34%
AA Intelligence Index v4.1
Models / Meituan
LongCat · Released 2026-06-29
Meituan's June 2026 agentic-coding model: a 1.6T-parameter MoE with roughly 48B active parameters per token, 1M-context training, MIT licensing, and a public reveal as the model behind OpenRouter's Owl Alpha stealth route.
Track as a near-frontier open-weights coding contender, but wait for weights and independent reruns before treating the OpenRouter/Owl Alpha adoption story as durable evidence.
Family profile
Best published score in each covered benchmark family.
4 tested benchmark families
Where LongCat-2.0 places on each public benchmark source that publishes a row. Rank counts every model with a latest row in the same test — not a universal quality score.
| Benchmark | Family | Rank | Score | Source | Date |
|---|---|---|---|---|---|
| SWE-bench Verified | Coding | #23/ 23 | 60 | Meituan LongCat-2.0 release materials | 2026-06-29 |
| AA time to first token | Performance | #32/ 186 | Artificial Analysis | 2026-09-01 | |
| Terminal-Bench | Agentic | #41/ 184 | 71 | Meituan LongCat-2.0 release materials | 2026-06-29 |
| Humanity's Last Exam | Reasoning | #58/ 180 | 34 | Artificial Analysis | 2026-09-01 |
| τ³-Bench Banking | Agentic | #80/ 106 | 13 | Artificial Analysis | 2026-09-01 |
| AA output speed | Performance | #82/ 187 | Artificial Analysis | 2026-09-01 | |
| Artificial Analysis Intelligence Index | Reasoning | #124/ 187 | 34 | Artificial Analysis | 2026-09-01 |
| AA-LCR | Long context | #130/ 179 | 63 | Artificial Analysis | 2026-09-01 |
| GPQA Diamond | Reasoning | #145/ 185 | 78 | Artificial Analysis | 2026-09-01 |
| SciCode | Coding | #156/ 180 | 35 | Artificial Analysis | 2026-09-01 |
The three highest-scoring models with pages in each capability family. Where LongCat-2.0 shows up, it's highlighted.
Benchmark rows added to the public ledger for LongCat-2.0 in the last 120 days. Older rows live in the full table below.
| Benchmark | Family | Score | Source | Days ago |
|---|---|---|---|---|
| AA-LCR | Long context | 62.67% | Artificial Analysis | 5 |
| AA output speed | Performance | 37 t/s | Artificial Analysis | 5 |
| AA time to first token | Performance | 2.13s | Artificial Analysis | 5 |
| Artificial Analysis Intelligence Index | Reasoning | 34% | Artificial Analysis | 5 |
| GPQA Diamond | Reasoning | 78% | Artificial Analysis | 5 |
| Humanity's Last Exam | Reasoning | 33.7% | Artificial Analysis | 5 |
| SciCode | Coding | 35.4% | Artificial Analysis | 5 |
| τ³-Bench Banking | Agentic | 13.2% | Artificial Analysis | 5 |
| Terminal-Bench | Agentic | 70.8% | Meituan LongCat-2.0 release materials | 69 |
| SWE-bench Verified | Coding | 59.5% | Meituan LongCat-2.0 release materials | 69 |
A high composite that hides a weak family is a trap. These bars surface the families where this model hasn't been publicly tested, and where it leads.
Hover any dot for name, score, and input price. Keyboard: tab through the top twelve, or use the ranking below.
Every catalog benchmark for LongCat-2.0. Scores link to the original source; gaps mean no public row exists yet.
10 of 37 catalog benchmarks have a sourced row for LongCat-2.0.
34%
AA Intelligence Index v4.1
78%
GPQA Diamond (AA run)
33.7%
HLE (AA run)
35.4%
SciCode (AA run)
59.5%
SWE-bench Pro vendor-reported
70.8%
Terminal-Bench 2.1 vendor-reported
13.2%
τ³-Bench Banking (AA run)
62.67%
AA-LCR (AA run)
37 t/s
Median output tokens/s (1k prompt, default provider)
2.13s
Median time to first token (1k prompt, default provider)