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qwen3-5-4b-q4-k-m

OLLAMA GGUF

llama · 4B · Q4_K_M

Excellent

Jul 9, 2026 · Intel Core™ i5-10400

yi-coder-1.5b-chat

LM-STUDIO GGUF

llama · 1.5B · Q4_K_M

Marginal

Mar 7, 2026 · Intel Core™ i5-5300U

Global Score
83 vs 45
Hardware Fit
100 vs 67
Quality Score
76 vs 35

Hardware

qwen3-5-4b-q4-k-m yi-coder-1.5b-chat
MachineMac ProLENOVO 20BUS00700
CPUIntel Core™ i5-10400Intel Core™ i5-5300U
Cores124
RAM32 GB16 GB
GPUAMD Radeon RX 6700 XTIntel(R) HD Graphics 5500
OSmacOS 26.5.1Microsoft Windows 10 Professionnel 10.0.19045
Archx64x64
Power Modebalancedbalanced

Performance

qwen3-5-4b-q4-k-m yi-coder-1.5b-chat
Tokens/sec62.77.7
First chunk278 ms2668 ms
TTFT278 ms2.7 s
Load time0.0 sN/A
Memory usage0.0 GB0.9 GB
Memory %0%6%

HW Fit Score Breakdown

qwen3-5-4b-q4-k-m

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

yi-coder-1.5b-chat

Speed
26/50
TTFT
17/20
Memory
24/30

Quality

qwen3-5-4b-q4-k-m

Reasoning
14/20
Coding
15/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

yi-coder-1.5b-chat

Reasoning
4/20
Coding
12/20
Instruction
6/20
Structured
6/15
Math
1/15
Multilingual
6/10
Reasoning: Poor Coding: Adequate Instruction Following: Weak Structured Output: Weak Math: Poor 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