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tinyllama:1.1b

OLLAMA GGUF

llama · 1B · Q4_0

Marginal

Mar 2, 2026 · Apple M4

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
43 vs 84
Hardware Fit
100 vs 94
Quality Score
19 vs 80

Hardware

tinyllama:1.1b qwen3.5:9b
MachineMacBook AirASUS
CPUApple M4Intel Core™ i5-14600KF
Cores1020
RAM32 GB32 GB
GPUApple M4NVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 26.3Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

tinyllama:1.1b qwen3.5:9b
Tokens/sec121.086.3
First chunkN/A316 ms
TTFT82 ms316 ms
Load time0.4 s0.3 s
Memory usage0.7 GB8.1 GB
Memory %2%25%

HW Fit Score Breakdown

tinyllama:1.1b

Speed
40/50
TTFT
30/20
Memory
30/30

qwen3.5:9b

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

Quality

tinyllama:1.1b

Reasoning
2/20
Coding
1/20
Instruction
6/20
Structured
7/15
Math
0/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Weak

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