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qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 3, 2026 · Apple M4

qwen3-235b-a22b-t48-c8k:latest

OLLAMA GGUF

qwen3moe · 235.1B · Q4_K_M

Not Rec.

Sep 7, 2026 · Intel Xeon® E5-4650 v2

Global Score
55 vs 65
Hardware Fit
87 vs 29
Quality Score
41 vs 81

Hardware

qwen3.5-0.8b-mlx qwen3-235b-a22b-t4…
MachineMacBook AirDell Inc. PowerEdge R820
CPUApple M4Intel Xeon® E5-4650 v2
Cores1080
RAM32 GB256 GB
GPUApple M4Microsoft Remote Display Adapter, NVIDIA Tesla P4, NVIDIA Tesla P4, Microsoft Basic Display Adapter
OSmacOS 26.3Microsoft Windows Server 2022 Datacenter 10.0.20348
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3.5-0.8b-mlx qwen3-235b-a22b-t4…
Tokens/sec68.22.4
First chunk3268 ms5833 ms
TTFT3.3 s5.8 s
Load timeN/A0.0 s
Memory usage0.6 GB135.1 GB
Memory %2%53%

HW Fit Score Breakdown

qwen3.5-0.8b-mlx

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

qwen3-235b-a22b-t48-c8k…

Speed
2/50
TTFT
3/20
Memory
24/30

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

qwen3-235b-a22b-t48-c8k…

Reasoning
19/20
Coding
15/20
Instruction
10/20
Structured
14/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Strong 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