mistral:7b

OLLAMA GGUF

llama · 7.2B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

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

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Not Rec.

Mar 10, 2026 · Apple M4

Global Score

70 vs 34

Hardware Fit

94 vs 21

Quality Score

60 vs 39

Hardware

mistral:7b qwen3.5-27b-claude…

MachineMacBook AirMac mini

CPUApple M4Apple M4

Cores1010

RAM32 GB24 GB

GPUApple M4Apple M4

OSmacOS 26.3macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

mistral:7b qwen3.5-27b-claude…

Tokens/sec22.56.1

First chunk252 ms7 ms

TTFT252 ms22.9 s

Load time0.7 sN/A

Memory usage10.1 GB19.8 GB

Memory %32%82%

HW Fit Score Breakdown

mistral:7b

Speed

44/50

TTFT

20/20

Memory

30/30

qwen3.5-27b-claude-4.6-…

Speed

12/50

TTFT

0/20

Memory

9/30

Quality

mistral:7b

Reasoning

8/20

Coding

12/20

Instruction

14/20

Structured

14/15

Math

4/15

Multilingual

8/10

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

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

View mistral:7b details | View qwen3.5-27b-claude… 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