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AI Models
Not all models are created equal. This is a curated database of the specific models I use and trust, broken down by their true capabilities, speed, and cost.
Aurora by xAI
Grok Imagine Video 1.5
Maintains its unique artistic style even in motion.
"I don't use this for photorealistic stock footage, but it's fantastic for bringing stylized or artistic images to life. The June 2026 update makes animating those stylized images remarkably easy."
Grok Imagine (Aurora)
An unpredictable but highly creative engine that occasionally outshines more rigid generators.
"Grok's image engine remains a hit-or-miss tool, but it deserves an honorable mention. If you need physics-accurate photorealism, go elsewhere. But for highly creative or abstract motifs, Grok often surprises you with the most interesting result."
Claude 4 by Anthropic
Claude Sonnet 5
Near-Opus reasoning at Sonnet speed and cost, with a real jump in agentic ability.
"I've been running Sonnet 5 against Opus 4.8 on real tasks this week, and it's closer than any Sonnet generation has been before. It's become agentic in a way earlier Sonnets weren't — it strings together more tool calls, sticks with harder problems longer, and rarely needs me to step in and redirect it. For most Claude work, this is the model to reach for by default."
Claude Opus 4.8
Excellent writing style and deep reasoning capabilities.
"Opus used to be my clear go-to for complex architectural work, but between Anthropic's newer tiers and how good Sonnet 5 has gotten, it's been squeezed into a narrower niche. Still incredible at writing and still worth reaching for on the hardest problems."
Claude Haiku 4.5
Near-instant response times for low-complexity prompts.
"Haiku isn't meant for writing poetry or solving hard math. It's meant to be a rapid-fire processor. I use it to parse messy text, summarize long documents quickly, and handle routine categorization."
Gemini 3 by Google
Gemini 3.5 Flash
Blazing fast speed combined with strong multimodal understanding.
"I use 3.5 Flash for some of my work. It's great for analyzing my UX/UI designs and for writing consistent copy across multiple languages. It's blazing fast, though I switch to stronger model for the truly difficult logic problems."
Gemini 3.1 Pro
Natively multimodal architecture with a massive 2 million token context window.
"3.1 Pro is my choice for challenging work where I need a second or third opinion. Its massive context window means I can just dump an entire codebase or project folder into it and ask high-level architectural questions."
Gemma 4 by Google
Gemma 4 27B
A step up in reasoning capability while remaining locally runnable.
"When I need a bit more brainpower than the 12B can offer, I spin up the 27B variant. It's noticeably smarter for logic tasks, though you feel the hardware requirements a bit more."
Gemma 4 12B
Natively multimodal and small enough to run fast on consumer hardware.
"I run this locally on my computer. It's smart enough for most admin and copy work, and the fact that it's multimodal means I can use it for local automation tasks without sending any data to the cloud."
OpenAI o-series by OpenAI
OpenAI o4-mini
Brings step-by-step reasoning capabilities to a budget-friendly price point.
"A solid middle ground. If I need something to run a basic logical check or parse some structured data reliably without paying the premium o3 tax, this does the job nicely."
OpenAI o3
Uses internal 'thinking tokens' to break down complex problems step-by-step.
"When I hit a wall with a complex coding problem or a logical puzzle that other models fail on, o3 is the heavy artillery I bring in. It's too slow and expensive for daily chat, but invaluable for the hard stuff."
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