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Xing4.0 29B A4B

XingChen-AGI · released 16 Sept 2026

Free API Download New · waiting for Arena votes
Arena score—Not voted on Arena yet
Size31.2 B4 B active per token (mixture of experts)
4-bit download19 GBweights only, Q4_K_M
Max context256Ktokens, from the model config

Where to use it for free

New: waiting for Arena votes

Released on 16 Sept 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, and try it for free.

Speed on popular hardware

HardwareGPU memoryFits?Speed
RTX 3060 12 GB12 GBGPU + 64 GB RAM36 tok/s
RTX 4060 Ti 16 GB16 GBGPU + 64 GB RAM39 tok/s
RTX 309024 GBFits in GPU122 tok/s
RTX 409024 GBFits in GPU128 tok/s
RTX 509032 GBFits in GPU178 tok/s
RX 7900 XTX24 GBFits in GPU124 tok/s
2 × RTX 309048 GBFits in GPU119 tok/s
4 × RTX 309096 GBFits in GPU112 tok/s
Mac M4 Max 128 GB96 GBFits in GPU64 tok/s
Ryzen AI Max+ 395 128 GB96 GBFits in GPU44 tok/s
8 × H100 SXM640 GBFits in GPU192 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_M17 GB18 GB22 GB+6.9% noticeable loss
Q4_K_M20 GB21 GB26 GB+1.8% small loss
Q5_K_M23 GB24 GB29 GB+0.6% near-lossless
Q6_K27 GB28 GB32 GB+0.2% near-lossless
Q8_034 GB35 GB40 GB≈ 0% same as full
F1663 GB65 GB69 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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