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smollm2-1.7b-instruct

LM-STUDIO MLX

llama · 1.7B · bf16

Good

Mar 4, 2026 · Apple M4

qwen3.5-9b

LM-STUDIO GGUF

qwen35 · 9B · Q4_K_S

Excellent

Mar 12, 2026 · Apple M4 Pro

Global Score
65 vs 84
Hardware Fit
99 vs 91
Quality Score
51 vs 81

Hardware

smollm2-1.7b-instr… qwen3.5-9b
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM32 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced

Performance

smollm2-1.7b-instr… qwen3.5-9b
Tokens/sec28.530.2
First chunk393 ms499 ms
TTFT393 ms499 ms
Load timeN/AN/A
Memory usage3.2 GB6.7 GB
Memory %10%11%

HW Fit Score Breakdown

smollm2-1.7b-instruct

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

qwen3.5-9b

Speed
41/50
TTFT
20/20
Memory
30/30

Quality

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

qwen3.5-9b

Reasoning
16/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View smollm2-1.7b-instr… details | View qwen3.5-9b 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