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llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Good

Mar 2, 2026 · Apple M4

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score
75 vs 89
Hardware Fit
93 vs 95
Quality Score
67 vs 87

Hardware

llama3.1:8b qwen/qwen3-8b
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM32 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced

Performance

llama3.1:8b qwen/qwen3-8b
Tokens/sec20.333.4
First chunkN/A257 ms
TTFT315 ms257 ms
Load time1.1 sN/A
Memory usage10.4 GB4.3 GB
Memory %33%7%

HW Fit Score Breakdown

llama3.1:8b

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

qwen/qwen3-8b

Speed
45/50
TTFT
20/20
Memory
30/30

Quality

llama3.1:8b

Reasoning
12/20
Coding
15/20
Instruction
13/20
Structured
13/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

qwen/qwen3-8b

Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View llama3.1:8b details | View qwen/qwen3-8b 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