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qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Good

Mar 7, 2026 · AMD Ryzen 5 5500

hermes3:8b

OLLAMA GGUF

llama · 8.0B · Q4_0

Good

Mar 6, 2026 · Apple M4

Global Score
71 vs 74
Hardware Fit
56 vs 94
Quality Score
78 vs 65

Hardware

qwen3.5:9b hermes3:8b
MachineSystem manufacturerMacBook Air
CPUAMD Ryzen 5 5500Apple M4
Cores1210
RAM16 GB32 GB
GPUNVIDIA GeForce RTX 3060Apple M4
OSMicrosoft Windows 11 IoT Enterprise LTSC 10.0.26100macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3.5:9b hermes3:8b
Tokens/sec5.322.3
First chunk1624 ms296 ms
TTFT1.6 s296 ms
Load time4.0 s0.8 s
Memory usage7.9 GB10.2 GB
Memory %50%32%

HW Fit Score Breakdown

qwen3.5:9b

Speed
11/50
TTFT
20/20
Memory
25/30

hermes3:8b

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

Quality

qwen3.5:9b

Reasoning
14/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

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
View qwen3.5:9b details | View hermes3:8b 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