
In a recent assessment, developers evaluated three AI modelsโGPT-5.1, Gemini 3.0, and Opus 4.5โacross real-world coding tasks. Users are chiming in with varying feedback, highlighting both strengths and concerns, especially regarding the models' practicality.
Gemini: Followed instructions most literally, showcasing its strength in basic task adherence.
Opus: Delivered cleaner documentation while closely adhering to specifications.
GPT-5.1: Adopted a defensive approach, adding validations not explicitly requested.
Opus: Executed all 10 requirements successfully, proving its thoroughness.
GPT-5.1: Completed 9 out of 10, spotting critical security vulnerabilities.
Gemini: Scored 8 out of 10; users noted it delivered faster outputs but missed some flaws.
Opus: Provided a comprehensive solution with templates for several event types.
GPT-5.1: Focused on understanding the code first before building rich features.
Gemini: Delivered a basic version; users commented it lacked depth compared to competitors.
Feedback on forums shows mixed sentiments about these models.
Some users emphasized the efficiency of Opus, with one remarking:
"Opus was fastest overall, completing tasks in about 7 minutes."
Others praised Gemini's logical capabilities:
"No model has achieved what Gemini has done logic-wise to enhance my thesis."
However, some voiced strong caution:
"Stay the fuck away from anything API. Because that will hurt big time."
Frustrations surfaced when Gemini's changes led to complications:
"Gemini messed it all up when I tried to make changes."
Additionally, some users highlighted the affordability of alternatives like GPT-4.6 for simpler tasks, with one noting:
"Cheap as fuuuuck, just got a full year for $25 on sale!"
๐ Opus: Fastest overall (7 min), consistently delivers thorough solutions.
๐ GPT-5.1: Produces extensive code with added validations, boosting security.
๐ค Gemini: Most affordable but can prove costly in complex scenarios, often requiring extra time for shorter outputs.
As competition between Opus, GPT-5.1, and Gemini heats up, the future looks bright for developers. Community feedback suggests a focus on integrating speed and security. Developers face critical choicesโembrace these advancements or risk lagging behind. As discussions thrive in user boards, which AI model will emerge as the top choice for coding tasks?