Smaller alternatives
Models that need less memory than Qwen3 Coder Next and score about as well or better.
Qwen3 Coder Next
MoE
Qwen · 79.7B (3B active) · Mixture of experts
Qwen3 Coder Next is a 79.7B model from Qwen with a 256K-token context. At Q4_K_M with an 8K context it needs about 45.7 GB; 59 GB leaves room for longer chats.
Mixture of experts
Parameters: 79.7B · Active: 3B
All 79.7B parameters load into memory, but only 3B work on each token, so it runs at the speed of a much smaller model.
Quantization options
| Quant | Bits | Memory | Quality | On your hardware |
|---|---|---|---|---|
| Q2_K | 3.16 | — | Noticeably worse | … |
| Q3_K_M | 4 | — | Some loss | … |
| Q4_K_M | 4.89 | — | Good | … |
| Q5_K_M | 5.7 | — | Good | … |
| Q6_K | 6.56 | — | Near original | … |
| Q8_0 | 8.5 | — | Near original | … |
| F16 | 16 | — | Original | … |
Memory by context length
At Q4_K_M. The context cache grows with every token the model keeps in mind.
| Context | Context cache | Total |
|---|---|---|
| 4K | 0.1 GB | 45.6 GB |
| 8K | 0.2 GB | 45.7 GB |
| 32K | 0.8 GB | 46.2 GB |
| 128K | 3 GB | 48.5 GB |
| 256K | 6 GB | 51.5 GB |
Next steps
Compare it with
Scored models of a similar size, side by side on your device.
Least hardware that runs it well
Desktop devices with the least memory that give Qwen3 Coder Next grade A or S at Q4_K_M.
Can I run Qwen3 Coder Next locally?
Can I run Qwen3 Coder Next locally?
Yes, if your GPU or Mac has about 45.7 GB free for it at Q4_K_M. Open this page on that computer to see the grade for your exact hardware, then start it with llama.cpp, Ollama or LM Studio.
How much memory does Qwen3 Coder Next need?
About 45.7 GB at Q4_K_M with an 8K context and 79.5 GB at Q8_0. Lower quantizations fit smaller cards with some loss in quality; longer contexts add to the total.