AI reporting grounded in research | In-depth paper breakdowns, Model analysis, Structured insights on the latest developments from an engineering perspective.

Joined June 2022
GPT 6.1 sol vs Gemini 4 Pro vs Sonnet 5.5 > As I said in my last post....Gemini nailed this one....you can see the depth and detail it shipped with.......sonnet did pretty good too....especially with the candle....sol didn’t get me there on this one Also.....my bad called it 3.8 Pro in my last post 😭 it’s 3.8 flash
holy shit check this Gemini 4 pro on Arena as Gemini 3.8 pro (Checkpoint 28-Sep-2026) I have also tested same with GPT 6.1 Sol Max and trust me Gemini 4 pro has absolutely nailed it Uploading results of GPT 6.1 Sol Max soon
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Kimi-K3.1 vs Qwen 4 "Pelican Riding a Bicycle" which one is better?
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Qwen 4 is being tested on arena under name "kalmia"
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Same prompt on "kibitz" probably Kimi K3.1 on arena
GPT 6.1 sol vs Gemini 4 Pro vs Sonnet 5.5 > As I said in my last post....Gemini nailed this one....you can see the depth and detail it shipped with.......sonnet did pretty good too....especially with the candle....sol didn’t get me there on this one Also.....my bad called it 3.8 Pro in my last post 😭 it’s 3.8 flash
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Gemini 4 Carbon checkpoint just got updated Hopefully, it’ll be faster now. 🤞
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Mystery model named "kibitz" on arena Probably the upcoming Kimi K3.1
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Gemini 4 Carbon vs Argon > the most impressive output I’ve seen with this prompt > water reflections, dynamic weather, and voxel textures… damn...carbon is so good at voxelbench The fact that it takes 2–3x longer than argon is totally justified by the leap in visual quality🔥
this output is genuinely terrible 💀 > just look at the geometry and overall scene consistency of muse wonder 1.0.....a model ranking at the top of benchmarks and still perform this badly on an actual task
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Gemini 4 Carbon "Pelican Riding a Bicycle" We got flappy wings and pelican nails, wow
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MiniMax M3.1 Flash vs DeepSeek V4.1 Flash 1017 > deepseek took $1.05 for 2 hours 19 minutes > minimax took $0.79 for 2 hours 40 minutes which one is worth the price?
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Here are Minimax M3.1 Flash benchmarks Pricing: + In: $0.15 per million - Out: $0.60 per million ~ Cache: $0.015 per million
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DeepSeek-V4.1-Flash-1017 made Kazuro's Shop > every frame in pure js with different seasons > took $1.05 for 2 hours 19 minutes is it worth the price?
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deepseek-v4.1-flash-1017 vs Opus-5.5 >abandoned village cinematic video all frames in pure js Deepseek cost: $2.5 - 4 hours and Opus cost: $54.2 - 7 hours
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Three new OpenAI Models Found - aurora-red-alpha - aurora-green-alpha - aurora-blue-alpha
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Deepseek v4.1 flash (1017) made this 'Girl waiting fow halloween' scene
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Can Gun by Gemini 4 Argon > each and every skin and overall structure is pure js. Link in comments Deepseek V4.1 Flash 1017 test coming soon
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Deepseek V4.1 flash 1017 is now available > Deepseek v4.1 flash upgraded to Deepseek V4.1 flash 1017 with minimal changes
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Tesla Roadster test drive by Gemini 4 Argon wait for the test drive (SOUND ON) > the doors lift up dihedral style, wing rises and hidden headlights, hit start and the suction fans spool up and blow dust out of the diffuser > Rocket config actually flies, hover, kickflip, barrel roll took 1 hour 31 minutes
Gemini 4 Argon made Tesla Roadster Flips Flies > every frame is pure js > took 4 hours in on High effort
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Forgot to mention.....its pure js
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Gemini 4 Argon made Tesla Roadster Flips Flies > every frame is pure js > took 4 hours in on High effort
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Gemini 4 Argon made this wabi-sabi japanese garden > took 1 hour 10 minutes, blender with high effort
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Opus 5.5 vs Gemini 4 Argon (Muffins trick test) every frontier model was tricked in my last test BUT > opus 5.5 managed to uncover the hidden word this time, a pretty significant improvement over the previous opus 5 test > gemini 4 argon confidently answered TRICKED and didn't picked hidden visual pattern
just tricked almost every frontier AI model with a single image The hidden word is MUFFINS Sol 5.6 , opus 5 , fable 5... almost every model confidently answered TRICKED OCR ≠ visual understanding time to stop benchmarking only on clean text. 👀
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