LongCat Flash Lite
LongCat開源權重MIT · 商用許可
描述
LongCat-Flash-Lite is a lightweight MoE model from Meituan with 68.5B total parameters and only 2.9B-4.5B activated per token. It explores N-gram embedding expansion as a new scaling direction, supporting 256K context length via YaRN. Optimized for agent tooling and programming tasks, achieving 500-700 tokens per second inference speed while maintaining strong performance on coding, math, and agentic benchmarks.
發布日期
2026-01-28
參數規模
68.5B
上下文長度
—
支援模態
text
能力雷達圖
15
general
28
coding
64
reasoning
40
science
70
agents
0
multimodal
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Agents
Terminal-Bench
33.8%自報
Biology
GPQANYU + Cohere + Anthropic (2023)
66.8%自報
Code
SWE-Bench Verified
54.4%自報
SWE-bench Multilingual
38.1%自報
Communication
Tau2 Retail
73.1%自報
Tau2 Telecom
72.8%自報
Tau2 Airline
58.0%自報
Finance
MMLU
85.5%自報
MMLU-Pro
78.3%自報
General
CMMLU
82.5%自報
Math
MATH-500
96.8%自報
AIME 2024
72.2%自報
AIME 2025
63.2%自報
AA 評測指數
(Artificial Analysis)Intelligence Index(Artificial Analysis)17.4
Tau2(Sierra + U Toronto + Vector Institute (2025))0.8
Gpqa(NYU + Cohere + Anthropic (2023))0.6
Ifbench(Google Research (2023))0.4
Lcr(Artificial Analysis)0.3
Scicode(UIUC + Argonne National Lab (2024))0.3
Terminalbench Hard(Stanford × Laude Institute (2026))0.1
Hle(Center for AI Safety + Scale AI (2025))0.1
LLM Stats 分類評分
(LLM Stats (zeroeval))Legal80
Math80
Language80
Finance80
Healthcare80
Physics70
Reasoning70
General70
Biology70
Chemistry70
Communication70
Tool Calling70
Frontend Development50
Code40
Agents30
定價
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輸出價格免費
混合價格(3:1)免費
速度
Tokens/秒0.0
首Token延遲0.00s
首回答延遲0.00s
供應商價格排行
供應商價格排行
1 個供應商
供應商輸入輸出
1Meituan
$0
$0
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