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qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Apr 28, 2026 · Intel Xeon® Gold 6230

qwen/qwen3.6-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Oct 22, 2026 · Apple M1 Pro

Global Score
80 vs 80
Hardware Fit
85 vs 56
Quality Score
78 vs 90

Hardware

qwen3:8b qwen/qwen3.6-27b
MachineHP HP Z8 G4 WorkstationMacBook Pro
CPUIntel Xeon® Gold 6230Apple M1 Pro
Cores8010
RAM252 GB32 GB
GPUTU104GL [Quadro RTX 5000]Apple M1 Pro
OSUbuntu 24.04.4 LTSmacOS 15.6.1
Archx64arm64
Power Modelow-powerbalanced

Performance

qwen3:8b qwen/qwen3.6-27b
Tokens/sec65.110.8
First chunk289 ms16 ms
TTFT4.2 s2.6 s
Load time4.6 sN/A
Memory usage5.6 GB21.0 GB
Memory %2%66%

HW Fit Score Breakdown

qwen3:8b

Speed
50/50
TTFT
5/20
Memory
30/30

qwen/qwen3.6-27b

Speed
23/50
TTFT
16/20
Memory
17/30

Quality

qwen3:8b

Reasoning
17/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong

qwen/qwen3.6-27b

Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen3:8b details | View qwen/qwen3.6-27b 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