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qwen3.8-27b-mlx

LM-STUDIO MLX

qwen3_5 · 27B · 8bit

Marginal

Aug 17, 2026 · Apple M5 Max

qwen3-vl:8b

OLLAMA GGUF

qwen3vl · 8.8B · Q4_K_M

Good

Apr 28, 2026 · Intel Xeon® Gold 6230

Global Score
59 vs 72
Hardware Fit
63 vs 89
Quality Score
58 vs 64

Hardware

qwen3.8-27b-mlx qwen3-vl:8b
MachineMacBook ProHP HP Z8 G4 Workstation
CPUApple M5 MaxIntel Xeon® Gold 6230
Cores1880
RAM64 GB252 GB
GPUApple M5 MaxTU104GL [Quadro RTX 5000]
OSmacOS 27.0Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

qwen3.8-27b-mlx qwen3-vl:8b
Tokens/sec18.368.2
First chunk4 ms285 ms
TTFT530 ms2.0 s
Load timeN/A42.4 s
Memory usage38.5 GB7.1 GB
Memory %60%3%

HW Fit Score Breakdown

qwen3.8-27b-mlx

Speed
23/50
TTFT
20/20
Memory
20/30

qwen3-vl:8b

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

Quality

qwen3.8-27b-mlx

Reasoning
19/20
Coding
14/20
Instruction
6/20
Structured
1/15
Math
13/15
Multilingual
5/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak

qwen3-vl:8b

Reasoning
16/20
Coding
3/20
Instruction
10/20
Structured
11/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Strong Multilingual: Strong
View qwen3.8-27b-mlx details | View qwen3-vl:8b 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