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

LM-STUDIO MLX

qwen2 · 1.5B · 8bit

Good

Mar 4, 2026 · Apple M4

deepseek-coder:6.7b

OLLAMA GGUF

llama · 7B · Q4_0

Marginal

Mar 2, 2026 · Apple M4

Global Score

70 vs 57

Hardware Fit

100 vs 98

Quality Score

57 vs 39

Hardware

qwen2.5-coder-1.5b… deepseek-coder:6.7b

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… deepseek-coder:6.7b

Tokens/sec58.424.1

First chunk234 msN/A

TTFT234 ms251 ms

Load timeN/A0.9 s

Memory usage1.5 GB12.6 GB

Memory %5%39%

HW Fit Score Breakdown

qwen2.5-coder-1.5b-inst…

Speed

50/50

TTFT

20/20

Memory

30/30

deepseek-coder:6.7b

Speed

38/50

TTFT

30/20

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

deepseek-coder:6.7b

Reasoning

4/20

Coding

14/20

Instruction

9/20

Structured

6/15

Math

1/15

Multilingual

5/10

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

View qwen2.5-coder-1.5b… details | View deepseek-coder:6.7b 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