GPT-5 Mini vs GPT-5

Compare GPT-5 Mini and GPT-5, both from OpenAI, in 20 community votes, gpt-5 wins 56% of head-to-head duels, tested across 45 shared challenges. Updated April 2026.

Which is better, GPT-5 Mini or GPT-5?

GPT-5 is the better choice overall, winning 56% of 20 blind community votes on Rival. GPT-5 Mini costs $0.25/M input tokens vs $1.25/M for GPT-5. Compare their real outputs side by side below.

Key Differences Between GPT-5 Mini and GPT-5

GPT-5 Mini is made by openai while GPT-5 is from openai. On pricing, GPT-5 Mini costs $0.25/M input tokens vs $1.25/M for GPT-5. In community voting, In 20 community votes, GPT-5 wins 56% of head-to-head duels.

In 20 community votes, GPT-5 wins 56% of head-to-head duels. GPT-5 Mini leads in Image Generation, Conversation, while GPT-5 leads in Reasoning, Web Design. Based on blind community voting from the Rival open dataset of 20+ human preference judgments for this pair.

Reasoning: GPT-5 wins 67% of votes
Image Generation: GPT-5 Mini wins 75% of votes
Conversation: GPT-5 Mini wins 67% of votes
Web Design: GPT-5 wins 100% of votes
Our Verdict
GPT-5
GPT-5Winner
GPT-5 Mini
GPT-5 MiniRunner-up

GPT-5 has the edge overall. In 20 blind votes, GPT-5 wins 56% of the time.

Pick GPT-5 Mini for Image Generation, Conversation. Pick GPT-5 for Web Design, Reasoning. GPT-5 Mini is 5.0x cheaper per token — worth considering if cost matters.

Slight edge
Writing DNA

Style Comparison

Similarity
92%

GPT-5 uses 18.9x more bold

GPT-5 Mini
GPT-5
62%Vocabulary65%
21wSentence Length13w
0.16Hedging0.20
0.0Bold0.2
3.4Lists4.6
0.00Emoji0.00
0.00Headings0.16
0.05Transitions0.03
Based on 15 + 16 text responses
vs

Ask them anything yourself

GPT-5 MiniGPT-5

Some models write identically. You are paying for the brand.

178 models fingerprinted across 32 writing dimensions. Free research.

Model Similarity Index

185x

price gap between models that write identically

178

models

12

clone pairs

32

dimensions

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GPT-5.4 / Mini
93.3%

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We read every word. 250 models. 2.14 million words. This is what we found.

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