My current stack, favorite models, and the tools I actually use every day. Updated as things change, which is constantly.

Last updated: June 2026

Fable 501

Fable 5

anthropicfrontieractive

Anthropic's latest and strongest frontier model, and the Anthropic model I'm actively using right now. Best when I want Claude-style taste, speed, and agentic coding instincts with the newest reasoning ceiling.

Pros

Latest Anthropic frontier model

Strong for agentic coding and product work

Excellent taste for UI and writing

High ceiling on hard reasoning tasks

Cons

New enough that pricing and behavior may shift

Worth reserving for complex or high-leverage work

GPT-5.502

GPT-5.5

agenticdeep reasoningcoding

My default OpenAI model. Best at long-running agentic coding tasks. Slower and more deliberate. Thinks before it acts, takes time to understand the codebase. Doesn't default to action like Opus. The model you want for complex backend work.

Pros

Best for complex, multi-step coding tasks

Deliberate, thinks before acting

Strong at understanding large codebases

Cons

Slower than Opus

UI output not as polished

Claude Opus 4.803

Claude Opus 4.8

uifast1m context

Still one of the best at UI and front-end work. Nicest to talk to: natural, fluid, pleasant. 1M token context window. Fast, prone to action. Very expensive on API, incredible value on a subscription.

Pros

Best at UI and frontend code

1M token context window

Natural, fluid conversation style

Fast and action-oriented

Cons

Very expensive on API

Can be too eager to act before thinking

Grok 4.304

Grok 4.3

tool callingcheap1m context

Very solid model, right on the Pareto frontier for intelligence and cost. State of the art at tool calling, with a 1M token context window and extremely aggressive API pricing.

Pros

State-of-the-art tool calling

Excellent intelligence per dollar

1M token context window

Very low API pricing

Cons

Not frontier for coding

xAI ecosystem is less mature than Anthropic and OpenAI

Gemini 3.1 Pro05

Gemini 3.1 Pro

multimodallong context

The multimodal leader. Best for video, images, and massive documents. Useful when you need to process visual content or very large files.

Pros

Best multimodal capabilities (video, image, audio)

Excellent at structured output from messy input

Huge context window

Cons

Unreliable at tool calling in agent loops

Less predictable in complex harnesses

Kimi K2.506

Kimi K2.5

open sourcecheapsmart

90% of Opus intelligence at a fraction of the cost. Open source. The sleeper pick if you need near-frontier reasoning without frontier pricing.

Pros

Near-frontier intelligence, fraction of the cost

Open source

Great value for high-volume workloads

Cons

Not quite frontier on the hardest tasks

Smaller ecosystem and tooling