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qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Apr 28, 2026 · Intel Xeon® Gold 6230

yi-coder:9b

OLLAMA GGUF

llama · 8.8B · Q4_0

Good

Mar 6, 2026 · Apple M4

Global Score
80 vs 70
Hardware Fit
85 vs 89
Quality Score
78 vs 62

Hardware

qwen3:8b yi-coder:9b
MachineHP HP Z8 G4 WorkstationMacBook Air
CPUIntel Xeon® Gold 6230Apple M4
Cores8010
RAM252 GB32 GB
GPUTU104GL [Quadro RTX 5000]Apple M4
OSUbuntu 24.04.4 LTSmacOS 26.3
Archx64arm64
Power Modelow-powerbalanced

Performance

qwen3:8b yi-coder:9b
Tokens/sec65.119.4
First chunk289 ms287 ms
TTFT4.2 s287 ms
Load time4.6 s0.7 s
Memory usage5.6 GB9.6 GB
Memory %2%30%

HW Fit Score Breakdown

qwen3:8b

Speed
50/50
TTFT
5/20
Memory
30/30

yi-coder:9b

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

Quality

qwen3:8b

Reasoning
17/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Strong 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 qwen3:8b 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