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qwen3.8:latest

OLLAMA GGUF

qwen35 · 27.3B · Q4_K_M

Good

Oct 2, 2026 · AMD Ryzen 9 5950X 16-Core Processor

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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score
68 vs 77
Hardware Fit
22 vs 100
Quality Score
88 vs 67

Hardware

qwen3.8:latest mlx-community/meta…
MachineSystem manufacturerMac mini
CPUAMD Ryzen 9 5950X 16-Core ProcessorApple M4 Pro
Cores3214
RAM32 GB64 GB
GPUNVIDIA GeForce RTX 3090Apple M4 Pro
OSMicrosoft Windows 11 Pro 10.0.26300macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3.8:latest mlx-community/meta…
Tokens/sec10.054.3
First chunk1041 ms277 ms
TTFT14.3 s277 ms
Load time22.3 sN/A
Memory usage26.2 GB4.2 GB
Memory %82%7%

HW Fit Score Breakdown

qwen3.8:latest

Speed
12/50
TTFT
1/20
Memory
9/30

mlx-community/meta-llam…

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

Quality

qwen3.8:latest

Reasoning
19/20
Coding
19/20
Instruction
10/20
Structured
15/15
Math
15/15
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 qwen3.8:latest 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