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longcat-flash-chat

meituan · MIT license · on Arena since 17 Sept 2025

Download
Arena score1423#109 of 416 in Chat, paid models included
Size561.9 B33.4 B active per token (mixture of experts)
4-bit download341 GBweights only, Q4_K_M
Max context128Ktokens, from the model config

Where to use it for free

Arena scores

ArenaScoreRankVotes
Chat1423#109 of 41611K

Rank among all models, paid ones included. Source: Arena leaderboard dataset.

Speed on popular hardware

HardwareGPU memoryFits?Speed
RTX 3060 12 GB12 GBDoes not fit—
RTX 4060 Ti 16 GB16 GBDoes not fit—
RTX 309024 GBDoes not fit—
RTX 409024 GBDoes not fit—
RTX 509032 GBDoes not fit—
RX 7900 XTX24 GBDoes not fit—
2 × RTX 309048 GBDoes not fit—
4 × RTX 309096 GBDoes not fit—
Mac M4 Max 128 GB96 GBDoes not fit—
Ryzen AI Max+ 395 128 GB96 GBDoes not fit—
8 × H100 SXM640 GBFits in GPU91 tok/s

Estimate at 4-bit with 32K context, 64 GB of DDR5 for offload. Speed ≈ memory bandwidth × 70% ÷ data read per token; real numbers vary by about ±30%.

GPU memory needed

Level8K context32K context128K contextQuality vs full
Q3_K_M282 GB283 GB286 GB+4.7% noticeable loss
Q4_K_M341 GB342 GB345 GB+1.2% very small loss
Q5_K_M400 GB401 GB404 GB+0.4% near-lossless
Q6_K462 GB462 GB466 GB+0.2% near-lossless
Q8_0598 GB599 GB602 GB≈ 0% same as full
F161125 GB1125 GB1129 GB≈ 0% same as full

Weights + context cache (from the model's architecture) + runtime. Quality: increase in perplexity against the full model, from llama.cpp tests, scaled by model size. Simulate your own setup.

Chat score over time

longcat-flash-chat 1423Best paid model

Arena score from 17 Apr 2026 to 15 Oct 2026.

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