qwen2.5vl:7b
OLLAMA GGUFqwen25vl · 8.3B · Q4_K_M
Sep 15, 2026 · Intel Core™ i5-14400F
qwen3-vl-4b-instruct
LM-STUDIO GGUFqwen3vl · 4B · Q4_K_M
Apr 20, 2026 · Apple M2 Max
Global Score
83 vs 87
Hardware Fit
100 vs 100
Quality Score
75 vs 81
Hardware
qwen2.5vl:7b qwen3-vl-4b-instruct
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4Mac Studio
CPUIntel Core™ i5-14400FApple M2 Max
Cores1612
RAM32 GB96 GB
GPUNVIDIA GeForce RTX 5060 TiApple M2 Max
OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 26.1
Archx64arm64
Power Modebalancedbalanced
Performance
qwen2.5vl:7b qwen3-vl-4b-instruct
Tokens/sec73.971.6
First chunk53 ms5 ms
TTFT53 ms157 ms
Load time5.3 sN/A
Memory usage5.1 GB20.5 GB
Memory %16%21%
HW Fit Score Breakdown
qwen2.5vl:7b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3-vl-4b-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
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
qwen3-vl-4b-instruct
Reasoning
15/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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