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qwen2.5:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Excellent

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

qwen3.6-35b-a3b

LM-STUDIO GGUF

qwen35moe · 35B · Q3_K_S

Excellent

Oct 20, 2026 · Apple M1 Pro

Global Score
85 vs 89
Hardware Fit
100 vs 90
Quality Score
79 vs 88

Hardware

qwen2.5:7b qwen3.6-35b-a3b
MachineMACHENIKE L16PMacBook Pro
CPUIntel Gen Intel® Core™ i9-12900HXApple M1 Pro
Cores2410
RAM32 GB32 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPUApple M1 Pro
OSMicrosoft Windows 11 专业版 10.0.26300macOS 15.6.1
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2.5:7b qwen3.6-35b-a3b
Tokens/sec52.339.1
First chunk50 ms33 ms
TTFT50 ms319 ms
Load time2.0 sN/A
Memory usage4.4 GB19.0 GB
Memory %14%60%

HW Fit Score Breakdown

qwen2.5:7b

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

qwen3.6-35b-a3b

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

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

qwen3.6-35b-a3b

Reasoning
16/20
Coding
18/20
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 qwen3.6-35b-a3b 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