llama3.3:70b

OLLAMA GGUF

llama · 70.6B · Q4_K_M

Not Rec.

Jun 26, 2026 · Cortex-X925

qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 3, 2026 · Apple M4

Global Score

73 vs 55

Hardware Fit

51 vs 87

Quality Score

83 vs 41

Hardware

llama3.3:70b qwen3.5-0.8b-mlx

MachineNVIDIA NVIDIA_DGX_SparkMacBook Air

CPUCortex-X925Apple M4

Cores2010

RAM122 GB32 GB

GPUDevice 2e12Apple M4

OSUbuntu 24.04.4 LTSmacOS 26.3

Archarm64arm64

Power Modeperformancebalanced

Performance

llama3.3:70b qwen3.5-0.8b-mlx

Tokens/sec4.668.2

First chunk560 ms3268 ms

TTFT560 ms3.3 s

Load time13.8 sN/A

Memory usage49.5 GB0.6 GB

Memory %41%2%

HW Fit Score Breakdown

llama3.3:70b

Speed

4/50

TTFT

20/20

Memory

27/30

qwen3.5-0.8b-mlx

Speed

50/50

TTFT

13/20

Memory

24/30

Quality

llama3.3:70b

Reasoning

17/20

Coding

18/20

Instruction

12/20

Structured

15/15

Math

11/15

Multilingual

10/10

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

qwen3.5-0.8b-mlx

Reasoning

8/20

Coding

1/20

Instruction

12/20

Structured

12/15

Math

3/15

Multilingual

5/10

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

View llama3.3:70b details | View qwen3.5-0.8b-mlx 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