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qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 3, 2026 · Apple M4

llama-3.2-1b-instruct

LM-STUDIO GGUF

llama · 1B · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

Global Score
55 vs 50
Hardware Fit
87 vs 79
Quality Score
41 vs 37

Hardware

qwen3.5-0.8b-mlx llama-3.2-1b-instr…
MachineMacBook AirLENOVO 20BUS00700
CPUApple M4Intel Core™ i5-5300U
Cores104
RAM32 GB16 GB
GPUApple M4Intel(R) HD Graphics 5500
OSmacOS 26.3Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3.5-0.8b-mlx llama-3.2-1b-instr…
Tokens/sec68.29.9
First chunk3268 ms1668 ms
TTFT3.3 s1.7 s
Load timeN/AN/A
Memory usage0.6 GB0.8 GB
Memory %2%5%

HW Fit Score Breakdown

qwen3.5-0.8b-mlx

Speed
50/50
TTFT
13/20
Memory
24/30

llama-3.2-1b-instruct

Speed
32/50
TTFT
20/20
Memory
27/30

Quality

qwen3.5-0.8b-mlx

Reasoning
8/20
Coding
1/20
Instruction
12/20
Structured
12/15
Math
3/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

llama-3.2-1b-instruct

Reasoning
4/20
Coding
3/20
Instruction
10/20
Structured
10/15
Math
2/15
Multilingual
8/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Strong
View qwen3.5-0.8b-mlx details | View llama-3.2-1b-instr… 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