Alibaba

Qwen 3.7 Max (235B)

Alibaba's latest top-tier model for multilingual workloads

Model Summary

Family

Qwen

Version

3.7

Parameters

235B (est.)

Parameter counts for closed models are estimates; vendors rarely publish exact sizes.

VRAM Requirements by Quantization

Memory needed to serve Qwen 3.7 Max (235B) for inference, including a 20% overhead for activations and KV cache.

PrecisionVRAM neededSmallest single GPU that fits
INT4 (4-bit)131.32 GBNVIDIA H200 SXM5 (141 GB)
INT8 (8-bit)262.63 GBNVIDIA B300 SXM (288 GB)
FP16 (16-bit)525.27 GBMulti-GPU required
FP32 (32-bit)1050.53 GBMulti-GPU required

Recommended GPU Configurations

Cheapest on-demand configurations to serve Qwen 3.7 Max (235B) at 8-bit (263 GB VRAM).

2x AMD Instinct MI300X

384 GB total VRAM · CDNA 3

~$12.00/h

1x AMD Instinct MI355X

288 GB total VRAM · CDNA 4

~$13.00/h

2x AMD Instinct MI325X

512 GB total VRAM · CDNA 3

~$16.00/h

Quick GPU Planning

Use the calculator pre-filled with this exact version to estimate memory, speed, and compute requirements in a few clicks.

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Frequently Asked Questions

How much VRAM do you need to run Qwen 3.7 Max (235B)?

With an estimated 235B parameters, Qwen 3.7 Max (235B) needs roughly 263 GB of VRAM in 8-bit (INT8), 131 GB in 4-bit, and 525 GB in FP16, including a 20% overhead for activations and KV cache.

Which GPUs can run Qwen 3.7 Max (235B)?

At 8-bit quantization, the most cost-effective option is 2x AMD Instinct MI300X (384 GB combined VRAM, around $12.00/hour on-demand). Higher-end cards like the NVIDIA B200 or AMD MI355X reduce the GPU count needed.

Can Qwen 3.7 Max (235B) run on a single GPU?

Yes. In 8-bit, a single NVIDIA B300 SXM (288 GB) fits the model.

How much does it cost to serve Qwen 3.7 Max (235B) in the cloud?

Renting 2x Instinct MI300X costs on the order of $12.00/hour, i.e. about $8,760/month running 24/7. Actual prices vary by provider and commitment; spot and reserved capacity can be significantly cheaper.