Back to leaderboard

qwen3.5-9b

LM-STUDIO GGUF

qwen35 · 9B · Q4_K_M

Good

Mar 6, 2026 · Apple M4 Pro

smollm2-1.7b-instruct

LM-STUDIO GGUF

llama · 1.7B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

Global Score
72 vs 48
Hardware Fit
89 vs 63
Quality Score
65 vs 41

Hardware

qwen3.5-9b smollm2-1.7b-instr…
MachineMac miniLENOVO 20BUS00700
CPUApple M4 ProIntel Core™ i5-5300U
Cores144
RAM64 GB16 GB
GPUApple M4 ProIntel(R) HD Graphics 5500
OSmacOS 15.7.4Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3.5-9b smollm2-1.7b-instr…
Tokens/sec28.96.6
First chunk338 ms3184 ms
TTFT338 ms3.2 s
Load timeN/AN/A
Memory usage6.1 GB1.0 GB
Memory %10%6%

HW Fit Score Breakdown

qwen3.5-9b

Speed
39/50
TTFT
20/20
Memory
30/30

smollm2-1.7b-instruct

Speed
23/50
TTFT
15/20
Memory
25/30

Quality

qwen3.5-9b

Reasoning
17/20
Coding
15/20
Instruction
6/20
Structured
7/15
Math
12/15
Multilingual
8/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Weak Math: Strong Multilingual: Strong

smollm2-1.7b-instruct

Reasoning
5/20
Coding
7/20
Instruction
12/20
Structured
10/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak

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