llama3.1:8b
llama · 8.0B · Q4_K_M
Feb 28, 2026 · Apple M4 Pro
mistral:7b
llama · 7.2B · Q4_K_M
Mar 2, 2026 · Apple M4
Global Score
66 vs 72
Hardware Fit
56 vs 95
Quality Score
70 vs 62
Hardware
llama3.1:8b mistral:7b
MachineMac MiniMacBook Air
CPUApple M4 ProApple M4
Cores1410
RAM64 GB32 GB
GPUApple M4 ProApple M4
OSmacOS 15.7.4macOS 26.3
Archarm64arm64
Power Modeunknownbalanced
Performance
llama3.1:8b mistral:7b
Tokens/sec5.522.0
TTFT1.4 s261 ms
Load time3.7 s0.7 s
Memory usage28.6 GB10.1 GB
Memory %45%32%
HW Fit Score Breakdown
llama3.1:8b
Speed
5/40
TTFT
22/30
Memory
29/30
mistral:7b
Speed
35/40
TTFT
30/30
Memory
30/30
Quality
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
mistral:7b
Reasoning
8/20
Coding
12/20
Instruction
15/20
Structured
14/15
Math
4/15
Multilingual
9/10
Reasoning: Weak Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running