AI Agents & Models benchmarks
How performance is measured at the frontier · as of 2026-10-29 · 7 benchmarks
Capability
LMArena Text Arena
Arena ScoreStyle-controlled, crowd-voted head-to-head preference rating.
↑ higher is better·LMArena
- #011,528
- #021,520
- #031,509
- #041,507
- #051,504
- #061,504
- #071,503
- #081,501
- #091,496
- #101,496
- #111,495
- #121,494
LiveBench
% scoreObjective, contamination-resistant evaluation across reasoning, coding, mathematics, data analysis, language, and instruction following.
↑ higher is better·LiveBench
- #0188.0%
- #0286.5%
- #0386.1%
- #04
SWE-bench Verified
% resolvedShare of real GitHub issues the model resolves end-to-end.
↑ higher is better·SWE-bench
- #0171.8%
- #02
Moatless Tools + Claude 4 Sonnet 70.8% - #03
OpenHands + Claude 4 Sonnet 70.4% - #04
SWE-agent + Claude 4 Sonnet
Agents
LMArena Agent Arena
IPS scoreReal-session agent quality across task outcomes, steerability, recovery, and tool use.
↑ higher is better·LMArena Agent Arena
- #010.209
- #020.160
- #030.138
- #04
Reasoning
ARC-AGI-2
% accuracyVerified accuracy on novel abstract-reasoning tasks from ARC Prize's semi-private set.
↑ higher is better·ARC Prize
- #0195.00%
- #0294.17%
- #0393.33%
- #04
Economics
Blended cost
$ / 1M tokensPublished price, 3:1 input:output blend — lower is cheaper.
↓ lower is better·LiteLLM (open pricing)
- #01$0.45
- #02$1.71
- #03$1.98
- #04
GLM-5.2
Context
- #011M
- #021M
- #031M
- #04
Claude Opus 4.8