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qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

qwen3.5-27b

LM-STUDIO GGUF

qwen35 · 27B · Q4_K_M

Not Rec.

Mar 6, 2026 · Apple M4 Pro

Global Score
81 vs 26
Hardware Fit
95 vs 63
Quality Score
75 vs 10

Hardware

qwen3:8b qwen3.5-27b
MachineASUSMac mini
CPUIntel Core™ i5-14600KFApple M4 Pro
Cores2014
RAM32 GB64 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M4 Pro
OSMicrosoft Windows 11 Famille 10.0.26200macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3:8b qwen3.5-27b
Tokens/sec108.39.5
First chunk169 ms1099 ms
TTFT169 ms1.1 s
Load time1.7 sN/A
Memory usage5.6 GB16.3 GB
Memory %18%25%

HW Fit Score Breakdown

qwen3:8b

Speed
50/50
TTFT
20/20
Memory
25/30

qwen3.5-27b

Speed
13/50
TTFT
20/20
Memory
30/30

Quality

qwen3:8b

Reasoning
15/20
Coding
16/20
Instruction
14/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

qwen3.5-27b

Reasoning
0/20
Coding
0/20
Instruction
2/20
Structured
0/15
Math
1/15
Multilingual
7/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Adequate
View qwen3:8b details | View qwen3.5-27b 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