LongCat-2.0
Shares rank 71 of 72 language models by recommenders
Chinese MoE model that people praise for novel architecture ideas and competitive results with rival models; critics note its weights cannot be downloaded and it is unaudited.
Chinese MoE model that people praise for novel architecture ideas and competitive results with rival models; critics note its weights cannot be downloaded and it is unaudited.
11 people gave an opinion
- recommend it
- 5
- criticize it
- 6
- approval share
- 45%
Recommended in 3 of 13 months
- November 2025: not recommended
- December 2025: not recommended
- January 2026: not recommended
- February 2026: not recommended
- March 2026: not recommended
- April 2026: not recommended
- May 2026: not recommended
- June 2026: recommended
- July 2026: recommended
- August 2026: recommended
- September 2026: not recommended
- October 2026: not recommended
- November 2026: not recommended (month in progress)
Why it doesn’t carry the badge
- 5 people recommend itNeeds 10 or more, not met.
- 0.8 recommenders for every criticNeeds 2 to 1 or better, not met.
- Recommended in 3 of 13 monthsNeeds 4 or more, not met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Novel architecture and N-gram embedding
“their contribution far exceeds merely post-training the base model in a different way”
Comment from 30 Jun 2026 in “LongCat-2.0, a large-scale MoE model with 1.6T total and 48B Active” “N-gram embedding seems like an amazing idea”
Comment from 30 Jun 2026 in “LongCat-2.0, a large-scale MoE model with 1.6T total and 48B Active” Competitive with other top models
“Very impressed too - seems roughly on par with Hy3.”
Comment from 10 Jul 2026 in “Hy3” “Beats Gwenn and ChatGPT 5.5”
Comment from 5 Jul 2026 in “China's LongCat-2.0 Becomes the Biggest AI Model Without Nvidia Chips”
What people warn about
Each mark is one comment
Weights not downloadable and unaudited
“Nothing can be downloaded from their Huggingface, and given this company's consistent track record, it can basically be considered a scam”
Comment from 30 Jun 2026 in “LongCat-2.0, a large-scale MoE model with 1.6T total and 48B Active” “it's not like any of it is audited”
Comment from 30 Jun 2026 in “LongCat-2.0, a large-scale MoE model with 1.6T total and 48B Active”
Other language models people recommend
The four most recommended other language models, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| Claude Opus | 3,331 | 2,746 | 55% | 13 | 4 mo156 owners | — |
| OpenAI GPT | 1,205 | 987 | 55% | 13 | 6 mo47 owners | — |
| Claude Sonnet | 854 | 586 | 59% | 13 | 6 mo46 owners | — |
| DeepSeek V4 Flash | 828 | 223 | 79% | 8 | 1 mo24 owners | Approved |
| LongCat-2.0This page | 5 | 6 | 45% | 3 | — | — |
What people said
All 12 comments that mention it, newest first. Each links to the original comment.
“I really just loved the idea of it that I understood”
“Very impressed too - seems roughly on par with Hy3.”
“there's many good Chinese models and labs, glm, qwen, deepseek, kimik, mimo, longcat”
“Beats Gwenn and ChatGPT 5.5”
“it's not like any of it is audited”
“I can’t get any tool calls working. Seems to use a wrapper which the current harnesses I’m using don’t support”
“it said "Too many requests, try again later" - this was my first question”
“Too big to be hosted and used locally unless you have some prod servers under you desk.”
“N-gram embedding seems like an amazing idea”
“Nothing can be downloaded from their Huggingface, and given this company's consistent track record, it can basically be considered a scam”
“gave a very well reason but incorrect answer that Pu-241 is preferable”
“their contribution far exceeds merely post-training the base model in a different way”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.