Back to leaderboard

tinyllama-1.1b-chat-v1.0

LM-STUDIO GGUF

llama · 1.1B · Q3_K_M

Not Rec.

Mar 5, 2026 · Intel Core™ i5-5300U

google/gemma-3-27b

LM-STUDIO MLX

gemma3 · 27B · 4bit

Not Rec.

Mar 19, 2026 · Apple M4

Global Score
33 vs 71
Hardware Fit
76 vs 35
Quality Score
14 vs 86

Hardware

tinyllama-1.1b-cha… google/gemma-3-27b
MachineLENOVO 20BUS00700Mac mini
CPUIntel Core™ i5-5300UApple M4
Cores410
RAM16 GB24 GB
GPUIntel(R) HD Graphics 5500Apple M4
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

tinyllama-1.1b-cha… google/gemma-3-27b
Tokens/sec9.95.9
First chunk3166 ms19 ms
TTFT3.2 s1.8 s
Load timeN/AN/A
Memory usage0.5 GB22.0 GB
Memory %3%92%

HW Fit Score Breakdown

tinyllama-1.1b-chat-v1.0

Speed
32/50
TTFT
16/20
Memory
28/30

google/gemma-3-27b

Speed
12/50
TTFT
19/20
Memory
4/30

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

google/gemma-3-27b

Reasoning
16/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong 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