Back to leaderboard

qwen2.5:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Excellent

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

qwen2.5-1.5b-instruct

LM-STUDIO MLX

qwen2 · 1.5B · 8bit

Good

Mar 4, 2026 · Apple M4

Global Score
85 vs 69
Hardware Fit
100 vs 100
Quality Score
79 vs 56

Hardware

qwen2.5:7b qwen2.5-1.5b-instr…
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 qwen2.5-1.5b-instr…
Tokens/sec52.158.1
First chunk41 ms211 ms
TTFT41 ms211 ms
Load time2.1 sN/A
Memory usage4.4 GB1.5 GB
Memory %14%5%

HW Fit Score Breakdown

qwen2.5:7b

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

qwen2.5-1.5b-instruct

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

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

qwen2.5-1.5b-instruct

Reasoning
9/20
Coding
10/20
Instruction
10/20
Structured
14/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View qwen2.5:7b details | View qwen2.5-1.5b-instr… 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