FireWorldBench - Counterfactual Intervention Reasoning (Structured Records): leaderboard

The counterfactual intervention reasoning dimension of FireWorldBench (Chen et al., 2026): predicting how a simulated fire would respond to an intervention such as a changed opening, exhaust, source or suppression. 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 (%; P5, counterfactual intervention reasoning 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 September 2028. 15 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.6 Luna48.07#117
2Gemma 3 27B (IT)46.85#1306
3Qwen 3.5 Plus (2026-02-15)44.92#178
4DeepSeek V3.244.45#403
5Gemini 2.5 Flash40.41#452
6Qwen 3 32B39.61#960
7Kimi K238#435
8Qwen 3 235B A22B36.47#622
9Qwen 3 Next 80B A3B Instruct33.95#763
10Qwen 3 8B31.58#1838
11Claude Haiku 4.531.45#568
12GLM 4.5 Air29.56#863
13Llama 3.1 8B Instruct29.38#4277
14Gemma 3 12B (IT)27.89#1849
15Llama 3.3 70B Instruct27.8#1353

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

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