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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

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score
85 vs 89
Hardware Fit
100 vs 95
Quality Score
79 vs 87

Hardware

qwen2.5:7b qwen/qwen3-8b
MachineMACHENIKE L16PMac mini
CPUIntel Gen Intel® Core™ i9-12900HXApple M4 Pro
Cores2414
RAM32 GB64 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPUApple M4 Pro
OSMicrosoft Windows 11 专业版 10.0.26300macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2.5:7b qwen/qwen3-8b
Tokens/sec52.433.4
First chunk48 ms257 ms
TTFT48 ms257 ms
Load time2.0 sN/A
Memory usage4.4 GB4.3 GB
Memory %14%7%

HW Fit Score Breakdown

qwen2.5:7b

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

qwen/qwen3-8b

Speed
45/50
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

qwen/qwen3-8b

Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen2.5:7b details | View qwen/qwen3-8b 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