Back to leaderboard

qwen2.5:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Excellent

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

qwen3.5-9b

LM-STUDIO MLX

qwen3_5 · 9B · 4bit

Excellent

Mar 3, 2026 · Apple M4

Global Score
85 vs 81
Hardware Fit
100 vs 84
Quality Score
79 vs 79

Hardware

qwen2.5:7b qwen3.5-9b
MachineMACHENIKE L16PMacBook Air
CPUIntel Gen Intel® Core™ i9-12900HXApple M4
Cores2410
RAM32 GB32 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPUApple M4
OSMicrosoft Windows 11 专业版 10.0.26300macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2.5:7b qwen3.5-9b
Tokens/sec52.320.4
First chunk50 ms3034 ms
TTFT50 ms3.0 s
Load time2.0 sN/A
Memory usage4.4 GB5.6 GB
Memory %14%17%

HW Fit Score Breakdown

qwen2.5:7b

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

qwen3.5-9b

Speed
41/50
TTFT
14/20
Memory
29/30

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

qwen3.5-9b

Reasoning
14/20
Coding
15/20
Instruction
15/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen2.5:7b details | View qwen3.5-9b 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