mistral-small:24b

OLLAMA GGUF

llama · 23.6B · Q4_K_M

Good

Jun 26, 2026 · Cortex-X925

qwen3.5-27b-claude-4.6-opus-distilled-mlx

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Not Rec.

Mar 10, 2026 · Apple M4

Global Score

75 vs 34

Hardware Fit

64 vs 21

Quality Score

80 vs 39

Hardware

mistral-small:24b qwen3.5-27b-claude…

MachineNVIDIA NVIDIA_DGX_SparkMac mini

CPUCortex-X925Apple M4

Cores2010

RAM122 GB24 GB

GPUDevice 2e12Apple M4

OSUbuntu 24.04.4 LTSmacOS 26.3

Archarm64arm64

Power Modeperformancebalanced

Performance

mistral-small:24b qwen3.5-27b-claude…

Tokens/sec14.36.1

First chunk327 ms7 ms

TTFT327 ms22.9 s

Load time12.0 sN/A

Memory usage18.5 GB19.8 GB

Memory %15%82%

HW Fit Score Breakdown

mistral-small:24b

Speed

14/50

TTFT

20/20

Memory

30/30

qwen3.5-27b-claude-4.6-…

Speed

12/50

TTFT

0/20

Memory

9/30

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

qwen3.5-27b-claude-4.6-…

Reasoning

1/20

Coding

14/20

Instruction

5/20

Structured

8/15

Math

4/15

Multilingual

7/10

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

View mistral-small:24b details | View qwen3.5-27b-claude… 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