Back to leaderboard

qwen3.5:0.8b

OLLAMA GGUF

qwen35 · 873.44M · Q8_0

Not Rec.

Apr 29, 2026 · Intel Core™ i5-8350U

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
18 vs 84
Hardware Fit
53 vs 94
Quality Score
3 vs 80

Hardware

qwen3.5:0.8b qwen3.5:9b
MachineLENOVO 20L7CTO1WWASUS
CPUIntel Core™ i5-8350UIntel Core™ i5-14600KF
Cores820
RAM23 GB32 GB
GPUKaby Lake-R GT2 [UHD Graphics 620]NVIDIA GeForce RTX 4070 Ti SUPER
OSFedora Linux 43Microsoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modelow-powerbalanced

Performance

qwen3.5:0.8b qwen3.5:9b
Tokens/sec9.486.3
First chunk799 ms316 ms
TTFT30.0 s316 ms
Load time3.3 s0.3 s
Memory usage1.9 GB8.1 GB
Memory %8%25%

HW Fit Score Breakdown

qwen3.5:0.8b

Speed
23/50
TTFT
0/20
Memory
30/30

qwen3.5:9b

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

Quality

qwen3.5:0.8b

Reasoning
0/20
Coding
0/20
Instruction
2/20
Structured
0/15
Math
0/15
Multilingual
1/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

qwen3.5:9b

Reasoning
14/20
Coding
16/20
Instruction
15/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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