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llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

qwen3.5:27b

OLLAMA GGUF

qwen35 · 27.8B · Q4_K_M

Good

Mar 10, 2026 · Apple M4

Global Score
81 vs 66
Hardware Fit
100 vs 34
Quality Score
73 vs 80

Hardware

llama3.1:8b qwen3.5:27b
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4Mac mini
CPUIntel Core™ i5-14400FApple M4
Cores1610
RAM32 GB24 GB
GPUNVIDIA GeForce RTX 5060 TiApple M4
OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

llama3.1:8b qwen3.5:27b
Tokens/sec70.24.0
First chunk58 ms1655 ms
TTFT58 ms1.7 s
Load time4.1 s12.9 s
Memory usage4.9 GB21.3 GB
Memory %15%89%

HW Fit Score Breakdown

llama3.1:8b

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

qwen3.5:27b

Speed
8/50
TTFT
20/20
Memory
6/30

Quality

llama3.1:8b

Reasoning
12/20
Coding
18/20
Instruction
15/20
Structured
13/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

qwen3.5:27b

Reasoning
16/20
Coding
18/20
Instruction
9/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Strong Math: Strong Multilingual: Strong
View llama3.1:8b 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