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-vl-4b-instruct-q4_k_m

OPENAI GGUF

Good

Apr 22, 2026 · Apple M2 Max

Global Score

33 vs 62

Hardware Fit

76 vs 100

Quality Score

14 vs 46

Hardware

tinyllama-1.1b-cha… qwen3-vl-4b-instru…

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-vl-4b-instru…

Tokens/sec9.967.2

First chunk3166 ms66 ms

TTFT3.2 s68 ms

Load timeN/A0.0 s

Memory usage0.5 GB0.2 GB

Memory %3%0%

HW Fit Score Breakdown

tinyllama-1.1b-chat-v1.0

Speed

32/50

TTFT

16/20

Memory

28/30

qwen3-vl-4b-instruct-q4…

Speed

50/50

TTFT

20/20

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-vl-4b-instruct-q4…

Reasoning

16/20

Coding

0/20

Instruction

12/20

Structured

1/15

Math

8/15

Multilingual

9/10

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

View tinyllama-1.1b-cha… details | View qwen3-vl-4b-instru… 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