Research desk
Plain-English analysis of capabilities, access, benchmarks and the fast-moving GLM ecosystem.
6 in-depth articles · updated as sources change
Blog
A clear, source-aware introduction to the model, its coding focus and current access routes.
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How to interpret DeepSWE, Terminal-Bench, SWE-Marathon, AutomationBench and CyberGym.
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Separate open weights, source availability, licenses and practical self-hosting requirements.
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Understand trial access, subscriptions, API billing and the difference between model and provider pricing.
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Why advertised context, usable context, output limits and agent compaction are different things.
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Explore the connection between software engineering, terminal use and authorized security evaluation.
Read articleHow to use this library
The research desk distinguishes published model properties from provider behavior and our interpretation. That matters when access, pricing and product features change faster than an article headline.
Architecture, context and reported benchmarks should trace to dated release material or primary documentation.
Endpoints, quotas, prices and regional availability belong to the service offering the model.
Repository outcomes depend on the harness, tools, prompts and acceptance tests used in a repeatable evaluation.
Use each article as a starting map to the cited material. Confirm current provider terms before budgeting, and reproduce claims that affect architecture or security with a representative task. When evidence is incomplete, the article says what remains unknown. That distinction is more useful than turning a new release, benchmark screenshot or temporary promotion into an undated certainty. Keep the article date beside any claim you quote internally. If a provider changes its model alias, context cap or price, update the operational decision rather than assuming the earlier conclusion still applies. A short reproducible test and the primary source should travel together.
Continue with one related article, then apply its checks to a real task before making a production decision.