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mistral-small:24b

OLLAMA GGUF

llama · 23.6B · Q4_K_M

Good

Jun 26, 2026 · Cortex-X925

qwen3.5:9b-q8_0

OLLAMA GGUF

qwen35 · 9.7B · Q8_0

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

Global Score
75 vs 86
Hardware Fit
64 vs 100
Quality Score
80 vs 80

Hardware

mistral-small:24b qwen3.5:9b-q8_0
MachineNVIDIA NVIDIA_DGX_SparkGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4
CPUCortex-X925Intel Core™ i5-14400F
Cores2016
RAM122 GB32 GB
GPUDevice 2e12NVIDIA GeForce RTX 5060 Ti
OSUbuntu 24.04.4 LTSMicrosoft Windows 11 Professionnel 10.0.26200
Archarm64x64
Power Modeperformancebalanced

Performance

mistral-small:24b qwen3.5:9b-q8_0
Tokens/sec14.337.7
First chunk327 ms120 ms
TTFT327 ms120 ms
Load time12.0 s8.3 s
Memory usage18.5 GB8.4 GB
Memory %15%26%

HW Fit Score Breakdown

mistral-small:24b

Speed
14/50
TTFT
20/20
Memory
30/30

qwen3.5:9b-q8_0

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

Quality

mistral-small:24b

Reasoning
16/20
Coding
18/20
Instruction
14/20
Structured
13/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate 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-small:24b 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