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qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

qwen3.5-9b-mlx

LM-STUDIO MLX

qwen3_5 · 9B · 4bit

Marginal

Mar 11, 2026 · Apple M4

Global Score
81 vs 59
Hardware Fit
95 vs 65
Quality Score
75 vs 57

Hardware

qwen3:8b qwen3.5-9b-mlx
MachineASUSMac mini
CPUIntel Core™ i5-14600KFApple M4
Cores2010
RAM32 GB24 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M4
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3:8b qwen3.5-9b-mlx
Tokens/sec108.314.3
First chunk169 ms24 ms
TTFT169 ms13.4 s
Load time1.7 s13.3 s
Memory usage5.6 GB2.5 GB
Memory %18%10%

HW Fit Score Breakdown

qwen3:8b

Speed
50/50
TTFT
20/20
Memory
25/30

qwen3.5-9b-mlx

Speed
32/50
TTFT
3/20
Memory
30/30

Quality

qwen3:8b

Reasoning
15/20
Coding
16/20
Instruction
14/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

qwen3.5-9b-mlx

Reasoning
10/20
Coding
17/20
Instruction
5/20
Structured
9/15
Math
11/15
Multilingual
5/10
Reasoning: Weak Coding: Strong Instruction Following: Weak Structured Output: Adequate Math: Adequate Multilingual: Adequate
View qwen3:8b details | View qwen3.5-9b-mlx 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