CoreAI Blog

Thinking Machines built Inkling models for structured reasoning, not just fluent answers. Here's how to use both variants on CoreAI—with the prompts, workflows, and comparison strategies that actually

Most writing sessions stall on busywork, not creativity. Here are 70+ free AI tools that handle summaries, rewrites, SEO titles, and tone — so you can ship the draft instead of endlessly tweaking it.

MiniMax M3 and M2.7 handle code differently under pressure. Here's how to test both on your real tasks—same prompt, side-by-side—and pick the one that ships.

GPT-6 Astra and Astra Pro aren't just "good" and "better." They're tuned for different tradeoffs—and picking wrong costs you time. Here's how to choose based on real work, not vibes.

Five Mistral models, one app, zero guesswork. Here's how to test Medium 3.5 against Small 4 on real prompts—and pick the right model for coding, docs, and research in 2026.

DeepSeek V4 ships two distinct models and a vision variant — but picking the right one depends on your task. Here's how to test all three under one roof and stop guessing.

Mistral Medium 3.5 and Small 4 are both strong coding models, but they fail in different ways. Here's how to pair them for a workflow that actually ships patches.

Mistral Medium 3.5 earns its place in 2026 workflows when you pair it with disciplined prompts and the right mode. Here's how to turn it into a production tool — with templates, real workflows, and si

Three Mistral models, one interface, zero guesswork. Here's how to test, compare, and deploy the right Mistral model for every task on CoreAI in 2026.

Five Tencent models, one subscription, and a clear decision framework. This guide shows you exactly when to use Hy3, when to upgrade to Hy4 preview, and when the smaller variants save you money withou

MoonshotAI's Kimi K3 doesn't just "see" images and documents—it remembers what you asked three turns ago. Here's how it actually performs when multimodal chat becomes a multi-step workflow.

Two of 2026's most talked-about reasoning models go head-to-head on coding, complex Q&A, and iteration cost. Here's how to test them on your actual work—not benchmarks.