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llama3.3:70b

OLLAMA GGUF

llama · 70.6B · Q4_K_M

Not Rec.

Jun 26, 2026 · Cortex-X925

qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 8bit

Excellent

Aug 19, 2026 · Apple M4 Max

Global Score
73 vs 80
Hardware Fit
51 vs 52
Quality Score
83 vs 92

Hardware

llama3.3:70b qwen/qwen3.8-27b
MachineNVIDIA NVIDIA_DGX_SparkMacBook Pro
CPUCortex-X925Apple M4 Max
Cores2016
RAM122 GB128 GB
GPUDevice 2e12Apple M4 Max
OSUbuntu 24.04.4 LTSmacOS 26.5.2
Archarm64arm64
Power Modeperformancebalanced

Performance

llama3.3:70b qwen/qwen3.8-27b
Tokens/sec4.616.1
First chunk560 ms14 ms
TTFT560 ms5.8 s
Load time13.8 s8.5 s
Memory usage49.5 GB0.0 GB
Memory %41%0%

HW Fit Score Breakdown

llama3.3:70b

Speed
4/50
TTFT
20/20
Memory
27/30

qwen/qwen3.8-27b

Speed
17/50
TTFT
5/20
Memory
30/30

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

qwen/qwen3.8-27b

Reasoning
19/20
Coding
16/20
Instruction
17/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View llama3.3:70b details | View qwen/qwen3.8-27b 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