Claude Sonnet 5 vs Fable 5: A Real Cost-vs-Capability Breakdown
Agentic coding at the right price tier. Benchmark Claude Sonnet 5, Opus 5, and Fable 5 on real dev tasks with tokenizer-corrected cost calculations.
5 articles tagged with Model Selection
Agentic coding at the right price tier. Benchmark Claude Sonnet 5, Opus 5, and Fable 5 on real dev tasks with tokenizer-corrected cost calculations.
Optimizing AI latency and token budgets. Read a technical comparison of GPT-5.6's new model tiers, pricing updates, and how to build a dynamic model-routing gateway.
Two completely different ways to get a hard task right: make the model think harder at inference time, or make a smaller model already know the answer shape. Neither is universally correct.
Standardizing on a single model made sense when there were three viable options. With dozens of capable models at wildly different price and latency points, routing across a fleet is now the more defensible default.
Reasoning models think longer and get more right. Fast models answer instantly and get most things right, most of the time. Here's how I decide which one belongs in a given code path.