FireWorldBench - Causal Mechanism Attribution (Structured Records): leaderboard

The causal mechanism attribution dimension of FireWorldBench (Chen et al., 2026): attributing an observed change in a simulated fire to its physical mechanism, such as buoyancy, crossflow or ventilation. Observations are given as structured sensor traces and physical records; the score is completion accuracy in percent, averaged over matched multiple-choice and open-report questions and scored deterministically; higher is better.

Metric: Completion accuracy (%; P4, causal mechanism attribution items of the controlled-simulation subset; structured-observation track (textual sensor traces and physical records); each cell is the mean of the matched choice-format score (Jaccard overlap of selected and gold option sets) and open-report score (exact agreement of required structured slots); deterministic evaluator, no LLM judge; failed or unparseable responses score 0). Source: arxiv.org. Saturation forecast: Around 2031. 15 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.6 Luna52.14#117
2DeepSeek V3.246.91#403
3Qwen 3 8B42.98#1838
4Qwen 3 32B42.67#960
5Claude Haiku 4.542.03#568
6Kimi K240.98#435
7Qwen 3.5 Plus (2026-02-15)40.61#178
8Qwen 3 235B A22B40.56#622
9Llama 3.3 70B Instruct38.02#1353
10GLM 4.5 Air37.49#863
11Gemini 2.5 Flash37.32#452
12Llama 3.1 8B Instruct37.16#4277
13Gemma 3 27B (IT)37.08#1306
14Gemma 3 12B (IT)34.03#1849
15Qwen 3 Next 80B A3B Instruct32.91#763

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=fireworldbench-causal-mechanism-attribution-structured-records · How It Works · Data refreshed daily, snapshot 2026-11-12.