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qwen3.5:9b-q8_0

OLLAMA GGUF

qwen35 · 9.7B · Q8_0

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

dolphin3:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

Global Score
86 vs 74
Hardware Fit
100 vs 92
Quality Score
80 vs 66

Hardware

qwen3.5:9b-q8_0 dolphin3:8b
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4MacBook Air
CPUIntel Core™ i5-14400FApple M4
Cores1610
RAM32 GB32 GB
GPUNVIDIA GeForce RTX 5060 TiApple M4
OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3.5:9b-q8_0 dolphin3:8b
Tokens/sec37.721.0
First chunk120 ms314 ms
TTFT120 ms314 ms
Load time8.3 s0.8 s
Memory usage8.4 GB10.4 GB
Memory %26%33%

HW Fit Score Breakdown

qwen3.5:9b-q8_0

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

dolphin3:8b

Speed
42/50
TTFT
20/20
Memory
30/30

Quality

qwen3.5:9b-q8_0

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

dolphin3:8b

Reasoning
12/20
Coding
13/20
Instruction
13/20
Structured
14/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak 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