FireWorldBench - Physical Field Perception and Grounding (Structured Records): leaderboard

The physical field perception and grounding dimension of FireWorldBench (Chen et al., 2026): grounding partial observations of a simulated fire in the underlying physical fields, such as locating a source from temperature and soot anomalies. 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 (%; P2, physical field perception and grounding 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 January 2028. 15 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.6 Luna54.44#117
2Claude Haiku 4.553.95#568
3Gemma 3 27B (IT)53.4#1306
4Kimi K251.8#435
5Gemini 2.5 Flash50.81#452
6DeepSeek V3.249.23#403
7Qwen 3.5 Plus (2026-02-15)47.2#178
8Qwen 3 32B45.76#960
9Llama 3.3 70B Instruct44#1353
10Qwen 3 235B A22B42.76#622
11Qwen 3 Next 80B A3B Instruct42.61#763
12GLM 4.5 Air39.76#863
13Gemma 3 12B (IT)38.57#1849
14Qwen 3 8B35.34#1838
15Llama 3.1 8B Instruct31.35#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-physical-field-perception-and-grounding-structured-records · How It Works · Data refreshed daily, snapshot 2026-11-12.