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qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Aug 19, 2026 · Apple M4 Max

qwen3-vl:8b

OLLAMA GGUF

qwen3vl · 8.8B · Q4_K_M

Good

Apr 28, 2026 · Intel Xeon® Gold 6230

Global Score
84 vs 72
Hardware Fit
69 vs 89
Quality Score
90 vs 64

Hardware

qwen/qwen3.8-27b qwen3-vl:8b
MachineMacBook ProHP HP Z8 G4 Workstation
CPUApple M4 MaxIntel Xeon® Gold 6230
Cores1680
RAM128 GB252 GB
GPUApple M4 MaxTU104GL [Quadro RTX 5000]
OSmacOS 26.5.2Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

qwen/qwen3.8-27b qwen3-vl:8b
Tokens/sec28.968.2
First chunk33 ms285 ms
TTFT4.4 s2.0 s
Load time7.9 s42.4 s
Memory usage0.0 GB7.1 GB
Memory %0%3%

HW Fit Score Breakdown

qwen/qwen3.8-27b

Speed
33/50
TTFT
6/20
Memory
30/30

qwen3-vl:8b

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

Quality

qwen/qwen3.8-27b

Reasoning
19/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

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 qwen/qwen3.8-27b details | View qwen3-vl:8b details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest