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gemma-3-1b-it

LM-STUDIO GGUF

gemma3 · 1B · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 8bit

Good

Mar 3, 2026 · Apple M4

Global Score
59 vs 60
Hardware Fit
76 vs 96
Quality Score
52 vs 44

Hardware

gemma-3-1b-it qwen3.5-0.8b-mlx
MachineLENOVO 20BUS00700MacBook Air
CPUIntel Core™ i5-5300UApple M4
Cores410
RAM16 GB32 GB
GPUIntel(R) HD Graphics 5500Apple M4
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

gemma-3-1b-it qwen3.5-0.8b-mlx
Tokens/sec8.7108.0
First chunk2078 ms2568 ms
TTFT2.1 s2.6 s
Load timeN/AN/A
Memory usage0.8 GB1.0 GB
Memory %5%3%

HW Fit Score Breakdown

gemma-3-1b-it

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

qwen3.5-0.8b-mlx

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

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

qwen3.5-0.8b-mlx

Reasoning
10/20
Coding
3/20
Instruction
11/20
Structured
12/15
Math
3/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
View gemma-3-1b-it details | View qwen3.5-0.8b-mlx 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