smollm2:1.7b

OLLAMA GGUF

llama · 1.7B · Q8_0

Good

Mar 2, 2026 · Apple M4

qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 3, 2026 · Apple M4

Global Score

64 vs 55

Hardware Fit

100 vs 87

Quality Score

49 vs 41

Hardware

smollm2:1.7b qwen3.5-0.8b-mlx

MachineMacBook AirMacBook Air

CPUApple M4Apple M4

Cores1010

RAM32 GB32 GB

GPUApple M4Apple M4

OSmacOS 26.3macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

smollm2:1.7b qwen3.5-0.8b-mlx

Tokens/sec51.868.2

First chunkN/A3268 ms

TTFT84 ms3.3 s

Load time0.4 sN/A

Memory usage3.7 GB0.6 GB

Memory %12%2%

HW Fit Score Breakdown

smollm2:1.7b

Speed

40/50

TTFT

30/20

Memory

30/30

qwen3.5-0.8b-mlx

Speed

50/50

TTFT

13/20

Memory

24/30

Quality

smollm2:1.7b

Reasoning

7/20

Coding

10/20

Instruction

12/20

Structured

13/15

Math

1/15

Multilingual

6/10

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

qwen3.5-0.8b-mlx

Reasoning

8/20

Coding

1/20

Instruction

12/20

Structured

12/15

Math

3/15

Multilingual

5/10

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

View smollm2:1.7b details | View qwen3.5-0.8b-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