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smollm2-1.7b-instruct

LM-STUDIO MLX

llama · 1.7B · bf16

Good

Mar 4, 2026 · Apple M4

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Good

Mar 5, 2026 · Intel Core™ i5-6500

Global Score
65 vs 61
Hardware Fit
99 vs 69
Quality Score
51 vs 58

Hardware

smollm2-1.7b-instr… qwen3.5:4b
MachineMacBook AirGigabyte Technology Co., Ltd. H170M-D3H
CPUApple M4Intel Core™ i5-6500
Cores104
RAM32 GB16 GB
GPUApple M4GP104 [GeForce GTX 1070]
OSmacOS 26.3Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

smollm2-1.7b-instr… qwen3.5:4b
Tokens/sec28.535.7
First chunk393 ms438 ms
TTFT393 ms5.1 s
Load timeN/A40.1 s
Memory usage3.2 GB5.5 GB
Memory %10%35%

HW Fit Score Breakdown

smollm2-1.7b-instruct

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

qwen3.5:4b

Speed
50/50
TTFT
11/20
Memory
8/30

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

qwen3.5:4b

Reasoning
18/20
Coding
1/20
Instruction
8/20
Structured
8/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Weak Structured Output: Adequate Math: Strong Multilingual: Strong

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