Back to leaderboard

qwen3.5:2b

OLLAMA GGUF

qwen35 · 2.3B · Q8_0

Good

Mar 2, 2026 · Apple M4

deepseek-r1-distill-qwen-14b-mlx

LM-STUDIO MLX

qwen2 · 14B · 5bit

Not Rec.

Mar 11, 2026 · Apple M4

Global Score
73 vs 36
Hardware Fit
100 vs 53
Quality Score
62 vs 28

Hardware

qwen3.5:2b deepseek-r1-distil…
MachineMacBook AirMac mini
CPUApple M4Apple M4
Cores1010
RAM32 GB24 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5:2b deepseek-r1-distil…
Tokens/sec30.410.3
First chunkN/A27 ms
TTFT215 ms20.7 s
Load time1.8 s15.4 s
Memory usage4.5 GB1.0 GB
Memory %14%4%

HW Fit Score Breakdown

qwen3.5:2b

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

deepseek-r1-distill-qwe…

Speed
23/50
TTFT
0/20
Memory
30/30

Quality

qwen3.5:2b

Reasoning
12/20
Coding
10/20
Instruction
13/20
Structured
14/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

deepseek-r1-distill-qwe…

Reasoning
3/20
Coding
6/20
Instruction
6/20
Structured
3/15
Math
2/15
Multilingual
8/10
Reasoning: Poor Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Strong
View qwen3.5:2b details | View deepseek-r1-distil… 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