Back to leaderboard

qwen3.5:4b-mlx

OLLAMA GGUF

nvfp4

Marginal

Aug 24, 2026 · Apple M2

mistral:latest

OLLAMA GGUF

llama · 7.2B · Q4_K_M

Good

May 27, 2026 · AMD Ryzen 5 2600X Six-Core Processor

Global Score
53 vs 73
Hardware Fit
82 vs 100
Quality Score
41 vs 62

Hardware

qwen3.5:4b-mlx mistral:latest
MachineMac miniMicro-Star International Co., Ltd. MS-7B79
CPUApple M2AMD Ryzen 5 2600X Six-Core Processor
Cores812
RAM8 GB16 GB
GPUApple M2NVIDIA GeForce GTX 1080
OSmacOS 26.5.2Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3.5:4b-mlx mistral:latest
Tokens/sec24.731.7
First chunk302 ms102 ms
TTFT7.4 s102 ms
Load time3.2 s14.3 s
Memory usage3.8 GB4.8 GB
Memory %47%30%

HW Fit Score Breakdown

qwen3.5:4b-mlx

Speed
50/50
TTFT
6/20
Memory
26/30

mistral:latest

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

Quality

qwen3.5:4b-mlx

Reasoning
13/20
Coding
2/20
Instruction
4/20
Structured
4/15
Math
10/15
Multilingual
8/10
Reasoning: Adequate Coding: Poor Instruction Following: Poor Structured Output: Weak Math: Adequate Multilingual: Strong

mistral:latest

Reasoning
8/20
Coding
13/20
Instruction
16/20
Structured
12/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
View qwen3.5:4b-mlx details | View mistral:latest 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