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smollm2:1.7b

OLLAMA GGUF

llama · 1.7B · Q8_0

Good

Mar 2, 2026 · Apple M4

qwen/qwen3-30b-a3b-2507

LM-STUDIO MLX

qwen3_moe · 30B · 4bit

Excellent

Mar 4, 2026 · Apple M4

Global Score
64 vs 94
Hardware Fit
100 vs 100
Quality Score
49 vs 91

Hardware

smollm2:1.7b qwen/qwen3-30b-a3b…
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 qwen/qwen3-30b-a3b…
Tokens/sec51.844.8
First chunkN/A405 ms
TTFT84 ms405 ms
Load time0.4 sN/A
Memory usage3.7 GB16.0 GB
Memory %12%50%

HW Fit Score Breakdown

smollm2:1.7b

Speed
40/50
TTFT
30/20
Memory
30/30

qwen/qwen3-30b-a3b-2507

Speed
50/50
TTFT
20/20
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

qwen/qwen3-30b-a3b-2507

Reasoning
17/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View smollm2:1.7b details | View qwen/qwen3-30b-a3b… 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