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qwen2.5-coder:0.5b

OLLAMA GGUF

qwen2 · 494.03M · Q4_K_M

Marginal

Nov 13, 2026 · Intel Core™ i5-4590T

Kimi-48B:48B

OLLAMA GGUF

kimi-linear · 49.1B · unknown

Excellent

Aug 24, 2026 · Intel Core™ Ultra X7 358H

Global Score
59 vs 86
Hardware Fit
100 vs 78
Quality Score
41 vs 89

Hardware

qwen2.5-coder:0.5b Kimi-48B:48B
MachineFUJITSU ESPRIMO Q920GMKtec NucBox EVO-T2S
CPUIntel Core™ i5-4590TIntel Core™ Ultra X7 358H
Cores416
RAM16 GB64 GB
GPUIntel(R) HD Graphics 4600, Microsoft Remote Display AdapterIntel(R) Arc(TM) B390 GPU
OSMicrosoft Windows 10 Pro 10.0.19045Microsoft Windows 11 Pro 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

qwen2.5-coder:0.5b Kimi-48B:48B
Tokens/sec43.723.1
First chunk290 ms752 ms
TTFT290 ms752 ms
Load time1.4 s22.2 s
Memory usage0.9 GB25.5 GB
Memory %6%40%

HW Fit Score Breakdown

qwen2.5-coder:0.5b

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

Kimi-48B:48B

Speed
31/50
TTFT
20/20
Memory
27/30

Quality

qwen2.5-coder:0.5b

Reasoning
7/20
Coding
8/20
Instruction
10/20
Structured
10/15
Math
2/15
Multilingual
4/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak

Kimi-48B:48B

Reasoning
18/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
13/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

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