LLMs in everyday use Eight practical scenarios, the same rules, one honest result
Large commercial models go up against small nano models for local deployment, under equal conditions and in the same context. Open-weights models stand directly alongside expensive frontier models, revealing which model truly fits your stack.
The highest-performing AI models
American and Chinese vendors are locked in an arms race for the next level of intelligence. But holding its own in the middle is a third force: local, self-hosted open-weights models. Eight modules show, across typical work scenarios, which open-weights model can keep pace with which top model. No marketing, no lab values. Just real tasks and real results.
The Scoreboard shows the complete overview of all models, with scores for every module.
The operating costs of LLMs
Price lists quote cents per million tokens — a figure that is hard to put in context in everyday use. How many tokens a typical task consumes, and how much invisible reasoning tokens during thinking drive up costs regardless of the listed rate, remains hidden. CrucibleMark measures the actual price for each model based on real token consumption across all standardized tasks.
99 cents or 420 euros for the same task: the difference is in the context.
The trained bias: on the ideology of LLMs
No language model is neutral. Each was trained on data that carries a worldview, and that worldview stays active in the background. What is surprising: despite the debate around right-libertarian tendencies in individual models, the difference is often smaller than the marketing suggests. In the Political Compass benchmark, most models place themselves in the social-authoritarian middle ground. Outliers exist nonetheless, and they show just how wide the ideological spectrum actually is.
CrucibleMark tests two behaviors. Vanilla mode shows the default behavior — how a model responds on its own, without being pushed. In Anti-Diplomat mode, the model must take a clear position; evasive or conspicuously balanced answers are not an option. This reveals how much of the apparent neutrality is genuine learned stance, and how much is just polite hedging.
Compare bias archetypes, shift distances, and the full methodology behind the Political Compass.