llama3.3:70b-instruct-q4_K_M
OLLAMA GGUFllama · 70.6B · Q4_K_M
Aug 20, 2026 · Intel Xeon® E5-2637 v3
qwen3.8-27b-mlx
LM-STUDIO MLXqwen3_5 · 27B · 8bit
Aug 17, 2026 · Apple M5 Max
Global Score
51 vs 59
Hardware Fit
31 vs 63
Quality Score
60 vs 58
Hardware
llama3.3:70b-instr… qwen3.8-27b-mlx
MachineDell Inc. Precision Tower 7910MacBook Pro
CPUIntel Xeon® E5-2637 v3Apple M5 Max
Cores1618
RAM96 GB64 GB
GPUNVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3060Apple M5 Max
OSMicrosoft Windows 10 Pro 10.0.19045macOS 27.0
Archx64arm64
Power Modebalancedbalanced
Performance
llama3.3:70b-instr… qwen3.8-27b-mlx
Tokens/sec1.718.3
First chunk5553 ms4 ms
TTFT5.6 s530 ms
Load time0.4 sN/A
Memory usage50.3 GB38.5 GB
Memory %53%60%
HW Fit Score Breakdown
llama3.3:70b-instruct-q…
Speed
2/50
TTFT
5/20
Memory
24/30
qwen3.8-27b-mlx
Speed
23/50
TTFT
20/20
Memory
20/30
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
qwen3.8-27b-mlx
Reasoning
19/20
Coding
14/20
Instruction
6/20
Structured
1/15
Math
13/15
Multilingual
5/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
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