Back to leaderboard

yi:6b

OLLAMA GGUF

llama · 6B · Q4_0

Good

Mar 1, 2026 · Apple M4

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Marginal

Mar 5, 2026 · Apple M4

Global Score
77 vs 48
Hardware Fit
100 vs 77
Quality Score
67 vs 35

Hardware

yi:6b qwen3.5:4b
MachineMacBook AirMac mini
CPUApple M4Apple M4
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

yi:6b qwen3.5:4b
Tokens/sec27.618.9
First chunkN/A316 ms
TTFT210 ms13.0 s
Load time0.4 s3.7 s
Memory usage3.6 GB5.9 GB
Memory %11%37%

HW Fit Score Breakdown

yi:6b

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

qwen3.5:4b

Speed
43/50
TTFT
4/20
Memory
30/30

Quality

yi:6b

Reasoning
11/20
Coding
12/20
Instruction
13/20
Structured
12/15
Math
13/15
Multilingual
6/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Adequate

qwen3.5:4b

Reasoning
10/20
Coding
1/20
Instruction
4/20
Structured
3/15
Math
8/15
Multilingual
9/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Adequate Multilingual: Strong
View yi:6b details | View qwen3.5:4b 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