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vicuna:13b

OLLAMA GGUF

llama · 13B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

qwen3.5:122b-a10b

OLLAMA GGUF

qwen35moe · 125.1B · Q4_K_M

Excellent

Mar 12, 2026 · AMD RYZEN AI MAX+ 395

Global Score
59 vs 80
Hardware Fit
84 vs 52
Quality Score
48 vs 92

Hardware

vicuna:13b qwen3.5:122b-a10b
MachineMacBook AirAZW GTR Pro
CPUApple M4AMD RYZEN AI MAX+ 395
Cores1032
RAM32 GB125 GB
GPUApple M4Radeon 8060S
OSmacOS 26.3Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedperformance

Performance

vicuna:13b qwen3.5:122b-a10b
Tokens/sec13.419.1
First chunkN/A467 ms
TTFT438 ms467 ms
Load time0.6 s30.0 s
Memory usage10.3 GB89.3 GB
Memory %32%72%

HW Fit Score Breakdown

vicuna:13b

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

qwen3.5:122b-a10b

Speed
18/50
TTFT
20/20
Memory
14/30

Quality

vicuna:13b

Reasoning
7/20
Coding
5/20
Instruction
12/20
Structured
13/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

qwen3.5:122b-a10b

Reasoning
19/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View vicuna:13b details | View qwen3.5:122b-a10b 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