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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-4-e2b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_K_XL

Excellent

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
80 vs 81
Hardware Fit
52 vs 90
Quality Score
92 vs 77

Hardware

qwen3.5:122b-a10b gemma-4-e2b-it-qat
MachineAZW GTR ProDocker Container
CPUAMD RYZEN AI MAX+ 395Intel Gen Intel® Core™ i9-11900H
Cores3216
RAM125 GB15 GB
GPURadeon 8060STigerLake-H GT1 [UHD Graphics]
OSUbuntu 24.04.4 LTSUbuntu 26.04 LTS
Archx64x64
Power Modeperformanceperformance

Performance

qwen3.5:122b-a10b gemma-4-e2b-it-qat
Tokens/sec19.122.2
First chunk467 ms67 ms
TTFT467 ms1.1 s
Load time30.0 s5.4 s
Memory usage89.3 GB0.0 GB
Memory %72%0%

HW Fit Score Breakdown

qwen3.5:122b-a10b

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

gemma-4-e2b-it-qat

Speed
40/50
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-4-e2b-it-qat

Reasoning
10/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen3.5:122b-a10b details | View gemma-4-e2b-it-qat 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