Back to leaderboard

qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 6, 2026 · Apple M4 Pro

llama3.2:latest

OLLAMA GGUF

llama · 3.2B · Q4_K_M

Good

Feb 28, 2026 · Apple M4 Pro

Global Score
53 vs 73
Hardware Fit
89 vs 100
Quality Score
38 vs 61

Hardware

qwen3.5-0.8b-mlx llama3.2:latest
MachineMac miniMac Mini
CPUApple M4 ProApple M4 Pro
Cores1414
RAM64 GB64 GB
GPUApple M4 ProApple M4 Pro
OSmacOS 15.7.4macOS 15.7.4
Archarm64arm64
Power Modebalancedunknown

Performance

qwen3.5-0.8b-mlx llama3.2:latest
Tokens/sec52.998.9
First chunk4013 msN/A
TTFT4.0 s125 ms
Load timeN/A2.3 s
Memory usage0.6 GB22.1 GB
Memory %1%35%

HW Fit Score Breakdown

qwen3.5-0.8b-mlx

Speed
50/50
TTFT
9/20
Memory
30/30

llama3.2:latest

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

Quality

qwen3.5-0.8b-mlx

Reasoning
7/20
Coding
2/20
Instruction
12/20
Structured
10/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate

llama3.2:latest

Reasoning
11/20
Coding
14/20
Instruction
12/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
View qwen3.5-0.8b-mlx details | View llama3.2: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