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Qwen3.5-122B-A10B

alibaba · Apache 2.0 license · on Arena since 26 Feb 2026

Lab chat Download
Arena score1417#123 of 416 in Chat, paid models included
Size125.1 B10 B active per token (mixture of experts)
4-bit download76 GBweights only, Q4_K_M
Max context256Ktokens, from the model config

Where to use it for free

Arena scores

ArenaScoreRankVotes
Chat1417#123 of 41630K
Coding1361#108 of 1448K
Vision1245#70 of 16513K

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 GBGPU + 64 GB RAM20 tok/s
RX 7900 XTX24 GBDoes not fit—
2 × RTX 309048 GBGPU + 64 GB RAM26 tok/s
4 × RTX 309096 GBFits in GPU88 tok/s
Mac M4 Max 128 GB96 GBFits in GPU56 tok/s
Ryzen AI Max+ 395 128 GB96 GBFits in GPU26 tok/s
8 × H100 SXM640 GBFits in GPU282 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_M63 GB64 GB66 GB+4.7% noticeable loss
Q4_K_M77 GB77 GB80 GB+1.2% very small loss
Q5_K_M90 GB90 GB93 GB+0.4% near-lossless
Q6_K103 GB104 GB106 GB+0.2% near-lossless
Q8_0134 GB134 GB137 GB≈ 0% same as full
F16251 GB252 GB254 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

Qwen3.5-122B-A10B 1417Best paid model

Arena score from 17 Apr 2026 to 15 Oct 2026.

Vision score over time

Qwen3.5-122B-A10B 1245Best paid model

Arena score from 10 Apr 2026 to 9 Oct 2026.

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