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qwen3.5:9b-q8_0

OLLAMA GGUF

qwen35 · 9.7B · Q8_0

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

mistral:7b

OLLAMA GGUF

llama · 7.2B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

Global Score
86 vs 70
Hardware Fit
100 vs 94
Quality Score
80 vs 60

Hardware

qwen3.5:9b-q8_0 mistral:7b
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 mistral:7b
Tokens/sec37.722.5
First chunk120 ms252 ms
TTFT120 ms252 ms
Load time8.3 s0.7 s
Memory usage8.4 GB10.1 GB
Memory %26%32%

HW Fit Score Breakdown

qwen3.5:9b-q8_0

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

mistral:7b

Speed
44/50
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

mistral:7b

Reasoning
8/20
Coding
12/20
Instruction
14/20
Structured
14/15
Math
4/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View qwen3.5:9b-q8_0 details | View mistral: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