Back to leaderboard

qwen2.5:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Excellent

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

mistral:latest

OLLAMA GGUF

llama · 7.2B · Q4_K_M

Good

May 27, 2026 · AMD Ryzen 5 2600X Six-Core Processor

Global Score
85 vs 73
Hardware Fit
100 vs 100
Quality Score
79 vs 62

Hardware

qwen2.5:7b mistral:latest
MachineMACHENIKE L16PMicro-Star International Co., Ltd. MS-7B79
CPUIntel Gen Intel® Core™ i9-12900HXAMD Ryzen 5 2600X Six-Core Processor
Cores2412
RAM32 GB16 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPUNVIDIA GeForce GTX 1080
OSMicrosoft Windows 11 专业版 10.0.26300Microsoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

qwen2.5:7b mistral:latest
Tokens/sec52.331.7
First chunk50 ms102 ms
TTFT50 ms102 ms
Load time2.0 s14.3 s
Memory usage4.4 GB4.8 GB
Memory %14%30%

HW Fit Score Breakdown

qwen2.5:7b

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

mistral:latest

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

mistral:latest

Reasoning
8/20
Coding
13/20
Instruction
16/20
Structured
12/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
View qwen2.5:7b details | View mistral:latest 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