Back to leaderboard

gemma-3-1b-it

LM-STUDIO GGUF

gemma3 · 1B · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

qwen3.6:27b

OLLAMA GGUF

qwen35 · 27.8B · Q4_K_M

Not Rec.

Jun 25, 2026 · Apple M4 Pro

Global Score
59 vs 20
Hardware Fit
76 vs 34
Quality Score
52 vs 14

Hardware

gemma-3-1b-it qwen3.6:27b
MachineLENOVO 20BUS00700Mac mini
CPUIntel Core™ i5-5300UApple M4 Pro
Cores412
RAM16 GB24 GB
GPUIntel(R) HD Graphics 5500Apple M4 Pro
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 15.6.1
Archx64arm64
Power Modebalancedbalanced

Performance

gemma-3-1b-it qwen3.6:27b
Tokens/sec8.710.6
First chunk2078 ms1344 ms
TTFT2.1 s30.0 s
Load timeN/A0.2 s
Memory usage0.8 GB18.1 GB
Memory %5%75%

HW Fit Score Breakdown

gemma-3-1b-it

Speed
29/50
TTFT
19/20
Memory
28/30

qwen3.6:27b

Speed
22/50
TTFT
0/20
Memory
12/30

Quality

gemma-3-1b-it

Reasoning
4/20
Coding
11/20
Instruction
14/20
Structured
13/15
Math
2/15
Multilingual
8/10
Reasoning: Poor Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

qwen3.6:27b

Reasoning
2/20
Coding
1/20
Instruction
2/20
Structured
1/15
Math
2/15
Multilingual
6/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Adequate

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