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qwen2.5vl:7b

OLLAMA GGUF

qwen25vl · 8.3B · Q4_K_M

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

yi-coder:9b

OLLAMA GGUF

llama · 8.8B · Q4_0

Good

Mar 6, 2026 · Apple M4

Global Score
83 vs 70
Hardware Fit
100 vs 89
Quality Score
75 vs 62

Hardware

qwen2.5vl:7b yi-coder:9b
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4MacBook Air
CPUIntel Core™ i5-14400FApple M4
Cores1610
RAM32 GB32 GB
GPUNVIDIA GeForce RTX 5060 TiApple M4
OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2.5vl:7b yi-coder:9b
Tokens/sec73.919.4
First chunk53 ms287 ms
TTFT53 ms287 ms
Load time5.3 s0.7 s
Memory usage5.1 GB9.6 GB
Memory %16%30%

HW Fit Score Breakdown

qwen2.5vl:7b

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

yi-coder:9b

Speed
39/50
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

yi-coder:9b

Reasoning
12/20
Coding
16/20
Instruction
13/20
Structured
7/15
Math
7/15
Multilingual
7/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Weak Math: Weak Multilingual: Adequate

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