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qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 3, 2026 · Apple M4

internlm2:7b

OLLAMA GGUF

internlm2 · 7.7B · Q4_0

Good

Mar 6, 2026 · Apple M4

Global Score
55 vs 77
Hardware Fit
87 vs 95
Quality Score
41 vs 69

Hardware

qwen3.5-0.8b-mlx internlm2:7b
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 internlm2:7b
Tokens/sec68.222.7
First chunk3268 ms250 ms
TTFT3.3 s250 ms
Load timeN/A0.7 s
Memory usage0.6 GB10.6 GB
Memory %2%33%

HW Fit Score Breakdown

qwen3.5-0.8b-mlx

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

internlm2:7b

Speed
45/50
TTFT
20/20
Memory
30/30

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

internlm2:7b

Reasoning
12/20
Coding
10/20
Instruction
13/20
Structured
14/15
Math
11/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen3.5-0.8b-mlx details | View internlm2:7b 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