Flagship models

Articles on high-volume API use, model choice and cost control, published daily.

Lead story

Comparing Flagship Reasoning Depth, Step by Step

A practical walkthrough for comparing flagship reasoning models on correctness, recovery, latency, and token cost under sustained workloads.

Build a practical routing policy for automated code review using risk, repository context, measured quality, and real token costs.

A step-by-step guide to testing DeepSeek V4 Pro for invoice exceptions, policy checks, and other repeatable back-office workflows.

A practical walkthrough for routing routine work through a small model while reserving flagship calls for difficult, consequential tasks.

A practical walkthrough for turning fresh sources into verified, timestamped news summaries with Grok 4.7 through Quanta.

Build a Gemini 3.1 Pro document pipeline with evidence tracking, structured extraction, validation, and token cost controls through Quanta.

A practical evaluation and deployment walkthrough for Chinese-language workflows using GLM-5.3 and Qwen3.8 Max through Quanta.

A step-by-step workflow for turning long source collections into research digests with Kimi K3 through Quanta.

A practical walkthrough for budgeting tokens, preserving contract evidence, managing cache costs, and checking long-document reviews.

A practical walkthrough for testing support models, measuring resolution costs, and deploying automation with clear escalation rules.

A practical walkthrough for choosing, testing and routing models for high-volume document summaries without losing control of quality or cost.

A practical walkthrough for choosing between GPT-6.1 Sol and GPT-6 Astra using task quality, retries, caching, and total workflow cost.