Back to leaderboard

qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 8bit

Good

Mar 3, 2026 · Apple M4

nous-hermes2:latest

OLLAMA GGUF

llama · 11B · Q4_0

Good

Mar 1, 2026 · Apple M4

Global Score
60 vs 68
Hardware Fit
96 vs 87
Quality Score
44 vs 60

Hardware

qwen3.5-0.8b-mlx nous-hermes2:latest
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5-0.8b-mlx nous-hermes2:latest
Tokens/sec108.015.9
First chunk2568 msN/A
TTFT2.6 s345 ms
Load timeN/A0.4 s
Memory usage1.0 GB6.6 GB
Memory %3%21%

HW Fit Score Breakdown

qwen3.5-0.8b-mlx

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

nous-hermes2:latest

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

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

nous-hermes2:latest

Reasoning
11/20
Coding
9/20
Instruction
12/20
Structured
15/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate 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