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qwen2.5vl:7b

OLLAMA GGUF

qwen25vl · 8.3B · Q4_K_M

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

qwen3.8-27b-mlx

LM-STUDIO UNKNOWN

27B

Good

Aug 17, 2026 · Apple M5 Max

Global Score
83 vs 66
Hardware Fit
100 vs 91
Quality Score
75 vs 55

Hardware

qwen2.5vl:7b qwen3.8-27b-mlx
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4MacBook Pro
CPUIntel Core™ i5-14400FApple M5 Max
Cores1618
RAM32 GB64 GB
GPUNVIDIA GeForce RTX 5060 TiApple M5 Max
OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 27.0
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2.5vl:7b qwen3.8-27b-mlx
Tokens/sec73.933.2
First chunk53 ms7 ms
TTFT53 ms311 ms
Load time5.3 sN/A
Memory usage5.1 GB0.5 GB
Memory %16%1%

HW Fit Score Breakdown

qwen2.5vl:7b

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

qwen3.8-27b-mlx

Speed
41/50
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

qwen3.8-27b-mlx

Reasoning
19/20
Coding
13/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
3/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
View qwen2.5vl:7b details | View qwen3.8-27b-mlx 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