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Qwen3.8-Flash-Next

alibaba · qwen-community-1.0 license · on Arena since 16 Oct 2026

Lab chat Download
Arena score1630#19 of 144 in Coding, paid models included
Size180 B61.6 B active per token (mixture of experts)
4-bit download109 GBweights only, Q4_K_M
Max context256Ktokens, from the model config

Where to use it for free

Arena scores

ArenaScoreRankVotes
Coding1630#19 of 1448K

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 GBGPU + 64 GB RAM7.5 tok/s
Mac M4 Max 128 GB96 GBDoes not fit—
Ryzen AI Max+ 395 128 GB96 GBDoes not fit—
8 × H100 SXM640 GBFits in GPU51 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_M91 GB91 GB94 GB+4.7% noticeable loss
Q4_K_M110 GB110 GB113 GB+1.2% very small loss
Q5_K_M129 GB129 GB132 GB+0.4% near-lossless
Q6_K148 GB149 GB151 GB+0.2% near-lossless
Q8_0192 GB193 GB195 GB≈ 0% same as full
F16361 GB361 GB364 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.

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