Back to leaderboard

qwen3.5-9b-mlx

LM-STUDIO MLX

qwen3_5 · 9B · 4bit

Marginal

Mar 11, 2026 · Apple M4

qwen2-57b:57B

OLLAMA GGUF

qwen2moe · 57.4B · Q4_K_M

Good

Aug 18, 2026 · Intel Core™ i7-14700F

Global Score
58 vs 69
Hardware Fit
68 vs 51
Quality Score
54 vs 76

Hardware

qwen3.5-9b-mlx qwen2-57b:57B
MachineMac miniHP OMEN 35L VALORANT Limited Edition Gaming Desktop PC
CPUApple M4Intel Core™ i7-14700F
Cores1028
RAM24 GB64 GB
GPUApple M4NVIDIA GeForce RTX 5080
OSmacOS 26.3Microsoft Windows 11 Enterprise 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3.5-9b-mlx qwen2-57b:57B
Tokens/sec16.77.7
First chunk23 ms940 ms
TTFT14.1 s940 ms
Load timeN/A0.2 s
Memory usage7.8 GB33.3 GB
Memory %33%52%

HW Fit Score Breakdown

qwen3.5-9b-mlx

Speed
36/50
TTFT
3/20
Memory
29/30

qwen2-57b:57B

Speed
8/50
TTFT
19/20
Memory
24/30

Quality

qwen3.5-9b-mlx

Reasoning
10/20
Coding
16/20
Instruction
4/20
Structured
9/15
Math
10/15
Multilingual
5/10
Reasoning: Adequate Coding: Strong Instruction Following: Poor Structured Output: Adequate Math: Adequate Multilingual: Adequate

qwen2-57b:57B

Reasoning
14/20
Coding
15/20
Instruction
14/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate 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