What is an agentic LLM benchmark?

Agentic benchmarks evaluate whether AI models can complete multi-step workflows using tools, browsers, terminals, or software interfaces instead of only answering in chat.

Which benchmarks matter for AI agents?

Key agentic benchmarks include Terminal-Bench 2.0 for terminal tasks, BrowseComp for web research, and OSWorld-Verified for computer-use workflows.

Why do agentic benchmarks matter in 2026?

Agentic benchmarks matter because many modern products rely on models that can browse, plan, use tools, and complete end-to-end tasks rather than only generate text.

Agentic

Agentic Benchmarks

Name: Agentic Benchmarks — LLM Leaderboard
Creator: BenchLM.ai

Tool use, browser research, and computer-use workflows

Terminal-Bench 2.0 · BrowseComp · OSWorld-Verified

Agentic benchmarks test whether an AI model can do work, not just talk about it. That means opening tools, gathering evidence, navigating software, and staying coherent over a long chain of actions.

BenchLM.ai tracks three agentic benchmarks with different strengths: Terminal-Bench 2.0 focuses on coding and terminal workflows, BrowseComp measures web research ability, and OSWorld-Verified probes computer-use reliability.

Agentic capability now carries a 22% weight in BenchLM.ai's overall scoring. It is still the single biggest contributor in the overall ranking, reflecting the view that browse-and-do workflows now matter more than raw chat fluency alone.

123 models


1 GPT-5.4 Pro OpenAI	Closed	Reasoning	1.05M	91	90%	88%	84%
2 GPT-5.2 Pro OpenAI	Closed	Reasoning	400K	90	88%	88%	82%
3 GPT-5.4 OpenAI	Closed	Reasoning	1.05M	90	90%	88%	85%
4 GPT-5.3 Codex OpenAI	Closed	Reasoning	400K	89	90%	88%	86%
5 GPT-5.2 OpenAI	Closed	Reasoning	400K	88	90%	84%	81%
6 GPT-5.3 Instant OpenAI	Closed	Reasoning	128K	87	86%	82%	80%
7 GPT-5.3-Codex-Spark OpenAI	Closed	Reasoning	256K	87	90%	82%	83%
8 Claude Opus 4.6 Anthropic	Closed	Standard	1M	85	80%	85%	74%
9 GPT-5.2 Instant OpenAI	Closed	Reasoning	128K	85	83%	82%	74%
10 GPT-5.2-Codex OpenAI	Closed	Reasoning	400K	85	90%	85%	85%
11 Gemini 3.1 Pro Google	Closed	Standard	1M	84	77%	86%	68%
12 GPT-5.1-Codex-Max OpenAI	Closed	Reasoning	400K	84	90%	85%	82%
13 Grok 4.1 xAI	Closed	Standard	1M	84	79%	79%	73%
14 Gemini 3 Pro Deep Think Google	Closed	Reasoning	2M	81	77%	87%	73%
15 GPT-5.1 OpenAI	Closed	Reasoning	200K	80	78%	79%	71%
16 GPT-5 (high) OpenAI	Closed	Reasoning	128K	79	78%	75%	72%
17 Claude Sonnet 4.6 Anthropic	Closed	Standard	200K	78	70%	77%	68%
18 GLM-5 (Reasoning) Zhipu AI	Open	Reasoning	200K	78	81%	80%	74%
19 GPT-5 (medium) OpenAI	Closed	Reasoning	128K	78	77%	78%	72%
20 Claude Opus 4.5 Anthropic	Closed	Standard	200K	77	71%	73%	68%
21 Gemini 3 Pro Google	Closed	Standard	2M	77	68%	83%	66%
22 o1-preview OpenAI	Closed	Reasoning	200K	77	77%	79%	71%
23 Claude Sonnet 4.5 Anthropic	Closed	Standard	200K	76	69%	74%	69%
24 Grok 4.1 Fast xAI	Closed	Standard	1M	76	74%	73%	66%
25 Kimi K2.5 (Reasoning) Moonshot AI	Closed	Reasoning	128K	76	75%	77%	68%

Showing 25 of 123

About Agentic Benchmarks

Agentic software engineering and terminal task completion benchmark