Back to leaderboard

wizardlm2:7b

OLLAMA GGUF

llama · 7B · Q4_0

Marginal

Mar 2, 2026 · Apple M4

qwen3.5-27b

LM-STUDIO GGUF

qwen35 · 27B · Q4_K_M

Not Rec.

Mar 6, 2026 · Apple M4 Pro

Global Score
59 vs 26
Hardware Fit
97 vs 63
Quality Score
43 vs 10

Hardware

wizardlm2:7b qwen3.5-27b
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM32 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced

Performance

wizardlm2:7b qwen3.5-27b
Tokens/sec23.29.5
First chunkN/A1099 ms
TTFT264 ms1.1 s
Load time0.6 sN/A
Memory usage9.9 GB16.3 GB
Memory %31%25%

HW Fit Score Breakdown

wizardlm2:7b

Speed
37/50
TTFT
30/20
Memory
30/30

qwen3.5-27b

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

Quality

wizardlm2:7b

Reasoning
6/20
Coding
11/20
Instruction
10/20
Structured
4/15
Math
4/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Weak Math: Weak Multilingual: Strong

qwen3.5-27b

Reasoning
0/20
Coding
0/20
Instruction
2/20
Structured
0/15
Math
1/15
Multilingual
7/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Adequate
View wizardlm2:7b details | View qwen3.5-27b 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