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falcon3-1b-instruct

LM-STUDIO MLX

llama · 1B · 3bit

Marginal

Mar 4, 2026 · Apple M4

qwen3.8-27b-mlx

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Good

Oct 20, 2026 · Apple M1 Pro

Global Score
54 vs 78
Hardware Fit
100 vs 56
Quality Score
34 vs 87

Hardware

falcon3-1b-instruct qwen3.8-27b-mlx
MachineMacBook AirMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 15.6.1
Archarm64arm64
Power Modebalancedbalanced

Performance

falcon3-1b-instruct qwen3.8-27b-mlx
Tokens/sec121.810.8
First chunk176 ms8 ms
TTFT176 ms2.6 s
Load timeN/AN/A
Memory usage0.7 GB21.0 GB
Memory %2%66%

HW Fit Score Breakdown

falcon3-1b-instruct

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

qwen3.8-27b-mlx

Speed
23/50
TTFT
16/20
Memory
17/30

Quality

falcon3-1b-instruct

Reasoning
7/20
Coding
1/20
Instruction
12/20
Structured
7/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Poor Multilingual: Weak

qwen3.8-27b-mlx

Reasoning
18/20
Coding
18/20
Instruction
15/20
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