Back to leaderboard

qwen3.5-9b

LM-STUDIO GGUF

qwen35 · 9B · Q4_K_S

Excellent

Mar 12, 2026 · Apple M4 Pro

vicuna:7b

OLLAMA GGUF

llama · 7B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

Global Score
84 vs 59
Hardware Fit
91 vs 97
Quality Score
81 vs 43

Hardware

qwen3.5-9b vicuna:7b
MachineMac miniMacBook Air
CPUApple M4 ProApple M4
Cores1410
RAM64 GB32 GB
GPUApple M4 ProApple M4
OSmacOS 15.7.4macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5-9b vicuna:7b
Tokens/sec30.223.4
First chunk499 msN/A
TTFT499 ms242 ms
Load timeN/A0.4 s
Memory usage6.7 GB5.8 GB
Memory %11%18%

HW Fit Score Breakdown

qwen3.5-9b

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

vicuna:7b

Speed
37/50
TTFT
30/20
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

vicuna:7b

Reasoning
8/20
Coding
4/20
Instruction
10/20
Structured
12/15
Math
2/15
Multilingual
7/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
View qwen3.5-9b details | View vicuna:7b 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