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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

ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

Global Score
80 vs 76
Hardware Fit
52 vs 89
Quality Score
92 vs 71

Hardware

qwen3.5:122b-a10b ministral-3:8b
MachineAZW GTR ProMacBook Air
CPUAMD RYZEN AI MAX+ 395Apple M4
Cores3210
RAM125 GB32 GB
GPURadeon 8060SApple M4
OSUbuntu 24.04.4 LTSmacOS 26.3
Archx64arm64
Power Modeperformancebalanced

Performance

qwen3.5:122b-a10b ministral-3:8b
Tokens/sec19.119.5
First chunk467 ms328 ms
TTFT467 ms328 ms
Load time30.0 s1.5 s
Memory usage89.3 GB10.6 GB
Memory %72%33%

HW Fit Score Breakdown

qwen3.5:122b-a10b

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

ministral-3:8b

Speed
39/50
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

ministral-3:8b

Reasoning
12/20
Coding
18/20
Instruction
12/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View qwen3.5:122b-a10b details | View ministral-3:8b 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