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qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Good

Mar 5, 2026 · Intel Gen Intel® Core™ i7-13700K

qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 6, 2026 · Apple M4 Pro

Global Score
77 vs 53
Hardware Fit
75 vs 89
Quality Score
78 vs 38

Hardware

qwen3.5:9b qwen3.5-0.8b-mlx
MachineASUSMac mini
CPUIntel Gen Intel® Core™ i7-13700KApple M4 Pro
Cores2414
RAM64 GB64 GB
GPUNVIDIA GeForce RTX 3070Apple M4 Pro
OSMicrosoft Windows 11 Pro 10.0.26200macOS 15.7.4
Archx64arm64
Power Modeunknownbalanced

Performance

qwen3.5:9b qwen3.5-0.8b-mlx
Tokens/sec30.552.9
First chunk291 ms4013 ms
TTFT291 ms4.0 s
Load time4.8 sN/A
Memory usage8.8 GB0.6 GB
Memory %14%1%

HW Fit Score Breakdown

qwen3.5:9b

Speed
34/50
TTFT
20/20
Memory
21/30

qwen3.5-0.8b-mlx

Speed
50/50
TTFT
9/20
Memory
30/30

Quality

qwen3.5:9b

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

qwen3.5-0.8b-mlx

Reasoning
7/20
Coding
2/20
Instruction
12/20
Structured
10/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate
View qwen3.5:9b details | View qwen3.5-0.8b-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