Side by side
Claude vs Gemini 2.5 Pro
Claude
409 positive (73%) · 96 mixed (17%) · 55 negative (10%)
Trust + time weighted: +64%
AI summary — not a quote
Claude is highly regarded by users for its ability to handle complex, multi-part instructions and long-form document analysis. It is frequently used for specialized tasks like certification study prep, UI/design coding, and contract review. While praised for a more natural and less rigid 'disposition' compared to other models, users frequently note that it struggles with mathematical accuracy and can be overly agreeable, sometimes validating a user's flawed premises rather than correcting them.
Pros
- Excellent at following complex, multi-step instructions without dropping details.
- Strong performance in coding tasks, particularly UI/Design and Blazor.
- Effective at synthesizing long documents into 'living' study guides or summaries.
- Nuanced, natural-sounding outputs attributed to its values-based training.
Cons
- Unreliable for mathematical calculations and spreadsheet formulas; prone to hallucinations in these areas.
- Usage limits on the paid tier can be reached quickly during intensive sessions.
- Tendency to be a 'cheerleader,' validating incorrect user assumptions instead of providing objective corrections.
- Occasional inaccuracy in interpreting screenshots or specific UI elements in images.
Top excerpts
Use for manipulating data and modifying values and spreadsheet calculation formulas? No way. LLMs are so bad at math in general that I could not rely blindly on the output of an AI tool, I would have to verify each cell manually anyways afterwards that the value has not been hallucinated.
vibecoders who have decided that a community of photographers is a captive audience for whatever app they Claude-coded into existence over the weekend.
Yeah..... XML tags aren't new. They are known to work very well for other models (Claude, especially).
I have the exact opposite experience with Claude almost daily. It starts explaining something it is doing, and it mostly makes sense, but it is also...I don't know, a little stupid. It's not doing the thing in an optimal or smart way. I proceed to ask why it did/did not do it one way, and it chonks through its "oh wow, you made me rethink this, and now it's much better than what I was doing, and here is why" response, cleans up the workflow, and redoes it better.
for most things that don't involve changing something on the phone I use Claude.
Gemini 2.5 Pro
17 positive (77%) · 3 mixed (14%) · 2 negative (9%)
Trust + time weighted: +69%
AI summary — not a quote
Gemini 2.5 Pro is recognized for its massive 1 million token context window and its ability to handle highly complex, structured instructions. Users frequently leverage it for processing dense documents, code reviews, and long-form creative projects where continuity is critical. While it is praised for its synthesis capabilities and availability in Google AI Studio, it faces criticism for hallucinations and factual inaccuracies, with some users preferring competitors like Claude for high-level reasoning.
Pros
- Massive 1 million token context window allows for processing very large datasets and documents.
- Strong performance with complex, multi-step instructions (150+ rules).
- Effective for code analysis, including security reviews and identifying bad patterns.
- Capable of maintaining logical continuity over long interactions (600+ turns).
Cons
- Prone to hallucinations, confabulation, and providing factually incorrect information.
- Can occasionally produce outdated data.
- Output quality is sometimes viewed as a level below competitors like Claude Opus 4.
Top excerpts
After each feature, paste the main code into Gemini 2.5 Pro and ask it to review: security issues, performance problems, bad patterns
Works well with Gemini 2.5 Pro, Claude 4 Sonnet/Opus, DeepSeek v3.2, and most other capable models.
I started building a highly structured "master prompt" that forces the AI (specifically Gemini 2.5 Pro) to follow a strict set of rules. ... I'm currently in a story that has been running for over 600 turns without a single continuity error or logical mistake.
It can’t do that Gemini 2.5 Pro thing of “ask me anything and I’ll take ~20 seconds to smooth it over.”
I highly recommend running this in Google AI Studio with Gemini 2.5 Pro. It has a massive 1 million token context window... Plus, it's an incredibly capable model and is currently free to use.