What GPU do I need to run Qwen/Qwen-AgentWorld-35B-A3B?

34.7B parameters, published in BF16. View on Hugging Face

34.7B
Parameters
BF16
Native precision
Qwen3_5MoeForConditionalGeneration
Architecture
text-generation
Pipeline

Qwen-AgentWorld-35B-A3B is published by Qwen on Hugging Face, with 71,245 downloads and 710 likes to date. It's a Qwen3_5MoeForConditionalGeneration model built for text-generation, published natively in BF16.

VRAM required & cheapest live GPU fit

Required VRAM = weight size at each precision, plus a fixed overhead for KV-cache, activations, and fragmentation. Full formula and assumptions: methodology.

PrecisionWeight sizeRequired VRAMCheapest live fitGPUs neededEst. $/hr (full fit)
BF1664.6 GB77.5 GBA1001$1.21/hr
cheaper alt.RTX A50004$0.704/hr
FP8 (quantized)32.3 GB38.7 GBL401$0.742/hr
cheaper alt.RTX 4000 SFF Ada2$0.396/hr
INT4 (quantized)16.1 GB19.4 GBRTX A50001$0.176/hr

A GPU is only matched to a row if its hardware supports that precision, and the primary recommendation is always a single-GPU fit when one exists.

INT4 requires a quantized checkpoint actually published for this model, check its Hugging Face page before relying on this row.

Cheapest way to run Qwen-AgentWorld-35B-A3B at its published (BF16) precision: 1× A100, at $1.21/hr per GPU ($1.21/hr total). Quantizing to FP8 or INT4 (rows above) can cost less, but requires a compatible quantized checkpoint to exist for this model.

Qwen-AgentWorld-35B-A3B: common questions

Can Qwen-AgentWorld-35B-A3B run on a single GPU?

Yes, but not on a desktop card. At BF16 it needs 77.5 GB of VRAM, more than a single 32 GB desktop card holds. The cheapest live single-card fit is a 80.0 GB A100 at $1.21/hr.

What is the least VRAM Qwen-AgentWorld-35B-A3B can run in?

19.4 GB, at INT4 (quantized), which fits a 24 GB card, against 77.5 GB at BF16. That row assumes an INT4 checkpoint has actually been published for this model, so check its Hugging Face page before planning around it.

Does quantizing Qwen-AgentWorld-35B-A3B lower the GPU bill?

Yes. At BF16 the cheapest live fit is one A100 at $1.21/hr. At INT4 (quantized) it drops to one RTX A5000 at $0.176/hr, provided a quantized checkpoint exists for it.

Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.

More Qwen models

Related reading: A100 pricing and specs, and The best GPUs for AI, ranked.

Submit the job. Everything after that is ours.

Sign up in 60 seconds. Pay for the GPU minutes you actually use.

© 2026 Aquanode. All rights reserved.

All trademarks, logos and brand names are the property of their respective owners.