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Guides

Generating Tests With LLMs: Coverage Is Not the Goal

Models are very good at writing tests that pass and prove nothing. How to get suites that actually catch regressions, and how mutation testing tells you which ones do.

· 9 min read
Models

GLM-5.1 vs GLM-5.2: Same Size, Same Price, Different Job

Z.ai kept the architecture and the price list identical and changed what the model is for. The context jump, the long-horizon gains, and the token cost nobody mentions.

· 9 min read
Models

GLM-5.2 vs DeepSeek V4 Pro: Endurance or Raw Problem Solving

· 9 min read
Models

GLM-5.2: The Open Model Built for Long-Horizon Coding

· 10 min read
Fundamentals

How LLMs Actually Work: Next-Token Prediction, End to End

· 9 min read
Models

How to Choose a Coding Model Without Trusting Anyone’s Chart

· 9 min read
AI Agents

Human in the Loop: Designing Approval That Actually Works

· 9 min read
Cost & Pricing

Input vs Output Token Pricing: Which One Actually Bills You

· 7 min read
Cost & Pricing

Is Unlimited AI Actually Unlimited?

· 9 min read
Models

Kimi K3 vs DeepSeek V4 Pro: Doing the 17x Price Arithmetic

· 10 min read
Models

Kimi K3 vs GLM-5.2: Capability Against Deployability

· 9 min read
Models

Kimi K3: What a 2.8T Open-Weight Model Actually Buys You

· 10 min read
Guides

LLM API Error Codes: A Practical Reference

· 9 min read
Fundamentals

LLM Latency: Why Time to First Token Is the Number to Watch

· 9 min read

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