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mistral:latest

OLLAMA GGUF

llama · 7.2B · Q4_0

Good

Feb 28, 2026 · Apple M4 Pro

qwen3-4b-qwen3.6-plus-reasoning-distilled

LM-STUDIO GGUF

qwen3 · 4B · Q4_1

Good

Apr 21, 2026 · Apple M2 Max

Global Score
72 vs 65
Hardware Fit
100 vs 96
Quality Score
60 vs 51

Hardware

mistral:latest qwen3-4b-qwen3.6-p…
MachineMac MiniMac Studio
CPUApple M4 ProApple M2 Max
Cores1412
RAM64 GB96 GB
GPUApple M4 ProApple M2 Max
OSmacOS 15.7.4macOS 26.1
Archarm64arm64
Power Modeunknownbalanced

Performance

mistral:latest qwen3-4b-qwen3.6-p…
Tokens/sec54.399.6
First chunkN/A18 ms
TTFT124 ms1.6 s
Load time0.0 s4.8 s
Memory usage9.9 GB0.3 GB
Memory %15%0%

HW Fit Score Breakdown

mistral:latest

Speed
40/50
TTFT
30/20
Memory
30/30

qwen3-4b-qwen3.6-plus-r…

Speed
50/50
TTFT
16/20
Memory
30/30

Quality

mistral:latest

Reasoning
8/20
Coding
15/20
Instruction
13/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

qwen3-4b-qwen3.6-plus-r…

Reasoning
8/20
Coding
4/20
Instruction
14/20
Structured
9/15
Math
8/15
Multilingual
8/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Adequate 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