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qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Good

Aug 28, 2026 · Intel Core™ i5-10210U

smollm2-1.7b-instruct

LM-STUDIO MLX

llama · 1.7B · bf16

Good

Mar 4, 2026 · Apple M4

Global Score
64 vs 65
Hardware Fit
69 vs 99
Quality Score
62 vs 51

Hardware

qwen3.5:4b smollm2-1.7b-instr…
MachineLENOVO 20U30029MBMacBook Air
CPUIntel Core™ i5-10210UApple M4
Cores810
RAM15 GB32 GB
GPUCometLake-U GT2 [UHD Graphics]Apple M4
OSPop 24.04 LTSmacOS 26.3
Archx64arm64
Power Modeperformancebalanced

Performance

qwen3.5:4b smollm2-1.7b-instr…
Tokens/sec7.428.5
First chunk1815 ms393 ms
TTFT1.8 s393 ms
Load time10.9 sN/A
Memory usage3.5 GB3.2 GB
Memory %23%10%

HW Fit Score Breakdown

qwen3.5:4b

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

smollm2-1.7b-instruct

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

Quality

qwen3.5:4b

Reasoning
15/20
Coding
14/20
Instruction
6/20
Structured
12/15
Math
6/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Weak Structured Output: Strong Math: Weak Multilingual: Strong

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

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