Back to leaderboard

qwen3.5-9b

LM-STUDIO GGUF

qwen35 · 9B · Q4_K_S

Excellent

Mar 12, 2026 · Apple M4 Pro

microllm-250m:latest

OLLAMA GGUF

llama · 256.74M · F16

Not Rec.

Jul 5, 2026 · Apple M4 Pro

Global Score
84 vs 34
Hardware Fit
91 vs 100
Quality Score
81 vs 6

Hardware

qwen3.5-9b microllm-250m:latest
MachineMac miniMac mini
CPUApple M4 ProApple M4 Pro
Cores1412
RAM64 GB24 GB
GPUApple M4 ProApple M4 Pro
OSmacOS 15.7.4macOS 26.5.2
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5-9b microllm-250m:latest
Tokens/sec30.2291.6
First chunk499 ms50 ms
TTFT499 ms79 ms
Load timeN/A0.0 s
Memory usage6.7 GB0.6 GB
Memory %11%2%

HW Fit Score Breakdown

qwen3.5-9b

Speed
41/50
TTFT
20/20
Memory
30/30

microllm-250m:latest

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

Quality

qwen3.5-9b

Reasoning
16/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

microllm-250m:latest

Reasoning
1/20
Coding
0/20
Instruction
5/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor

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