mistral-small:24b

OLLAMA GGUF

llama · 23.6B · Q4_K_M

Good

Jun 26, 2026 · Cortex-X925

qwen3.5-2b-mlx

LM-STUDIO MLX

qwen3_5 · 2B · 8bit

Good

Mar 3, 2026 · Apple M4

Global Score

75 vs 70

Hardware Fit

64 vs 93

Quality Score

80 vs 60

Hardware

mistral-small:24b qwen3.5-2b-mlx

MachineNVIDIA NVIDIA_DGX_SparkMacBook Air

CPUCortex-X925Apple M4

Cores2010

RAM122 GB32 GB

GPUDevice 2e12Apple M4

OSUbuntu 24.04.4 LTSmacOS 26.3

Archarm64arm64

Power Modeperformancebalanced

Performance

mistral-small:24b qwen3.5-2b-mlx

Tokens/sec14.332.9

First chunk327 ms3096 ms

TTFT327 ms3.1 s

Load time12.0 sN/A

Memory usage18.5 GB2.5 GB

Memory %15%8%

HW Fit Score Breakdown

mistral-small:24b

Speed

14/50

TTFT

20/20

Memory

30/30

qwen3.5-2b-mlx

Speed

50/50

TTFT

13/20

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

qwen3.5-2b-mlx

Reasoning

11/20

Coding

9/20

Instruction

14/20

Structured

14/15

Math

3/15

Multilingual

9/10

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

View mistral-small:24b details | View qwen3.5-2b-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