Back to leaderboard

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Good

Mar 5, 2026 · Intel Core™ i5-6500

smollm2-360m-instruct

LM-STUDIO MLX

llama · 360M · bf16

Marginal

Mar 4, 2026 · Apple M4

Global Score
61 vs 52
Hardware Fit
69 vs 100
Quality Score
58 vs 32

Hardware

qwen3.5:4b smollm2-360m-instr…
MachineGigabyte Technology Co., Ltd. H170M-D3HMacBook Air
CPUIntel Core™ i5-6500Apple M4
Cores410
RAM16 GB32 GB
GPUGP104 [GeForce GTX 1070]Apple M4
OSUbuntu 24.04.4 LTSmacOS 26.3
Archx64arm64
Power Modelow-powerbalanced

Performance

qwen3.5:4b smollm2-360m-instr…
Tokens/sec35.7121.1
First chunk438 ms106 ms
TTFT5.1 s106 ms
Load time40.1 sN/A
Memory usage5.5 GB0.7 GB
Memory %35%2%

HW Fit Score Breakdown

qwen3.5:4b

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

smollm2-360m-instruct

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

Quality

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

smollm2-360m-instruct

Reasoning
4/20
Coding
3/20
Instruction
12/20
Structured
7/15
Math
2/15
Multilingual
4/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Poor Multilingual: Weak
View qwen3.5:4b details | View smollm2-360m-instr… 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