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mistral:latest

OLLAMA GGUF

llama · 7.2B · Q4_0

Good

Feb 28, 2026 · Apple M4 Pro

qwen36-distill-apex

OLLAMA GGUF
Not Rec.

Jul 17, 2026 · Apple M5 Max

Global Score
72 vs 36
Hardware Fit
100 vs 100
Quality Score
60 vs 8

Hardware

mistral:latest qwen36-distill-apex
MachineMac MiniMacBook Pro
CPUApple M4 ProApple M5 Max
Cores1418
RAM64 GB64 GB
GPUApple M4 ProApple M5 Max
OSmacOS 15.7.4macOS 27.0
Archarm64arm64
Power Modeunknownbalanced

Performance

mistral:latest qwen36-distill-apex
Tokens/sec54.355.2
First chunkN/A210 ms
TTFT124 ms210 ms
Load time0.0 s4.8 s
Memory usage9.9 GB0.9 GB
Memory %15%2%

HW Fit Score Breakdown

mistral:latest

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

qwen36-distill-apex

Speed
50/50
TTFT
20/20
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

qwen36-distill-apex

Reasoning
8/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
View mistral:latest details | View qwen36-distill-apex 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