Back to leaderboard

qwen2.5:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Excellent

Nov 3, 2026 · Intel Gen Intel® Core™ i9-12900HX

qwen3.5:122b-a10b

OLLAMA GGUF

qwen35moe · 125.1B · Q4_K_M

Excellent

Mar 12, 2026 · AMD RYZEN AI MAX+ 395

Global Score
85 vs 80
Hardware Fit
100 vs 52
Quality Score
79 vs 92

Hardware

qwen2.5:7b qwen3.5:122b-a10b
MachineMACHENIKE L16PAZW GTR Pro
CPUIntel Gen Intel® Core™ i9-12900HXAMD RYZEN AI MAX+ 395
Cores2432
RAM32 GB125 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPURadeon 8060S
OSMicrosoft Windows 11 专业版 10.0.26300Ubuntu 24.04.4 LTS
Archx64x64
Power Modebalancedperformance

Performance

qwen2.5:7b qwen3.5:122b-a10b
Tokens/sec52.119.1
First chunk41 ms467 ms
TTFT41 ms467 ms
Load time2.1 s30.0 s
Memory usage4.4 GB89.3 GB
Memory %14%72%

HW Fit Score Breakdown

qwen2.5:7b

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

qwen3.5:122b-a10b

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

Quality

qwen2.5:7b

Reasoning
14/20
Coding
18/20
Instruction
16/20
Structured
14/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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 qwen2.5:7b 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