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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

llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Good

Aug 25, 2026 · Apple M1 Pro

Global Score
85 vs 72
Hardware Fit
100 vs 77
Quality Score
79 vs 70

Hardware

qwen2.5:7b llama3.1:8b
MachineMACHENIKE L16PMacBook Pro
CPUIntel Gen Intel® Core™ i9-12900HXApple M1 Pro
Cores2410
RAM32 GB16 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPUApple M1 Pro
OSMicrosoft Windows 11 专业版 10.0.26300macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2.5:7b llama3.1:8b
Tokens/sec52.421.5
First chunk48 ms368 ms
TTFT48 ms368 ms
Load time2.0 s6.9 s
Memory usage4.4 GB12.9 GB
Memory %14%81%

HW Fit Score Breakdown

qwen2.5:7b

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

llama3.1:8b

Speed
47/50
TTFT
20/20
Memory
10/30

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

llama3.1:8b

Reasoning
12/20
Coding
18/20
Instruction
13/20
Structured
13/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View qwen2.5:7b details | View llama3.1:8b 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