[whatmodel.sh](../../README.md) / LongCat 2.0 (1.6T-A48B) # LongCat 2.0 (1.6T-A48B) Meituan · released 2026-06 · 1600B params (48B active) · mit **score 71.7** ±1.9 · #63 of 732 · from 7 benchmark results across 2 sources Score within the [LMArena (text)](https://whatmodel.sh/?set=lmarena-text&score=set) comparison set only. ## What it's good at ● marks LongCat 2.0 (1.6T-A48B) among every model on that task or test, worst to best.
task vs the others rank counts tests agent tasks ▁▁▃▆█▄▅▅●▄▂▁ #72 of 313* 24% 6 coding not ranked yet — 2 chat & writing ▁▁▁▃▆▄▆█●▇▇▃ #137 of 402* 5.3% 1 math ▁▁▃▅█▆▄█●▂▁▁ #54 of 431* 15% 1 web search ▁▁▁▅▄●▃▄·▁·▁ #40 of 84* 13% 2
test result vs the others in its run difficulty counts why RWSearch (maker) 78.8% ██●█··█····█ beats 2/5 medium · avg 45% 13% typical EEGAgentBench overall (tool-based… 44.5% ▂·▁▁··●▇█▂·▁ beats 9/25 hard · avg 28% 11% blunt · at its level SWE-bench Multilingual (maker) 77.3% ▁··▁▃▁▅█●▂▂▁ beats 51/65 hard · avg 18% — not counted yet: no other model in the … Terminal-Bench 2.1 (maker) 70.8% ▁·▁·▁▁▄▃▆●▅█ beats 39/63 very hard · avg 7.2% — not counted yet: no other model in the … BrowseComp (maker) 79.9% ▂·▃▁▂▂▆▅█●▂▄ beats 38/46 very hard · avg 11% — not counted yet: no other model in the … SWE-bench Pro (maker) 59.5% ▄▂▂▂▄▂▆●·▂·▂ beats 14/16 — not counted yet: no other model in the …
test result vs the others in its run difficulty counts why SWE-bench Multilingual (maker) 77.3% ▁··▁▃▁▅█●▂▂▁ beats 51/65 hard · avg 18% — not counted yet: no other model in the … SWE-bench Pro (maker) 59.5% ▄▂▂▂▄▂▆●·▂·▂ beats 14/16 — not counted yet: no other model in the …
test result vs the others in its run difficulty counts why IFEval (aggregation unspecified) … 90.0% █·█●·█···█·█ beats 2/5 easy · avg 72% 5.3% typical
test result vs the others in its run difficulty counts why IMO-AnswerBench (maker) 81.8% ▁▁·▁▁▁▄▆●▄▂▃ beats 28/44 hard · avg 25% 15% typical
test result vs the others in its run difficulty counts why RWSearch (maker) 78.8% ██●█··█····█ beats 2/5 medium · avg 45% 13% typical BrowseComp (maker) 79.9% ▂·▃▁▂▂▆▅█●▂▄ beats 38/46 very hard · avg 11% — not counted yet: no other model in the …
test result vs the others in its run difficulty counts why GPQA Diamond (maker) 88.9% ▁▁▁▁▂▄▅▅██●▄ beats 265/322 hard · avg 39% 28% sharp · small run FORTE (AGI-Eval) (maker) 73.2% ▄···●·····▄█ beats 2/5 medium · avg 38% 14% at its level WritingBench (maker) 83.8% ▁·▁▂▁··●█▂▂▁ beats 8/20 medium · avg 54% 13% typical
source results share of the score meituan-longcat/LongCat-2.0 model card … 6 88% ▇▇▇▇▇▇▇▇▇▇▇ EEGAgentBench: Benchmarking LLM Agents … 1 11% ▇ prior: pull toward the middle 2% ▇ weighted average = 71.7Licences: meituan-longcat/LongCat-2.0 model card ([mit](../../licenses/meituan-longcat--LongCat-2.0.txt)) · EEGAgentBench: Benchmarking LLM Agents on Short- and Long-Horizon EEG Analysis ([CC BY 4.0](https://creativecommons.org/licenses/by/4.0/))
source test score why meituan-longcat/LongC… SWE-bench Pro 59.5% too few models have it yet meituan-longcat/LongC… BrowseComp 79.9% too few models have it yet meituan-longcat/LongC… SWE-bench Multilingual 77.3% too few models have it yet meituan-longcat/LongC… Terminal-Bench 2.1 70.8% too few models have it yet