qwen3.5-27b-claude-4.6-opus-distilled-mlx

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Not Rec.

Mar 10, 2026 · Apple M4

mistral-nemo:12b

OLLAMA GGUF

llama · 12.2B · Q4_0

Good

Mar 1, 2026 · Apple M4

Global Score

34 vs 71

Hardware Fit

21 vs 86

Quality Score

39 vs 65

Hardware

qwen3.5-27b-claude… mistral-nemo:12b

MachineMac miniMacBook Air

CPUApple M4Apple M4

Cores1010

RAM24 GB32 GB

GPUApple M4Apple M4

OSmacOS 26.3macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

qwen3.5-27b-claude… mistral-nemo:12b

Tokens/sec6.114.6

First chunk7 msN/A

TTFT22.9 s371 ms

Load timeN/A1.0 s

Memory usage19.8 GB13.3 GB

Memory %82%42%

HW Fit Score Breakdown

qwen3.5-27b-claude-4.6-…

Speed

12/50

TTFT

0/20

Memory

9/30

mistral-nemo:12b

Speed

26/50

TTFT

30/20

Memory

30/30

Quality

qwen3.5-27b-claude-4.6-…

Reasoning

1/20

Coding

14/20

Instruction

5/20

Structured

8/15

Math

4/15

Multilingual

7/10

Reasoning: Poor Coding: Adequate Instruction Following: Weak Structured Output: Adequate Math: Poor Multilingual: Adequate

mistral-nemo:12b

Reasoning

12/20

Coding

13/20

Instruction

11/20

Structured

15/15

Math

4/15

Multilingual

10/10

Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

View qwen3.5-27b-claude… details | View mistral-nemo:12b 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