Benchmark Almanac

LongCat-2.0

LongCat-2.0 ranks first on StudyArena Text.

Meituan Released July 5th, 2026 Family LongCat The lab's model card Compare with others
14
Benchmarks with a score
1
Ranked first, out of five or more models
1
In the top three
Meituan Jul 2026

LongCat-2.0

Open weights Flagship

152.4 #79 of 404
Self-Reported Index, from the lab's own numbers. No Epoch Capabilities Index score yet.
  • FORTE 73.2% #7 /21
  • ClawProBench 58.8% #25 /49
  • Claw-SWE-Bench 67.1% #12 /16

Where it ranks

Its best score on each benchmark, and where that ranks among every model with a score there. We rank each model once, at its best setting.

Knowledge and language

BenchmarkScoreRankSource
StudyArena Text 1,375 #1 of 85 Official leaderboard
IFEval 90% #30 of 135 Lab model card

Math and science

BenchmarkScoreRankSource
GPQA Diamond 88.9% #46 of 302 Lab model card
IMO-AnswerBench 81.8% #22 of 37 Lab model card

Coding

BenchmarkScoreRankSource
SWE-bench Multilingual 77.3% #24 of 73 Lab model card
SWE-Bench Pro 59.5% #28 of 81 Lab model card
ALE-Bench 1,212 #81 of 126 Official leaderboard
Claw-SWE-Bench 67.1% #12 of 16 Official leaderboard

Agents and tools

BenchmarkScoreRankSource
BrowseComp 79.9% #28 of 81 Lab model card
ClawProBench 58.8% #25 of 49 Official leaderboard
Terminal-Bench 2.1 70.8% #38 of 56 Lab model card
RWSearch 78.8% #2 of 2 Lab model card

Professional work

BenchmarkScoreRankSource
FORTE 73.2% #7 of 21 Official leaderboard

Safety and security

BenchmarkScoreRankSource
nocot-bench (NCRI) 82.5 #52 of 185 Official leaderboard

Its lab's numbers put it at 152.4, number 79 of 404

The Self-Reported Index fits one score to the 7 capability results Meituan reported for this model, on the scale of the Epoch Capabilities Index. Labs choose which benchmarks to show and how to run them, so read it as the lab's claim, not an independent measurement. The 90% interval runs from 149.6 to 155.2. How we compute it.

Its lab's number next to a leaderboard

Where the benchmark's own leaderboard, or Epoch AI's run, also has this model. Gaps mostly come from different harnesses, effort levels and task subsets. Every pair.

Benchmark Lab says Board says Gap
FORTE 73.2% FORTE 73.2% Leaderboard, OpenClaw Same

Its launch post

The benchmarks the lab chose to headline, with the scores it gave.