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qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Marginal

Mar 5, 2026 · Apple M1 Max

Global Score
89 vs 53
Hardware Fit
95 vs 72
Quality Score
87 vs 45

Hardware

qwen/qwen3-8b qwen3.5:9b
MachineMac miniMacBook Pro
CPUApple M4 ProApple M1 Max
Cores1410
RAM64 GB32 GB
GPUApple M4 ProApple M1 Max
OSmacOS 15.7.4macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen/qwen3-8b qwen3.5:9b
Tokens/sec33.418.6
First chunk257 ms403 ms
TTFT257 ms10.2 s
Load timeN/A4.3 s
Memory usage4.3 GB9.1 GB
Memory %7%28%

HW Fit Score Breakdown

qwen/qwen3-8b

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

qwen3.5:9b

Speed
38/50
TTFT
4/20
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

qwen3.5:9b

Reasoning
12/20
Coding
3/20
Instruction
5/20
Structured
6/15
Math
11/15
Multilingual
8/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Adequate Multilingual: Strong

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