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qwen3.5:122b-a10b

OLLAMA GGUF

qwen35moe · 125.1B · Q4_K_M

Excellent

Mar 12, 2026 · AMD RYZEN AI MAX+ 395

gemma-3-4b-it-q4-k-m

OLLAMA GGUF

llama · 4B · Q4_K_M

Excellent

Jul 9, 2026 · Intel Core™ i5-10400

Global Score
80 vs 80
Hardware Fit
52 vs 100
Quality Score
92 vs 71

Hardware

qwen3.5:122b-a10b gemma-3-4b-it-q4-k-m
MachineAZW GTR ProMac Pro
CPUAMD RYZEN AI MAX+ 395Intel Core™ i5-10400
Cores3212
RAM125 GB32 GB
GPURadeon 8060SAMD Radeon RX 6700 XT
OSUbuntu 24.04.4 LTSmacOS 26.5.1
Archx64x64
Power Modeperformancebalanced

Performance

qwen3.5:122b-a10b gemma-3-4b-it-q4-k-m
Tokens/sec19.175.0
First chunk467 ms136 ms
TTFT467 ms136 ms
Load time30.0 s0.0 s
Memory usage89.3 GB0.8 GB
Memory %72%3%

HW Fit Score Breakdown

qwen3.5:122b-a10b

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

gemma-3-4b-it-q4-k-m

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

Quality

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

gemma-3-4b-it-q4-k-m

Reasoning
11/20
Coding
17/20
Instruction
14/20
Structured
14/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View qwen3.5:122b-a10b details | View gemma-3-4b-it-q4-k-m 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