FireWorldBench - Real-World-Aligned (Structured Records): leaderboard

The real-world-aligned subset of FireWorldBench (Chen et al., 2026): 26 recorded indoor fire experiments reconstructed with the Fire Dynamics Simulator, with questions across the five physical-capability dimensions. Observations are given as structured sensor traces and physical records; the score is completion accuracy in percent averaged over the five dimensions and over matched multiple-choice and open-report questions and scored deterministically; higher is better.

Metric: Completion accuracy (%; equal-weight mean of P1-P5 on the 714-item real-world-aligned subset, 26 event groups reconstructed from recorded indoor fire experiments; 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 July 2027. 15 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.6 Luna60.16#117
2Qwen 3.5 Plus (2026-02-15)55.35#178
3Claude Haiku 4.555.05#568
4Gemini 2.5 Flash54.35#452
5Llama 3.3 70B Instruct51.2#1353
6GLM 4.5 Air50.55#863
7Kimi K249.54#435
8DeepSeek V3.249.24#403
9Qwen 3 Next 80B A3B Instruct48.98#763
10Qwen 3 32B47.64#960
11Gemma 3 27B (IT)44.83#1306
12Qwen 3 235B A22B44.47#622
13Gemma 3 12B (IT)41.25#1849
14Qwen 3 8B39.09#1838
15Llama 3.1 8B Instruct32.54#4277

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

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