llama3.3:70b-instruct-q4_K_M

OLLAMA GGUF

llama · 70.6B · Q4_K_M

Not Rec.

Aug 20, 2026 · Intel Xeon® E5-2637 v3

qwen3-4b-qwen3.6-plus-reasoning-distilled

LM-STUDIO GGUF

qwen3 · 4B · Q4_1

Good

Apr 21, 2026 · Apple M2 Max

Global Score

51 vs 65

Hardware Fit

31 vs 96

Quality Score

60 vs 51

Hardware

llama3.3:70b-instr… qwen3-4b-qwen3.6-p…

MachineDell Inc. Precision Tower 7910Mac Studio

CPUIntel Xeon® E5-2637 v3Apple M2 Max

Cores1612

RAM96 GB96 GB

GPUNVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3060Apple M2 Max

OSMicrosoft Windows 10 Pro 10.0.19045macOS 26.1

Archx64arm64

Power Modebalancedbalanced

Performance

llama3.3:70b-instr… qwen3-4b-qwen3.6-p…

Tokens/sec1.799.6

First chunk5553 ms18 ms

TTFT5.6 s1.6 s

Load time0.4 s4.8 s

Memory usage50.3 GB0.3 GB

Memory %53%0%

HW Fit Score Breakdown

llama3.3:70b-instruct-q…

Speed

2/50

TTFT

5/20

Memory

24/30

qwen3-4b-qwen3.6-plus-r…

Speed

50/50

TTFT

16/20

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

qwen3-4b-qwen3.6-plus-r…

Reasoning

8/20

Coding

4/20

Instruction

14/20

Structured

9/15

Math

8/15

Multilingual

8/10

Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Adequate Multilingual: Strong

View llama3.3:70b-instr… details | View qwen3-4b-qwen3.6-p… details

Run yours and compare

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest