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qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

tinyllama

OLLAMA GGUF
Marginal

Mar 6, 2026 · Apple M4

Global Score
89 vs 43
Hardware Fit
95 vs 100
Quality Score
87 vs 19

Hardware

qwen/qwen3-8b tinyllama
MachineMac miniMacBook Air
CPUApple M4 ProApple M4
Cores1410
RAM64 GB32 GB
GPUApple M4 ProApple M4
OSmacOS 15.7.4macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen/qwen3-8b tinyllama
Tokens/sec33.4133.4
First chunk257 ms61 ms
TTFT257 ms61 ms
Load timeN/A0.5 s
Memory usage4.3 GB0.2 GB
Memory %7%1%

HW Fit Score Breakdown

qwen/qwen3-8b

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

tinyllama

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

Quality

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

tinyllama

Reasoning
2/20
Coding
2/20
Instruction
7/20
Structured
5/15
Math
0/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Weak
View qwen/qwen3-8b details | View tinyllama details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

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Or run without installing: npx metrillm@latest