Back to leaderboard

qwen3.5-2b-mlx

LM-STUDIO MLX

qwen3_5 · 2B · 8bit

Good

Mar 3, 2026 · Apple M4

tinyllama:1.1b

OLLAMA GGUF

llama · 1B · Q4_0

Marginal

Mar 2, 2026 · Apple M4

Global Score
70 vs 43
Hardware Fit
93 vs 100
Quality Score
60 vs 19

Hardware

qwen3.5-2b-mlx tinyllama:1.1b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5-2b-mlx tinyllama:1.1b
Tokens/sec32.9121.0
First chunk3096 msN/A
TTFT3.1 s82 ms
Load timeN/A0.4 s
Memory usage2.5 GB0.7 GB
Memory %8%2%

HW Fit Score Breakdown

qwen3.5-2b-mlx

Speed
50/50
TTFT
13/20
Memory
30/30

tinyllama:1.1b

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

Quality

qwen3.5-2b-mlx

Reasoning
11/20
Coding
9/20
Instruction
14/20
Structured
14/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

tinyllama:1.1b

Reasoning
2/20
Coding
1/20
Instruction
6/20
Structured
7/15
Math
0/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Weak

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