llama3.1:8b
llama · 8.0B · Q4_K_M
Feb 28, 2026 · Apple M4 Pro
mistral-nemo:12b
llama · 12.2B · Q4_0
Mar 1, 2026 · Apple M4
Global Score
64 vs 73
Hardware Fit
56 vs 86
Quality Score
70 vs 65
Hardware
llama3.1:8b mistral-nemo:12b
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-nemo:12b
Tokens/sec5.514.6
TTFT1.4 s371 ms
Load time3.7 s1.0 s
Memory usage28.6 GB13.3 GB
Memory %45%42%
HW Fit Score Breakdown
llama3.1:8b
Speed
5/40
TTFT
22/30
Memory
29/30
mistral-nemo:12b
Speed
26/40
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-nemo:12b
Reasoning
12/20
Coding
13/20
Instruction
11/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running