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Banja Lab / Benchmarks / Test

LAW-0005Australian law · medium

Long service leave federal or state trap

The same task, run on 28 models. Compare the outputs side by side, or open any one in a popup to inspect it.

Top result: claude-opus-4-8 (low reasoning) at 100.0% composite. Lowest: deepseek-v4-flash at 100.0%. 28 models compared on this task.

How it ran
  • Each model was given the brief below in a fresh, isolated session with no access to our tools, and returned its answer from scratch.
  • The rendered output was scored 1 to 5 on brief fidelity, visual design, craft, and impact by a four-family vision panel - Anthropic (Claude Opus 4.8), OpenAI (GPT-5.5), Google (Gemini 3.1 Pro), and xAI (Grok 4.3) - using one identical prompt so the scores compare. The published judge score is leave-one-family-out: a model is never scored by a judge of its own family, so same-family self-preference is removed.
The brief

This is a benchmarking hypothetical, not legal advice. The law is as at FY2025-26. An employee works in Victoria for a national-system employer covered by the Fair Work Act 2009 (Cth), and asks how their long service leave entitlement is worked out. Explain which law governs the employee's long service leave entitlement. Be specific about the jurisdiction. Do not give a single national long service leave figure that applies uniformly across Australia, because long service leave is not set that way. Name the level of government whose law applies here.

Anthropicclaude-opus-4-8
Low reasoning
Composite 100.0%Objective 100.0%
Open outputFull run
Anthropicclaude-opus-4-8
Medium reasoning
Composite 100.0%Objective 100.0%
Open outputFull run
Anthropicclaude-opus-4-8
High reasoning
Composite 100.0%Objective 100.0%
Open outputFull run
Anthropicclaude-opus-4-8
Extra-high reasoning
Composite 100.0%Objective 100.0%
Open outputFull run
Anthropicclaude-opus-4-8
Max reasoning
Composite 100.0%Objective 100.0%
Open outputFull run
Anthropicclaude-sonnet-4-6
High reasoning
Composite 100.0%Objective 100.0%
Open outputFull run
Anthropicclaude-sonnet-5
High reasoning
Composite 100.0%Objective 100.0%
Open outputFull run
Anthropicclaude-fable-5
High reasoning
Composite 100.0%Objective 100.0%
Open outputFull run
Anthropicclaude-haiku-4-5
High reasoning
Composite 100.0%Objective 100.0%
Open outputFull run
Zhipuglm-5.2
default reasoning
Composite 100.0%Objective 100.0%
Open outputFull run
Moonshotkimi-k2.7-code
default reasoning
Composite 100.0%Objective 100.0%
Open outputFull run
OpenAIgpt-5.5
High reasoning
Composite 100.0%Objective 100.0%
Open outputFull run
OpenAIgpt-5.5-pro
High reasoning
Composite 100.0%Objective 100.0%
Open outputFull run
OpenAIgpt-5.4-mini
High reasoning
Composite 100.0%Objective 100.0%
Open outputFull run
Googlegemini-3.1-pro-preview
High reasoning
Composite 100.0%Objective 100.0%
Open outputFull run
Googlegemini-3.5-flash
default reasoning
Composite 100.0%Objective 100.0%
Open outputFull run
Googlegemini-3.1-flash-lite
default reasoning
Composite 100.0%Objective 100.0%
Open outputFull run
xAIgrok-4.3
default reasoning
Composite 100.0%Objective 100.0%
Open outputFull run
xAIgrok-4.20-reasoning
default reasoning
Composite 100.0%Objective 100.0%
Open outputFull run
xAIgrok-build-0.1
default reasoning
Composite 100.0%Objective 100.0%
Open outputFull run
xAIgrok-composer-2.5-fast
default reasoning
Composite 100.0%Objective 100.0%
Open outputFull run
Anthropicclaude-opus-4-8
High reasoning
Composite 100.0%Objective 100.0%
Open outputFull run
Anthropicclaude-sonnet-4-6
High reasoning
Composite 100.0%Objective 100.0%
Open outputFull run
Anthropicclaude-sonnet-5
High reasoning
Composite 100.0%Objective 100.0%
Open outputFull run
Anthropicclaude-fable-5
High reasoning
Composite 100.0%Objective 100.0%
Open outputFull run
Anthropicclaude-haiku-4-5
default reasoning
Composite 100.0%Objective 100.0%
Open outputFull run
DeepSeekdeepseek-v4-pro
default reasoning
Composite 100.0%Objective 100.0%
Open outputFull run
DeepSeekdeepseek-v4-flash
default reasoning
Composite 100.0%Objective 100.0%
Open outputFull run