qwen2.5:7b
OLLAMA GGUFqwen2 · 7.6B · Q4_K_M
Nov 3, 2026 · Intel Gen Intel® Core™ i9-12900HX
gemma4:31b
OLLAMA GGUFgemma4 · 31.3B · Q4_K_M
Apr 13, 2026 · Apple M4 Max
Global Score
85 vs 76
Hardware Fit
100 vs 46
Quality Score
79 vs 89
Hardware
qwen2.5:7b gemma4:31b
MachineMACHENIKE L16PMacBook Pro
CPUIntel Gen Intel® Core™ i9-12900HXApple M4 Max
Cores2416
RAM32 GB64 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPUApple M4 Max
OSMicrosoft Windows 11 专业版 10.0.26300macOS 26.3.1
Archx64arm64
Power Modebalancedbalanced
Performance
qwen2.5:7b gemma4:31b
Tokens/sec52.122.4
First chunk41 ms565 ms
TTFT41 ms30.0 s
Load time2.1 s6.9 s
Memory usage4.4 GB43.9 GB
Memory %14%69%
HW Fit Score Breakdown
qwen2.5:7b
Speed
50/50
TTFT
20/20
Memory
30/30
gemma4:31b
Speed
30/50
TTFT
0/20
Memory
16/30
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
gemma4:31b
Reasoning
16/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
14/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest