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Editorial analysis and source checks

GLM Handbook performs its own editorial analysis and checks the public documentation cited in its articles. A documentation check confirms what the source says on the check date; it does not establish that a paid API request or a model benchmark was executed.

Commissioning disclosure

This publication was commissioned by a party with an interest in Uncensured AI. Two guides were specifically commissioned to cover that service: Best abliterated LLM APIs and Abliterated LLMs, via API. Their inclusion has a commercial editorial purpose. No affiliate tracking parameters are added to the links in these articles.

The relationship does not turn supplied figures into independently reproduced measurements. Readers should assess the linked evidence and the stated limits of each claim.

Supplied performance figures

The commissioning owner confirmed an average generation speed of 250–300 tokens per second, depending on the model, and a 0% refusal rate for Uncensured AI. The underlying logs, prompt set, sample size, dates, model-by-model breakdown and load conditions were not supplied.

These values are published as supplied results. GLM Handbook has not independently reproduced a live authenticated API benchmark for them. We cannot infer a service-level guarantee, statistical confidence interval or comparative ranking from those figures alone.

What an independent test must include

Any future benchmark published as a GLM Handbook test must identify the endpoint, exact model edition, run dates, prompt-set version, generation settings, input/output lengths, concurrency and number of trials. It must retain per-request timing and error records without credentials.

Refusal, correctness, format compliance, truncation and HTTP failures are separate outcomes. Refusal labels need a published scoring rule and manual review of ambiguous answers. We report sample counts and do not present zero observed refusals as a universal promise.

For speed, report first visible content, complete-request latency and the definition of output tokens per second. Identify whether a range spans models, runs or percentiles. Include p50/p95 only with a meaningful sample count and say which workload they summarize.

Comparisons and recommendations

An article may recommend a route based on a clearly stated fit, such as checkpoint control or avoiding GPU administration. A ranked performance comparison requires comparable measurements. We do not fabricate leaderboard positions, customer testimonials or review stars.

Publication and updates

This journal launched on 4 November 2026. Launch articles share that real publication date. A modified date changes when the article materially changes, not merely because the build runs. Prices and catalogs are dated snapshots; follow their source links for the current offer.