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Ling-3.0-flash-Sante

inclusionAI · released 19 Oct 2026

Download New · waiting for Arena votes
Arena score—Not voted on Arena yet
Size127.5 B8.6 B active per token (mixture of experts)
4-bit download77 GBweights only, Q4_K_M
Max context256Ktokens, from the model config

Where to use it for free

New: waiting for Arena votes

Released on 19 Oct 2026. Arena has not voted on this model yet. As soon as it does, the model moves into the ranking automatically, usually the next night. Until then you can still check its size, memory needs and speed below.

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 GBGPU + 64 GB RAM21 tok/s
RX 7900 XTX24 GBDoes not fit—
2 × RTX 309048 GBGPU + 64 GB RAM26 tok/s
4 × RTX 309096 GBFits in GPU76 tok/s
Mac M4 Max 128 GB96 GBFits in GPU45 tok/s
Ryzen AI Max+ 395 128 GB96 GBFits in GPU27 tok/s
8 × H100 SXM640 GBFits in GPU153 tok/s

Estimate at 4-bit with 32K context, 64 GB of DDR5 for offload. Speed ≈ memory bandwidth × 78% ÷ data read per token, plus a fixed cost per token, calibrated on 44 real llama.cpp tests; typical error about ±10%. Compare all GPUs.

GPU memory needed

Level8K context32K context128K contextQuality vs full
Q3_K_M65 GB66 GB71 GB+4.7% noticeable loss
Q4_K_M78 GB79 GB84 GB+1.2% very small loss
Q5_K_M92 GB93 GB98 GB+0.4% near-lossless
Q6_K106 GB107 GB111 GB+0.2% near-lossless
Q8_0136 GB138 GB142 GB≈ 0% same as full
F16256 GB257 GB262 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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