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qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 3, 2026 · Apple M4

smollm2-1.7b-instruct

LM-STUDIO MLX

llama · 1.7B · bf16

Good

Mar 4, 2026 · Apple M4

Global Score
55 vs 65
Hardware Fit
87 vs 99
Quality Score
41 vs 51

Hardware

qwen3.5-0.8b-mlx smollm2-1.7b-instr…
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5-0.8b-mlx smollm2-1.7b-instr…
Tokens/sec68.228.5
First chunk3268 ms393 ms
TTFT3.3 s393 ms
Load timeN/AN/A
Memory usage0.6 GB3.2 GB
Memory %2%10%

HW Fit Score Breakdown

qwen3.5-0.8b-mlx

Speed
50/50
TTFT
13/20
Memory
24/30

smollm2-1.7b-instruct

Speed
50/50
TTFT
20/20
Memory
29/30

Quality

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

smollm2-1.7b-instruct

Reasoning
10/20
Coding
10/20
Instruction
13/20
Structured
11/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate
View qwen3.5-0.8b-mlx details | View smollm2-1.7b-instr… 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