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qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Mar 5, 2026 · Intel Core™ Ultra 9 285K

yi-coder-1.5b-chat

LM-STUDIO GGUF

llama · 1.5B · Q4_K_M

Marginal

Mar 7, 2026 · Intel Core™ i5-5300U

Global Score
84 vs 45
Hardware Fit
97 vs 67
Quality Score
79 vs 35

Hardware

qwen3:8b yi-coder-1.5b-chat
MachineASUSLENOVO 20BUS00700
CPUIntel Core™ Ultra 9 285KIntel Core™ i5-5300U
Cores244
RAM47 GB16 GB
GPUNVIDIA GeForce RTX 5090, Intel(R) GraphicsIntel(R) HD Graphics 5500
OSMicrosoft Windows 11 Pro 10.0.26200Microsoft Windows 10 Professionnel 10.0.19045
Archx64x64
Power Modebalancedbalanced

Performance

qwen3:8b yi-coder-1.5b-chat
Tokens/sec208.07.7
First chunk82 ms2668 ms
TTFT1.3 s2.7 s
Load time1.5 sN/A
Memory usage9.6 GB0.9 GB
Memory %20%6%

HW Fit Score Breakdown

qwen3:8b

Speed
50/50
TTFT
18/20
Memory
29/30

yi-coder-1.5b-chat

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

Quality

qwen3:8b

Reasoning
18/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Weak Instruction Following: Adequate Structured Output: Strong 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
View qwen3:8b details | View yi-coder-1.5b-chat 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