Back to leaderboard

deepseek-v2:16b

OLLAMA GGUF

deepseek2 · 15.7B · Q4_0

Good

Mar 2, 2026 · Apple M4

qwen2.5-coder-3b-instruct-mlx

LM-STUDIO MLX

qwen2 · 3B · 4bit

Good

Mar 4, 2026 · Apple M4

Global Score
69 vs 73
Hardware Fit
100 vs 100
Quality Score
55 vs 61

Hardware

deepseek-v2:16b qwen2.5-coder-3b-i…
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

deepseek-v2:16b qwen2.5-coder-3b-i…
Tokens/sec56.652.3
First chunkN/A285 ms
TTFT239 ms285 ms
Load time1.2 sN/A
Memory usage17.7 GB1.6 GB
Memory %55%5%

HW Fit Score Breakdown

deepseek-v2:16b

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

qwen2.5-coder-3b-instru…

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

Quality

deepseek-v2:16b

Reasoning
7/20
Coding
9/20
Instruction
13/20
Structured
10/15
Math
8/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Adequate Multilingual: Strong

qwen2.5-coder-3b-instru…

Reasoning
7/20
Coding
14/20
Instruction
13/20
Structured
14/15
Math
4/15
Multilingual
9/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View deepseek-v2:16b details | View qwen2.5-coder-3b-i… 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