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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

qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 8bit

Excellent

Aug 18, 2026 · Apple M4 Max

Global Score
80 vs 81
Hardware Fit
52 vs 68
Quality Score
92 vs 87

Hardware

qwen3.5:122b-a10b qwen/qwen3.8-27b
MachineAZW GTR ProMacBook Pro
CPUAMD RYZEN AI MAX+ 395Apple M4 Max
Cores3216
RAM125 GB128 GB
GPURadeon 8060SApple M4 Max
OSUbuntu 24.04.4 LTSmacOS 26.5.2
Archx64arm64
Power Modeperformancebalanced

Performance

qwen3.5:122b-a10b qwen/qwen3.8-27b
Tokens/sec19.116.4
First chunk467 ms5 ms
TTFT467 ms742 ms
Load time30.0 sN/A
Memory usage89.3 GB38.5 GB
Memory %72%30%

HW Fit Score Breakdown

qwen3.5:122b-a10b

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

qwen/qwen3.8-27b

Speed
18/50
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

qwen/qwen3.8-27b

Reasoning
17/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen3.5:122b-a10b 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