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How much VRAM does Qwen3 Coder Next 80B need?

Qwen3 Coder Next 80B needs 45.0 GB for its weights at 4-bit, 46.0 GB with an 8K context and 46.6 GB with 32K. At 8-bit, 79.9 GB.

Parameters
79.7B
Active per token
3B
Longest context
256K
Released
Jan 2026
License
Apache 2.0
Strongest at
Coding, Agents

Memory at each precision

Memory Qwen3 Coder Next 80B needs at each precision and context length
PrecisionWeightsWith 8KWith 32KWith 128K
16-bit148 GB149 GB150 GB152 GB
8-bit78.8 GB79.9 GB80.5 GB82.7 GB
6-bit60.8 GB61.9 GB62.5 GB64.7 GB
5-bit52.8 GB53.8 GB54.4 GB56.6 GB
4-bit45.0 GB46.0 GB46.6 GB48.9 GB
3-bit36.3 GB37.3 GB37.9 GB40.1 GB
2-bit27.8 GB28.9 GB29.4 GB31.7 GB
1.6-bit15.3 GB16.4 GB16.9 GB19.2 GB

One conversation, 16-bit context cache, runtime overhead included.

What runs it

The best way Qwen3 Coder Next 80B runs on common GPUs, Macs and AI boxes
MachineBest fitContextSpeedFirst reply
RTX 3060 12 GBToo big
RTX 4060 Ti 16 GBToo big
RTX 3090Too big
RTX 4090Too big
RTX 5090Too big
2× RTX 30903-bit256K191 tok/s0.3 s
RTX PRO 6000 Blackwell8-bit256K182 tok/s0.3 s
M4 Max 128 GB8-bit256K63 tok/s2.9 s
M5 Max 128 GB8-bit256K67 tok/s0.9 s
Ryzen AI Max+ 395 128 GB8-bit256K39 tok/s2.2 s
DGX Spark 128 GB8-bit256K50 tok/s1.8 s
M3 Ultra 256 GB8-bit256K78 tok/s1.7 s
M5 Ultra 512 GB8-bit256K92 tok/s0.5 s
H100 SXM6-bit256K252 tok/s0.1 s
DGX Station GB3008-bit256K283 tok/s0.1 s
8× H200 NVL8-bit256K260 tok/s0.1 s

Best fit is the highest quality, up to 8-bit, that leaves 16K of context. First reply is the wait for a 2K prompt. Speeds are rough, plus or minus 25%.

How to run it

Ollama
ollama run qwen3-coder-next:latest
llama.cpp
llama-server -hf unsloth/Qwen3-Coder-Next-GGUF
vLLM
vllm serve Qwen/Qwen3-Coder-Next
MLX (Mac)
mlx_lm.chat --model mlx-community/Qwen3-Coder-Next-4bit

Questions

How much VRAM does Qwen3 Coder Next 80B need?

Qwen3 Coder Next 80B needs 45.0 GB for its weights at 4-bit, 46.0 GB with an 8K context and 46.6 GB with 32K. At 8-bit, 79.9 GB.

Can Qwen3 Coder Next 80B run on an RTX 4090?

Not on one card. The smallest machine here that runs it is the 2× RTX 3090.

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