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llama2:13b

OLLAMA GGUF

llama · 13B · Q4_0

Marginal

Mar 2, 2026 · Apple M4

qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Aug 19, 2026 · Apple M4 Max

Global Score
56 vs 83
Hardware Fit
84 vs 68
Quality Score
44 vs 90

Hardware

llama2:13b qwen/qwen3.8-27b
MachineMacBook AirMacBook Pro
CPUApple M4Apple M4 Max
Cores1016
RAM32 GB128 GB
GPUApple M4Apple M4 Max
OSmacOS 26.3macOS 26.5.2
Archarm64arm64
Power Modebalancedbalanced

Performance

llama2:13b qwen/qwen3.8-27b
Tokens/sec13.527.6
First chunkN/A10 ms
TTFT415 ms4.6 s
Load time0.6 sN/A
Memory usage10.3 GB21.0 GB
Memory %32%16%

HW Fit Score Breakdown

llama2:13b

Speed
24/50
TTFT
30/20
Memory
30/30

qwen/qwen3.8-27b

Speed
32/50
TTFT
6/20
Memory
30/30

Quality

llama2:13b

Reasoning
9/20
Coding
3/20
Instruction
13/20
Structured
7/15
Math
3/15
Multilingual
9/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Poor Multilingual: Strong

qwen/qwen3.8-27b

Reasoning
19/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View llama2:13b 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