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mistral-nemo:12b

OLLAMA GGUF

llama · 12.2B · Q4_0

Good

Mar 1, 2026 · Apple M4

qwen3.5:9b-q8_0

OLLAMA GGUF

qwen35 · 9.7B · Q8_0

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

Global Score
71 vs 86
Hardware Fit
86 vs 100
Quality Score
65 vs 80

Hardware

mistral-nemo:12b qwen3.5:9b-q8_0
MachineMacBook AirGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4
CPUApple M4Intel Core™ i5-14400F
Cores1016
RAM32 GB32 GB
GPUApple M4NVIDIA GeForce RTX 5060 Ti
OSmacOS 26.3Microsoft Windows 11 Professionnel 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

mistral-nemo:12b qwen3.5:9b-q8_0
Tokens/sec14.637.7
First chunkN/A120 ms
TTFT371 ms120 ms
Load time1.0 s8.3 s
Memory usage13.3 GB8.4 GB
Memory %42%26%

HW Fit Score Breakdown

mistral-nemo:12b

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

qwen3.5:9b-q8_0

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

Quality

mistral-nemo:12b

Reasoning
12/20
Coding
13/20
Instruction
11/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

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
View mistral-nemo:12b details | View qwen3.5:9b-q8_0 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