llama3.3:70b-instruct-q4_K_M
OLLAMA GGUFllama · 70.6B · Q4_K_M
Aug 20, 2026 · Intel Xeon® E5-2637 v3
gemma-3-27b-it-qat
LM-STUDIO MLXgemma3 · 27B · 4bit
Mar 5, 2026 · Apple M4 Pro
Global Score
51 vs 76
Hardware Fit
31 vs 51
Quality Score
60 vs 87
Hardware
llama3.3:70b-instr… gemma-3-27b-it-qat
MachineDell Inc. Precision Tower 7910Mac mini
CPUIntel Xeon® E5-2637 v3Apple M4 Pro
Cores1614
RAM96 GB64 GB
GPUNVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3060Apple M4 Pro
OSMicrosoft Windows 10 Pro 10.0.19045macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced
Performance
llama3.3:70b-instr… gemma-3-27b-it-qat
Tokens/sec1.78.9
First chunk5553 ms3976 ms
TTFT5.6 s4.0 s
Load time0.4 sN/A
Memory usage50.3 GB15.7 GB
Memory %53%25%
HW Fit Score Breakdown
llama3.3:70b-instruct-q…
Speed
2/50
TTFT
5/20
Memory
24/30
gemma-3-27b-it-qat
Speed
12/50
TTFT
9/20
Memory
30/30
Quality
llama3.3:70b-instruct-q…
Reasoning
17/20
Coding
6/20
Instruction
6/20
Structured
11/15
Math
11/15
Multilingual
9/10
Reasoning: Strong Coding: Weak Instruction Following: Weak Structured Output: Adequate Math: Adequate Multilingual: Strong
gemma-3-27b-it-qat
Reasoning
16/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest