FormationEval, an open multiple-choice benchmark for petroleum geoscience: leaderboard

FormationEval evaluates language models on multiple-choice petroleum geoscience and subsurface questions, using text input only. It covers seven domains such as petrophysics, petroleum geology, and reservoir engineering. The pinned metric is accuracy, measuring the rate of correct answers in the reported leaderboard results. The source notes public code and results, plus documented construction caveats. Source: BenchmarkList’s attributed result table.

Metric: accuracy (rate). Source: benchmarklist.com. Saturation forecast: Around November 2026. 72 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro (Preview)1#71
2GLM-4.70.99#202
3Gemini 3 Flash (Preview)0.98#90
4Gemini 2.5 Pro0.98#159
5Grok 4.1 Fast0.98#227
6Kimi K2 (Thinking)0.97#252 (Kimi K2)
7Claude Opus 4.50.97#87
8GPT-5 Mini (Medium)0.96#193 (GPT-5 Mini)
9DeepSeek R10.96#262
10Grok 4 Fast0.96#266
11GPT-5 Mini (High)0.96#193 (GPT-5 Mini)
12O4 Mini (High)0.95#185 (O4 Mini)
13GPT-5 Mini (Low)0.95#193 (GPT-5 Mini)
14Gemini 2.5 Flash0.95#255
15Grok 3 Mini0.95#289

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=formationeval-an-open-multiple-choice-benchmark-for-petroleum-geoscience · How It Works · Data refreshed daily, snapshot 2026-11-05.