News & guides
MiniMax M2.7 vs M3: How to Judge an In-Family Upgrade
Deciding whether to move from one generation of a model to the next, using what is actually verifiable about MiniMax M3 rather than a spec-sheet duel.
· 8 min readMiniMax M2.7: Should You Still Be Running It?
M2.7 predates M3 and its published specs are inconsistent across sources. How to decide whether a superseded model is still the right one for your workload.
· 9 min read
MIT-Licensed Models: What You Can Actually Build On
GLM-5.2 and both DeepSeek V4 variants ship under MIT. Kimi does not. Why the licence column decides more architecture than any benchmark score.
· 9 min readModel Deprecation and Migration: Planning for the Sunset
Every model you depend on will be retired. How to track deprecation notices, size the migration and move without a quality cliff on the cutover day.
· 9 min readModel Drift in Production: Detecting Quality Change With No Error
Model output quality can degrade without a single failed request. The signals that move first, how to instrument them, and what to do when one shifts.
· 9 min read
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
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 readMulti-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
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.