News & guides
Model Release Cadence in 2026: Building for a Moving Target
Four major open-weight releases in four months. What that pace does to your evaluation harness, your version pins and your migration budget.
· 9 min read
Model Selection for Cost Ceilings: Working Backwards From a Budget
When the budget is fixed before the model is chosen, selection inverts. How to derive a per-request token allowance and pick what fits inside it.
· 9 min read
Model Size vs Capability: Why Bigger Stopped Meaning Better
Parameter counts once tracked capability closely and no longer do. What size still predicts, what it never predicted, and what to check instead.
· 9 min read
Models That Fit on One GPU: What You Can Actually Run
The single-accelerator threshold decides your whole deployment. Which 2026 models clear it, how to do the memory arithmetic, and what you give up.
· 9 min read
Multi-Head Latent Attention Explained
MLA compresses the KV cache into a small latent vector instead of sharing heads. Why it trades compute for memory, and which models bet on it.
· 9 min read
Multi-Model Strategies: Splitting Work Across Two or Three Models
One model for everything is simple and usually wasteful. How to split a workload by difficulty, and when the routing complexity is not worth it.
· 9 min read
Needle-in-a-Haystack Tests: What They Prove and What They Miss
A perfect needle-in-a-haystack chart says a model can find one planted sentence. It says very little about whether it can reason over your documents.
· 9 min read
Negotiating AI Contracts: What Is Actually on the Table
Rate cards are the least negotiable part of an AI vendor contract. What you can actually move on retention, rate limits, SLAs and exit terms, and what leverage you need.
· 9 min read
Neovim LLM Setup: Adapters, Keys and Custom Endpoints
Wire a Neovim LLM plugin to your own OpenAI-compatible endpoint — how adapters are shaped, where the key should come from, and why streaming often looks broken.
· 8 min read
Open Model Pricing Compared: What the Per-Token Rate Hides
Input and output rates across the open-weight field, and why the cheapest model per token is frequently not the cheapest per completed task.
· 9 min readOpen-Weight Model Licences Compared: What You Can Ship
MIT, custom terms with revenue thresholds, and everything between. Which 2026 open-weight models you can build a product on without conditions.
· 9 min readOpen-Weight vs Closed Models: What the Gap Costs You Now
Closed models still lead on aggregate benchmarks, but the gap narrowed sharply through 2026. What open weights buy, what they still cost, and how to decide.
· 9 min readReady to try it?
Every model behind one key. Start free and upgrade when it sticks.