wizardlm2:7b
llama · 7B · Q4_0
Mar 2, 2026 · Apple M4
llama3.1:8b
llama · 8.0B · Q4_K_M
Feb 28, 2026 · Apple M4 Pro
Global Score
59 vs 66
Hardware Fit
97 vs 56
Quality Score
43 vs 70
Hardware
wizardlm2:7b llama3.1:8b
MachineMacBook AirMac Mini
CPUApple M4Apple M4 Pro
Cores1014
RAM32 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedunknown
Performance
wizardlm2:7b llama3.1:8b
Tokens/sec23.25.5
TTFT264 ms1.4 s
Load time0.6 s3.7 s
Memory usage9.9 GB28.6 GB
Memory %31%45%
HW Fit Score Breakdown
wizardlm2:7b
Speed
37/40
TTFT
30/30
Memory
30/30
llama3.1:8b
Speed
5/40
TTFT
22/30
Memory
29/30
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
llama3.1:8b
Reasoning
12/20
Coding
17/20
Instruction
14/20
Structured
13/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running