ModelsOpen-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.
ReadNotes on models, agents, and what inference costs
Practical writing for developers building with large language models — how they work, how to pick one, and how to keep the bill predictable.
Picking between models — and testing them on your own work.
Models
ModelsPinning Model Versions: Why Aliases Break Production Quietly
A stable model alias can point at different weights over time. How that breaks tuned prompts without any error, and what to pin instead.
ReadModelsQwen 3.5 Coder vs DeepSeek V4 Pro: Specialist or Generalist
A code-tuned model against a large general MoE. What each design buys you, where the published numbers stop helping, and how to decide on your own repo.
Read
ModelsQwen 3.6 27B vs Max: Shipped Model or Preview Tier
One is a dense 27B you can run on a single GPU today. The other is a preview whose numbers can move. How to pick a tier inside one model family.
ReadModelsQwen 3.6 Guide: The Frontier Model That Fits on One GPU
Qwen 3.6 27B is dense, not mixture-of-experts, and runs on a single GPU while scoring 77.2 percent. Why that combination matters more than its position on a leaderboard.
ReadModelsQwen 3.6 Max: How to Plan Around a Preview Model
Max is still a preview tier, which means its specs, weights and price can all move. A procedure for evaluating and depending on a model that has not settled.
ReadModelsQwen 3.6 vs MiniMax M3: Different Benchmarks, Really
One reports 77.2 on SWE-bench Verified, the other 59.0 on SWE-bench Pro. Those numbers cannot be subtracted, and the real difference is elsewhere.
Read
ModelsQwen 3.6 vs Qwen 3.5 Coder: General or Specialised
One is a newer general model, the other a code-specialised predecessor. Whether a specialist still beats a stronger generalist at its own job.
Read
ModelsRegression Testing a Model Upgrade Before It Bites
A new model version is a dependency bump with no changelog. How to gate an upgrade, what to diff, and how to roll back when behaviour shifts.
ReadModelsRunning Frontier Models on Rented GPUs: What It Really Takes
Renting GPUs to serve open weights sounds like a shortcut past API pricing. The memory maths, the utilisation problem, and when it actually pays off.
Read
ModelsSecurity Review for Open-Weight Models Before You Deploy
Downloading weights means running someone else's artefact inside your network. What to check on provenance, licence, serving stack and data flow.
Read
ModelsSWE-bench Explained: What the Percentage Actually Measures
SWE-bench scores get quoted constantly and understood rarely. What the benchmark does, why its variants are not comparable, and what it cannot tell you.
ReadShowing 73–84 of 119 articles