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qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 6, 2026 · Apple M4 Pro

deepseek-r1:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Good

Mar 5, 2026 · Intel Core™ i5-6500

Global Score
53 vs 66
Hardware Fit
89 vs 63
Quality Score
38 vs 67

Hardware

qwen3.5-0.8b-mlx deepseek-r1:7b
MachineMac miniGigabyte Technology Co., Ltd. H170M-D3H
CPUApple M4 ProIntel Core™ i5-6500
Cores144
RAM64 GB16 GB
GPUApple M4 ProGP104 [GeForce GTX 1070]
OSmacOS 15.7.4Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

qwen3.5-0.8b-mlx deepseek-r1:7b
Tokens/sec52.935.6
First chunk4013 ms224 ms
TTFT4.0 s7.5 s
Load timeN/A7.7 s
Memory usage0.6 GB4.6 GB
Memory %1%29%

HW Fit Score Breakdown

qwen3.5-0.8b-mlx

Speed
50/50
TTFT
9/20
Memory
30/30

deepseek-r1:7b

Speed
50/50
TTFT
7/20
Memory
6/30

Quality

qwen3.5-0.8b-mlx

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

deepseek-r1:7b

Reasoning
16/20
Coding
10/20
Instruction
9/20
Structured
10/15
Math
14/15
Multilingual
8/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Adequate Math: Strong Multilingual: Strong
View qwen3.5-0.8b-mlx details | View deepseek-r1:7b 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