mistral-small:24b

OLLAMA GGUF

llama · 23.6B · Q4_K_M

Good

Jun 26, 2026 · Cortex-X925

qwen3.8-27b-mlx

LM-STUDIO UNKNOWN

27B

Good

Aug 17, 2026 · Apple M5 Max

Global Score

75 vs 66

Hardware Fit

64 vs 91

Quality Score

80 vs 55

Hardware

mistral-small:24b qwen3.8-27b-mlx

MachineNVIDIA NVIDIA_DGX_SparkMacBook Pro

CPUCortex-X925Apple M5 Max

Cores2018

RAM122 GB64 GB

GPUDevice 2e12Apple M5 Max

OSUbuntu 24.04.4 LTSmacOS 27.0

Archarm64arm64

Power Modeperformancebalanced

Performance

mistral-small:24b qwen3.8-27b-mlx

Tokens/sec14.333.2

First chunk327 ms7 ms

TTFT327 ms311 ms

Load time12.0 sN/A

Memory usage18.5 GB0.5 GB

Memory %15%1%

HW Fit Score Breakdown

mistral-small:24b

Speed

14/50

TTFT

20/20

Memory

30/30

qwen3.8-27b-mlx

Speed

41/50

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

qwen3.8-27b-mlx

Reasoning

19/20

Coding

13/20

Instruction

6/20

Structured

0/15

Math

14/15

Multilingual

3/10

Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak

View mistral-small:24b details | View qwen3.8-27b-mlx 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