Generate
Each model received the same fictional facts, supplied law, and assignment in a fresh single-turn context without tools.
Methodology
Four models answered the same 80 closed-record legal matters. Every pair of answers was evaluated under concealed identities using the same material-outcome judge prompt.
Evaluation sequence
The expanded record adds a fourth contestant and 240 new pairings without changing the evaluation instrument.
Each model received the same fictional facts, supplied law, and assignment in a fresh single-turn context without tools.
Four answers created six unique head-to-head pairings for each matter.
The judge saw only Answer A and Answer B, not model names or delivery architecture.
A winner required a material difference in what a competent professional should do or in the client's position.
All 320 answers, 480 verdicts, stored assignments, and source paths were preserved for inspection.
Decision rule
The judge did not reward length, style, or extra detail unless the difference changed a material legal or practical outcome.
A competent professional would take materially different action that improves the client's legal position, exposure, leverage, or safety.
Both answers lead to the same materially correct and safe course, even when wording or supporting detail differs.
Both answers fail the material-outcome standard. This result is reported separately from a tie.
Method in everyday English
Each prompt supplied the facts, law, and task needed to answer without outside research.
Four models produced 320 scored answers across 80 matters.
Every pair of model answers was judged, producing 480 verdicts.
Model names were replaced with A and B in each comparison.
Style and verbosity alone could not decide the verdict.
An incomplete answer could still tie when it reached the same material recommendation, or lose when missing analysis prevented safe action.
Controls, rules, and study scope
The evidence layer preserves the full record without forcing every visitor through implementation detail.
The matters are fictional and designed to be answerable from supplied facts and law. They test legal reasoning and work-product consequences, not retrieval from the open internet.
A competent professional was assumed to perform ordinary verification of stated facts, dates, rules, and calculations. If removing a rejected point left the same safe course, that point did not create a winner.
Rejected-point attributions are a review-burden diagnostic, not a universal hallucination rate.
On Q59, Q61, and Q75, the recorded Claude delivery path returned finish_reason: content_filter and incomplete text. The path included OpenRouter and Amazon Bedrock, but the available logs do not identify which policy layer stopped the output. The benchmark scored what the configured system delivered.
In the Qwen 3.8 versus Claude comparison, Q61 and Q75 were Qwen wins and Q59 was a functional tie. Excluding all three matters produces a 4 to 4 completed-answer score with 69 ties.
Series 1 Q12 received a rerun after an initial hosted attempt was blocked, and the completed rerun was scored. The later Series 2 protocol scored the output returned on the recorded attempt. This historical difference remains disclosed.
The publication uses one judge model and one published evaluation instrument. The record supports claims about these 80 matters under this method, not every legal task or every possible evaluator.
The stored answer_a_was and answer_b_was fields in each verdict are authoritative. The historical reference judge helper does not reproduce every stored assignment and is not used to recalculate the record.