Back to leaderboard

mistral-small:24b

OLLAMA GGUF

llama · 23.6B · Q4_K_M

Good

Jun 26, 2026 · Cortex-X925

qwen3.5-9b

LM-STUDIO GGUF

qwen35 · 9B · Q4_K_M

Good

Mar 6, 2026 · Apple M4 Pro

Global Score
75 vs 72
Hardware Fit
64 vs 89
Quality Score
80 vs 65

Hardware

mistral-small:24b qwen3.5-9b
MachineNVIDIA NVIDIA_DGX_SparkMac mini
CPUCortex-X925Apple M4 Pro
Cores2014
RAM122 GB64 GB
GPUDevice 2e12Apple M4 Pro
OSUbuntu 24.04.4 LTSmacOS 15.7.4
Archarm64arm64
Power Modeperformancebalanced

Performance

mistral-small:24b qwen3.5-9b
Tokens/sec14.328.9
First chunk327 ms338 ms
TTFT327 ms338 ms
Load time12.0 sN/A
Memory usage18.5 GB6.1 GB
Memory %15%10%

HW Fit Score Breakdown

mistral-small:24b

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

qwen3.5-9b

Speed
39/50
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

Reasoning
17/20
Coding
15/20
Instruction
6/20
Structured
7/15
Math
12/15
Multilingual
8/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Weak Math: Strong Multilingual: Strong
View mistral-small:24b details | View qwen3.5-9b 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