TerraBench: leaderboard

TerraBench (2026) evaluates tool-using agents on 403 executable Earth-science tasks that combine Earth-observation imagery, gridded climate data, GIS operations and simulators, each model driving the TerraAgent ReAct harness with 77 scientific tools. The score is Hit@tol, the percent of answer fields within their tolerance band, with exact match for strings and booleans. Higher is better.

Metric: Hit@tol (%): share of answer fields within the field's tolerance band (exact match for strings and booleans), averaged over multi-field outputs, on the 403 executable TerraBench tasks (Fundamentals, Simulator-Grounded and Document-Grounded Verification tracks across eight Earth-science domains), each model driving the benchmark's TerraAgent ReAct harness with its 77 scientific tools; higher is better. Source: arxiv.org. Saturation forecast: Around November 2027. 17 models tracked.

Top models

#ModelScoreOverall rank
1Claude Sonnet 4.622.88#161
2GPT-5.521.03#49
3Claude Haiku 4.515.23#568
4Gemini 3.1 Pro (Preview)13.21#94
5GPT-5.49.8#123
6Gemini 2.5 Flash6.34#453
7Qwen 3.5 35B A3B5.89#482
8Qwen 3 14B3.8#1233
9Gemma 4 26B A4B3.67#615
10Gemma 4 E4B2.9#2214
11Mistral 7B Instruct (v0.3)1.67#6653
12Qwen 3 8B1.33#1830
13Qwen 3.5 9B1.2#803
14InternVL3-8B1.1#1688
15Qwen 3 1.7B1.08#5520

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

Interactive version: theaggregate.ai/benchmark?slug=terrabench · How It Works · Data refreshed daily, snapshot 2026-11-13.