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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

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Good

Mar 3, 2026 · Apple M4

Global Score
81 vs 75
Hardware Fit
100 vs 54
Quality Score
73 vs 84

Hardware

llama3.1:8b qwen3.5-27b
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4MacBook Air
CPUIntel Core™ i5-14400FApple M4
Cores1610
RAM32 GB32 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/sec70.26.6
First chunk58 ms4364 ms
TTFT58 ms4.4 s
Load time4.1 sN/A
Memory usage4.9 GB15.0 GB
Memory %15%47%

HW Fit Score Breakdown

llama3.1:8b

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

qwen3.5-27b

Speed
13/50
TTFT
11/20
Memory
30/30

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
17/20
Coding
18/20
Instruction
11/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate 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