Alibaba

Qwen 3 Coder-Next (80B)

Efficient MoE coding model for local and hosted coding agents

Model Summary

Family

Qwen

Version

3.0

Parameters

80B (est.)

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

VRAM Requirements by Quantization

Memory needed to serve Qwen 3 Coder-Next (80B) for inference, including a 20% overhead for activations and KV cache.

PrecisionVRAM neededSmallest single GPU that fits
INT4 (4-bit)44.70 GBNVIDIA L40S (48 GB)
INT8 (8-bit)89.41 GBNVIDIA RTX PRO 6000 Blackwell (96 GB)
FP16 (16-bit)178.81 GBNVIDIA B200 SXM (192 GB)
FP32 (32-bit)357.63 GBMulti-GPU required

Recommended GPU Configurations

Cheapest on-demand configurations to serve Qwen 3 Coder-Next (80B) at 8-bit (89 GB VRAM).

1x AMD Instinct MI250X

128 GB total VRAM · CDNA 2

~$2.50/h

6x NVIDIA T4

96 GB total VRAM · Turing

~$3.00/h

6x NVIDIA P100 SXM2

96 GB total VRAM · Pascal

~$3.60/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 Coder-Next (80B)?

With an estimated 80B parameters, Qwen 3 Coder-Next (80B) needs roughly 89 GB of VRAM in 8-bit (INT8), 45 GB in 4-bit, and 179 GB in FP16, including a 20% overhead for activations and KV cache.

Which GPUs can run Qwen 3 Coder-Next (80B)?

At 8-bit quantization, the most cost-effective option is 1x AMD Instinct MI250X (128 GB combined VRAM, around $2.50/hour on-demand). Higher-end cards like the NVIDIA B200 or AMD MI355X reduce the GPU count needed.

Can Qwen 3 Coder-Next (80B) run on a single GPU?

Yes. In 8-bit, a single NVIDIA RTX PRO 6000 Blackwell (96 GB) fits the model.

How much does it cost to serve Qwen 3 Coder-Next (80B) in the cloud?

Renting 1x Instinct MI250X costs on the order of $2.50/hour, i.e. about $1,825/month running 24/7. Actual prices vary by provider and commitment; spot and reserved capacity can be significantly cheaper.