Back to leaderboard

qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 8bit

Good

Mar 3, 2026 · Apple M4

gemma4:e2b

OLLAMA GGUF

gemma4 · 5.1B · Q4_K_M

Good

Aug 28, 2026 · Intel Core™ i5-10210U

Global Score
60 vs 76
Hardware Fit
96 vs 82
Quality Score
44 vs 73

Hardware

qwen3.5-0.8b-mlx gemma4:e2b
MachineMacBook AirLENOVO 20U30029MB
CPUApple M4Intel Core™ i5-10210U
Cores108
RAM32 GB15 GB
GPUApple M4CometLake-U GT2 [UHD Graphics]
OSmacOS 26.3Pop 24.04 LTS
Archarm64x64
Power Modebalancedperformance

Performance

qwen3.5-0.8b-mlx gemma4:e2b
Tokens/sec108.013.5
First chunk2568 ms1270 ms
TTFT2.6 s1.3 s
Load timeN/A13.4 s
Memory usage1.0 GB6.5 GB
Memory %3%42%

HW Fit Score Breakdown

qwen3.5-0.8b-mlx

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

gemma4:e2b

Speed
35/50
TTFT
20/20
Memory
27/30

Quality

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

gemma4:e2b

Reasoning
10/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak 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