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// Qwen · Vision-language

Qwen3.5-122B-A10B: VRAM & local deployment

125.1B total · 10B active (MoE) parameters. About 84.1 GB at 4-bit and 276 GB at BF16 with one 8K-token request.

released 2026-02-24licence: Commercial OKmemory figures are estimates

01Specs

PublisherAlibaba Qwen · Qwen
Family / seriesQwen · Qwen3.5
TypeVision-language (image-text-to-text)
Parameters125.1B total · 10B active (MoE) Source: counted from official safetensors weights
Context length256K tokens (262,144)max_position_embeddings in config.json
Architecture48 layers (12 full-attention) · GQA+HYBRID · MoE
Released weightsBF16 · 250 GBdownload
LicenceApache-2.0 · Commercial OKPermissive licence (Apache-2.0 / MIT / CC-BY / OpenMDW): commercial use allowed.
Released2026-02-24 (Hugging Face repo created)

02How much VRAM it needs (estimate)

Total = weights + 10% + 0.5GB overhead + KV cache for one request (FP16 KV). More concurrent users multiply the KV column.

PrecisionWeightsTotal @ 8KTotal @ 32KTotal @ 128KSmallest GPUMac
BF16 / FP16 (original)250 GB 276 GB276 GB279 GB 4 × RTX PRO 6000 (384GB)Mac 512GB
FP8 / INT8 / Q8_0133 GB 147 GB148 GB150 GB 4 × RTX PRO 6000 (384GB)Mac 256GB
4-bit (Q4_K_M / AWQ / GPTQ-Int4)75.8 GB 84.1 GB84.7 GB87.1 GB RTX PRO 6000 96GBMac 128GB

KV cache per request: 8K 0.2 GB · 32K 0.8 GB · 128K 3.2 GB

Bits per weight: BF16 16, FP8 8.5, 4-bit 4.85. “Fits” = total ≤ 90% of memory; Mac GPU can use ~2/3 of unified memory (≤36GB) or ~3/4 (larger). For MoE, all experts must be in memory, so size by total parameters. Method →

03How to run it

Only runtimes the publisher or the runtime’s official library names for this model.

ollama run qwen3.5:122b-a10b

Which inference engine to choose →

04Official repositories & quantised builds

3 official repo(s) from Qwen.

05Other Qwen models

All 112 →
ModelParams4-bit totalReleased
Qwen3.5-0.8B · same series873M1.2 GB2026-02-28
Qwen3.5-2B · same series2.27B2.1 GB2026-02-28
Qwen3.5-4B · same series4.66B3.9 GB2026-02-27
Qwen3.5-9B · same series9.65B7.2 GB2026-02-27
Qwen3.5-27B · same series27.8B19.6 GB2026-02-24
Qwen3.5-35B-A3B · same series36B / 3B24.6 GB2026-02-24
Qwen3.5-397B-A17B · same series403.4B / 17B270 GB2026-02-16
Qwen-Image-2.1-Turbo7.12B5.2 GB2026-10-09
Qwen-Image-2.17.12B5.2 GB2026-09-14
Qwen3.8-Flash-Next180B / 6B121 GB2026-08-24
Qwen3.8-2.4T-A95B2.4T / 95B1.60 TB2026-08-08
Qwen3.8-27B27.8B19.6 GB2026-08-05
Qwen3.6-27B27.8B19.6 GB2026-04-21
Qwen3.6-35B-A3B36B / 3B24.6 GB2026-04-15
Qwen3-Coder-Next80B / 3B54.1 GB2026-01-30

06Sources

Data checked 2026-04-24. Parameters, context and licence are copied from the official repository; memory figures are our estimates.

Data updated: Self-host open models(UTC+8)