qwen2.5-coder-1.5b-instruct-mlx

LM-STUDIO MLX

qwen2 · 1.5B · 8bit

Good

Mar 4, 2026 · Apple M4

mistralai/magistral-small-2509

LM-STUDIO MLX

mistral3 · 24B · 4bit

Good

Mar 4, 2026 · Apple M4

Global Score

70 vs 74

Hardware Fit

100 vs 66

Quality Score

57 vs 78

Hardware

qwen2.5-coder-1.5b… mistralai/magistra…

MachineMacBook AirMacBook Air

CPUApple M4Apple M4

Cores1010

RAM32 GB32 GB

GPUApple M4Apple M4

OSmacOS 26.3macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

qwen2.5-coder-1.5b… mistralai/magistra…

Tokens/sec58.47.9

First chunk234 ms1356 ms

TTFT234 ms1.4 s

Load timeN/AN/A

Memory usage1.5 GB13.2 GB

Memory %5%41%

HW Fit Score Breakdown

qwen2.5-coder-1.5b-inst…

Speed

50/50

TTFT

20/20

Memory

30/30

mistralai/magistral-sma…

Speed

16/50

TTFT

20/20

Memory

30/30

Quality

qwen2.5-coder-1.5b-inst…

Reasoning

9/20

Coding

12/20

Instruction

13/20

Structured

12/15

Math

4/15

Multilingual

7/10

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

mistralai/magistral-sma…

Reasoning

14/20

Coding

18/20

Instruction

14/20

Structured

15/15

Math

7/15

Multilingual

10/10

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

View qwen2.5-coder-1.5b… details | View mistralai/magistra… 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