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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 · 8bit

Good

Mar 3, 2026 · Apple M4

Global Score
64 vs 60
Hardware Fit
100 vs 96
Quality Score
49 vs 44

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/sec51.8108.0
First chunkN/A2568 ms
TTFT84 ms2.6 s
Load time0.4 sN/A
Memory usage3.7 GB1.0 GB
Memory %12%3%

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
16/20
Memory
30/30

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
10/20
Coding
3/20
Instruction
11/20
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