tinyllama-1.1b-chat-v1.0

LM-STUDIO GGUF

llama · 1.1B · Q3_K_M

Not Rec.

Mar 5, 2026 · Intel Core™ i5-5300U

qwen3-4b-qwen3.6-plus-reasoning-distilled

LM-STUDIO GGUF

qwen3 · 4B · Q4_1

Good

Apr 21, 2026 · Apple M2 Max

Global Score

33 vs 65

Hardware Fit

76 vs 96

Quality Score

14 vs 51

Hardware

tinyllama-1.1b-cha… qwen3-4b-qwen3.6-p…

MachineLENOVO 20BUS00700Mac Studio

CPUIntel Core™ i5-5300UApple M2 Max

Cores412

RAM16 GB96 GB

GPUIntel(R) HD Graphics 5500Apple M2 Max

OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.1

Archx64arm64

Power Modebalancedbalanced

Performance

tinyllama-1.1b-cha… qwen3-4b-qwen3.6-p…

Tokens/sec9.999.6

First chunk3166 ms18 ms

TTFT3.2 s1.6 s

Load timeN/A4.8 s

Memory usage0.5 GB0.3 GB

Memory %3%0%

HW Fit Score Breakdown

tinyllama-1.1b-chat-v1.0

Speed

32/50

TTFT

16/20

Memory

28/30

qwen3-4b-qwen3.6-plus-r…

Speed

50/50

TTFT

16/20

Memory

30/30

Quality

tinyllama-1.1b-chat-v1.0

Reasoning

2/20

Coding

1/20

Instruction

6/20

Structured

2/15

Math

1/15

Multilingual

2/10

Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor

qwen3-4b-qwen3.6-plus-r…

Reasoning

8/20

Coding

4/20

Instruction

14/20

Structured

9/15

Math

8/15

Multilingual

8/10

Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Adequate Multilingual: Strong

View tinyllama-1.1b-cha… details | View qwen3-4b-qwen3.6-p… 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