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qwen3-coder-next:latest

OLLAMA GGUF

qwen3next · 79.7B · Q4_K_M

Excellent

Mar 5, 2026 · AMD RYZEN AI MAX+ 395

mlx-community/meta-llama-3.1-8b-instruct

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score
82 vs 77
Hardware Fit
71 vs 100
Quality Score
87 vs 67

Hardware

qwen3-coder-next:l… mlx-community/meta…
MachineAZW GTR ProMac mini
CPUAMD RYZEN AI MAX+ 395Apple M4 Pro
Cores3214
RAM125 GB64 GB
GPUAMD Radeon 8060SApple M4 Pro
OSUbuntu 24.04.4 LTSmacOS 15.7.4
Archx64arm64
Power Modeperformancebalanced

Performance

qwen3-coder-next:l… mlx-community/meta…
Tokens/sec34.554.3
First chunk262 ms277 ms
TTFT262 ms277 ms
Load time16.4 sN/A
Memory usage56.8 GB4.2 GB
Memory %46%7%

HW Fit Score Breakdown

qwen3-coder-next:latest

Speed
34/50
TTFT
20/20
Memory
17/30

mlx-community/meta-llam…

Speed
50/50
TTFT
20/20
Memory
30/30

Quality

qwen3-coder-next:latest

Reasoning
18/20
Coding
18/20
Instruction
13/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong

mlx-community/meta-llam…

Reasoning
11/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
View qwen3-coder-next:l… details | View mlx-community/meta… details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest