78%
GPQA Diamond (AA run)
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 |
|---|---|---|---|---|---|
| Terminal-Bench | Agentic | #40/ 167 | 71 | Meituan LongCat-2.0 release materials | 2026-06-29 |
| Humanity's Last Exam | Reasoning | #67/ 186 | 34 | Artificial Analysis | 2026-09-28 |
| SciCode | Coding | #90/ 97 | 36 | Artificial Analysis | 2026-09-28 |
| AA output speed | Performance | #95/ 195 | Artificial Analysis | 2026-10-12 | |
| AA-LCR | Long context | #142/ 184 | 65 | Artificial Analysis | 2026-09-28 |
| GPQA Diamond | Reasoning | #146/ 184 | 78 | Artificial Analysis | 2026-09-28 |
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 output speed | Performance | 65 t/s | Artificial Analysis | 10 |
| AA-LCR | Long context | 65% | Artificial Analysis | 24 |
| GPQA Diamond | Reasoning | 78% | Artificial Analysis | 24 |
| Humanity's Last Exam | Reasoning | 33.7% | Artificial Analysis | 24 |
| SciCode | Coding | 36.3% | Artificial Analysis | 24 |
| Terminal-Bench | Agentic | 70.8% | Meituan LongCat-2.0 release materials | 115 |
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.
6 of 13 catalog benchmarks have a sourced row for LongCat-2.0.
78%
GPQA Diamond (AA run)
33.7%
HLE (AA run)
36.3%
SciCode (AA run)
70.8%
Terminal-Bench 2.1 vendor-reported
65%
AA-LCR (AA run)
65 t/s
Median output tokens/s (1k prompt, default provider)
Every answer below is assembled from the dated fields on this page. Nothing is written separately for search.
LongCat-2.0 is a Meituan model: 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.
LongCat-2.0 lists $0.75 input and $3.0 output per 1M tokens. Pricing last checked 2026-07-01.
LongCat-2.0 publishes a 1M token context window.
LongCat-2.0 carries Solid status on the model atlas.
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