qwen2.5vl:7b
OLLAMA GGUFqwen25vl · 8.3B · Q4_K_M
Sep 15, 2026 · Intel Core™ i5-14400F
ornith-1.5:9b
OLLAMA GGUFqwen35 · 9.0B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
Global Score
83 vs 69
Hardware Fit
100 vs 95
Quality Score
75 vs 58
Hardware
qwen2.5vl:7b ornith-1.5:9b
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4MacBook Pro
CPUIntel Core™ i5-14400FApple M1 Pro
Cores1610
RAM32 GB16 GB
GPUNVIDIA GeForce RTX 5060 TiApple M1 Pro
OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced
Performance
qwen2.5vl:7b ornith-1.5:9b
Tokens/sec73.922.2
First chunk53 ms341 ms
TTFT53 ms341 ms
Load time5.3 s4.8 s
Memory usage5.1 GB7.1 GB
Memory %16%45%
HW Fit Score Breakdown
qwen2.5vl:7b
Speed
50/50
TTFT
20/20
Memory
30/30
ornith-1.5:9b
Speed
49/50
TTFT
20/20
Memory
26/30
Quality
qwen2.5vl:7b
Reasoning
16/20
Coding
14/20
Instruction
11/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
ornith-1.5:9b
Reasoning
19/20
Coding
15/20
Instruction
6/20
Structured
2/15
Math
15/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor
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