Back to leaderboard

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Good

Mar 5, 2026 · Intel Core™ i5-6500

yi-coder-1.5b-chat

LM-STUDIO GGUF

llama · 1.5B · Q4_K_M

Marginal

Mar 7, 2026 · Intel Core™ i5-5300U

Global Score
61 vs 45
Hardware Fit
69 vs 67
Quality Score
58 vs 35

Hardware

qwen3.5:4b yi-coder-1.5b-chat
MachineGigabyte Technology Co., Ltd. H170M-D3HLENOVO 20BUS00700
CPUIntel Core™ i5-6500Intel Core™ i5-5300U
Cores44
RAM16 GB16 GB
GPUGP104 [GeForce GTX 1070]Intel(R) HD Graphics 5500
OSUbuntu 24.04.4 LTSMicrosoft Windows 10 Professionnel 10.0.19045
Archx64x64
Power Modelow-powerbalanced

Performance

qwen3.5:4b yi-coder-1.5b-chat
Tokens/sec35.77.7
First chunk438 ms2668 ms
TTFT5.1 s2.7 s
Load time40.1 sN/A
Memory usage5.5 GB0.9 GB
Memory %35%6%

HW Fit Score Breakdown

qwen3.5:4b

Speed
50/50
TTFT
11/20
Memory
8/30

yi-coder-1.5b-chat

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

Quality

qwen3.5:4b

Reasoning
18/20
Coding
1/20
Instruction
8/20
Structured
8/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Weak Structured Output: Adequate Math: Strong 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