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smollm2-1.7b-instruct

LM-STUDIO MLX

llama · 1.7B · bf16

Good

Mar 4, 2026 · Apple M4

qwen3-coder:30b-a3b-q8_0

OLLAMA GGUF

qwen3moe · 30.5B · Q8_0

Excellent

Jun 18, 2026 · Intel Core™ Ultra 9 285HX

Global Score
65 vs 90
Hardware Fit
99 vs 89
Quality Score
51 vs 90

Hardware

smollm2-1.7b-instr… qwen3-coder:30b-a3…
MachineMacBook AirMicro-Star International Co., Ltd. Titan 18 HX AI A2XWJG
CPUApple M4Intel Core™ Ultra 9 285HX
Cores1024
RAM32 GB63 GB
GPUApple M4Intel(R) Graphics, NVIDIA GeForce RTX 5090 Laptop GPU
OSmacOS 26.3Microsoft Windows 11 Home Single Language 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

smollm2-1.7b-instr… qwen3-coder:30b-a3…
Tokens/sec28.543.1
First chunk393 ms957 ms
TTFT393 ms957 ms
Load timeN/A52.0 s
Memory usage3.2 GB33.6 GB
Memory %10%53%

HW Fit Score Breakdown

smollm2-1.7b-instruct

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

qwen3-coder:30b-a3b-q8_0

Speed
46/50
TTFT
19/20
Memory
24/30

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-coder:30b-a3b-q8_0

Reasoning
17/20
Coding
19/20
Instruction
18/20
Structured
15/15
Math
11/15
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-coder:30b-a3… 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