TerraBench - NumScore: leaderboard

NumScore on TerraBench (2026), an executable Earth-science benchmark for tool-using agents: tolerance-aware partial credit for numeric answers that halves for each extra tolerance width of error, with missing answers scoring 0, on a 0 to 100 scale. Higher is better.

Metric: NumScore (%): tolerance-aware partial credit for numeric answers, halving for each extra tolerance width of error (missing or unparseable answers score 0), 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 July 2027. 17 models tracked.

Top models

#ModelScoreOverall rank
1Claude Sonnet 4.628.44#161
2GPT-5.526.45#49
3Claude Haiku 4.521.19#568
4Gemini 3.1 Pro (Preview)17.07#94
5GPT-5.412.29#123
6Gemini 2.5 Flash7.7#453
7Qwen 3.5 35B A3B7.49#482
8Gemma 4 26B A4B4.45#615
9Qwen 3 14B4.3#1233
10Gemma 4 E4B3.04#2214
11Mistral 7B Instruct (v0.3)2.41#6653
12Qwen 3 8B2.06#1830
13InternVL3-8B1.7#1688
14Qwen 3.5 9B1.3#803
15Qwen 3 1.7B1.15#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-numscore · How It Works · Data refreshed daily, snapshot 2026-11-13.