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qwen2.5-vl:7b

OLLAMA GGUF

qwen2vl · 7.6B · Q4_K_M

Excellent

Nov 8, 2026 · AMD Ryzen 7 8845HS

yi-coder:9b

OLLAMA GGUF

llama · 8.8B · Q4_0

Good

Mar 6, 2026 · Apple M4

Global Score
84 vs 70
Hardware Fit
100 vs 89
Quality Score
77 vs 62

Hardware

qwen2.5-vl:7b yi-coder:9b
MachineLENOVO 83DHMacBook Air
CPUAMD Ryzen 7 8845HSApple M4
Cores1610
RAM15 GB32 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPU, AMD Radeon 780M GraphicsApple M4
OSMicrosoft Windows 11 Home Single Language 10.0.26300macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2.5-vl:7b yi-coder:9b
Tokens/sec29.919.4
First chunk89 ms287 ms
TTFT89 ms287 ms
Load time10.9 s0.7 s
Memory usage4.8 GB9.6 GB
Memory %31%30%

HW Fit Score Breakdown

qwen2.5-vl:7b

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

yi-coder:9b

Speed
39/50
TTFT
20/20
Memory
30/30

Quality

qwen2.5-vl:7b

Reasoning
16/20
Coding
14/20
Instruction
13/20
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
View qwen2.5-vl:7b details | View yi-coder:9b 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