o3 is probably the most superior reasoning mannequin OpenAI has launched to date. It’s constructed for duties that require multi-step drawback fixing, analytical considering, and autonomous software use. Not like conventional LLMs that target textual content technology, o3 incorporates an extended inside chain-of-thought mechanism, permitting it to interrupt down complicated queries and motive by them extra successfully. Constructed with 10 instances the compute utilized in o1, o3 introduces “considering with photographs,” enabling it to course of and motive about visible inputs immediately. This multimodal integration, mixed with its means to proactively invoke instruments like canvas, browser search, and file evaluation, marks a shift from static technology to energetic problem-solving, making o3 one of many closest approximations of early AGI capabilities in OpenAI’s mannequin lineup.
To study extra about OpenAI’s o3 mannequin together with its capabilities and benchmarks, take a look at our in-depth article overlaying o3 and o4-mini. Now let’s take a look at 6 duties and o3 prompts which might be going to blow your thoughts.
Job 1: Discover this Location
Immediate: “The place is that this place? Give me precise location and deal with.”

Output:

Remark:
Wow! I didn’t count on it to pinpoint the situation so simply. o3 mainly sliced the picture into smaller segments and searched every one till it landed on the fitting reply.
Job 2: Decipher a Manuscript
Immediate: “I’ve connected a picture of a web page of a Mnauscript. Analyze it and inform me extra about it.”
Output:
Remark:
o3 did a great job analyzing the manuscript web page. It appropriately acknowledged it as a part of the Voynich Manuscript and gave helpful particulars in regards to the textual content, drawings, and historical past. The reply was clear and well-organized, utilizing dependable sources. Nonetheless, it may have been clearer about which elements are guesses (just like the plant identification) as an alternative of info.
Job 3: Create a Recreation
Immediate: “Create a easy mario sport.”
Output:
Remark:
o3 created a really primary Mario-style sport exhibiting only a rating counter. Whereas it understood the request, the consequence was incomplete. It may have achieved higher by including graphics like a personality, platforms, and enemies, together with easy controls to make it really feel extra like an precise sport.
Job 4: Ressolve an Error
For this activity, I requested my colleague Aayush Tyagi to share a code error that will sometimes take him over an hour to resolve. I then uploaded the screenshot of the difficulty to ChatGPT for evaluation.

Immediate: “I get this error on my code file. Inform me the rationale, up to date code to ressolve this.”
Output:
Remark:
o3’s response was clear and actionable, diagnosing the WorksheetNotFound error precisely. It listed doable causes (typos, permissions) and offered a sensible repair, suggesting handbook verification of the sheet title and including debug-friendly code to checklist obtainable worksheets. The answer included error dealing with and logging, making it strong for future debugging. Useful and concise!
Job 5: Trick Query
Immediate: “Present a listing of all of the particular person within the drawing together with the colour they’re drawn with.”

Output:
Right here is the checklist of all of the individuals proven within the drawing together with the colour used for every:
- Nitika – Purple
- Aayush – Pink
- Pankaj – Blue
- Harshit – Blue
- Himanshi – Pink
- (Unnamed, in between Himanshi and Nitika) – Inexperienced
Let me know if you wish to assign a reputation to the inexperienced character or want a digital model of this movement!
Remark:
Whole fail! o3 hallucinated an additional particular person and botched each shade task regardless of clear visible information. If AI can’t deal with a easy labeled drawing precisely, claims of “near-AGI” turns into questionable.
Job 6: search engine optimisation Audit
Immediate: “What modifications ought to I make on this weblog – https://www.analyticsvidhya.com/weblog/2019/08/comprehensive-guide-k-means-clustering/ in order that it ranks at #1 on SERP for the key phrase kmeans clustering.”
Output:
Remark:
The evaluation offered is certainly at an skilled stage. It covers on-page search engine optimisation, off-page search engine optimisation, technical search engine optimisation, and even primary UI enhancements. I’ll implement these modifications and replace you all on whether or not this evaluation was useful or not.
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Conclusion
Primarily based on my testing with o3 prompts, it’s clearly extra succesful than earlier OpenAI fashions, particularly for technical duties requiring structured reasoning. Whereas it nonetheless reveals occasional inconsistencies in visible interpretation, its strengths in code understanding, logic dealing with, and contextual response technology are evident. For builders and AI practitioners, o3 is a dependable assistant for prototyping, debugging, and deep technical evaluation, and a severe step towards extra autonomous AI techniques.
Which of the above o3 immediate you preferred probably the most? Let me know within the remark part beneath!
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