Back to leaderboard

hermes3:8b

OLLAMA GGUF

llama · 8.0B · Q4_0

Good

Mar 6, 2026 · Apple M4

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
74 vs 85
Hardware Fit
94 vs 96
Quality Score
65 vs 80

Hardware

hermes3:8b qwen3.5:9b
MachineMacBook AirASUS
CPUApple M4Intel Core™ i5-14600KF
Cores1020
RAM32 GB32 GB
GPUApple M4NVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 26.3Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

hermes3:8b qwen3.5:9b
Tokens/sec22.388.6
First chunk296 ms306 ms
TTFT296 ms306 ms
Load time0.8 s7.0 s
Memory usage10.2 GB8.1 GB
Memory %32%25%

HW Fit Score Breakdown

hermes3:8b

Speed
44/50
TTFT
20/20
Memory
30/30

qwen3.5:9b

Speed
50/50
TTFT
20/20
Memory
26/30

Quality

hermes3:8b

Reasoning
11/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

qwen3.5:9b

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

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