Rank #5
+2.38%
claude-3-7-sonnet-20250219-thinking-32k Anthropic
According to user voting, the claude-3-7-sonnet-20250219-thinking-32k model is 0.64% percentage better for text generation compared to gpt-4.1-2025-04-14.
Rank #6
+0.64%
claude-opus-4-20250514 Anthropic
According to user voting, the claude-opus-4-20250514 model is 0.58% percentage better for text generation compared to gpt-4.1-2025-04-14.
Rank #7
+0.58%
RANK 8
gpt-4.1-2025-04-14 OpenAI
This is the reference model (Rank #8) - all comparisons are relative to this model
Rank #8
0.00%
deepseek-v3-0324 DeepSeek
According to user voting, the deepseek-v3-0324 model is 0.48% percentage worse for text generation compared to gpt-4.1-2025-04-14.
Rank #9
-0.48%
o1-preview OpenAI
According to user voting, the o1-preview model is 1.03% percentage worse for text generation compared to gpt-4.1-2025-04-14.
Rank #10
-1.03%
claude-3-5-sonnet-20241022 Anthropic
According to user voting, the claude-3-5-sonnet-20241022 model is 2.07% percentage worse for text generation compared to gpt-4.1-2025-04-14.
Rank #11
-2.07%
gpt-4o-mini-2024-07-18 OpenAI
According to user voting, the gpt-4o-mini-2024-07-18 model is 2.87% percentage worse for text generation compared to gpt-4.1-2025-04-14.
Rank #12
-2.87%
claude-3-5-haiku-20241022 Anthropic
According to user voting, the claude-3-5-haiku-20241022 model is 3.68% percentage worse for text generation compared to gpt-4.1-2025-04-14.
Rank #13
-3.68%