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DJI Mavic Pro vs DJI Mavic Pro Platinum

🏆 Settled

DJI Mavic Pro — Pick the DJI Mavic Pro — it leads these groups: Camera 1

Tap a group name to see the proof · The scoring method is public

The short answer

DJI Mavic Pro wins this comparison with a score of 80/100, ahead of DJI Mavic Pro Platinum (54).

The main differences: Weight (743 g vs 725.7 g) · Camera resolution (100 MP vs 12 MP) · Max video (4K, 6K vs 1080p).

Scores are computed from 3 public spec attributes; missing values stay marked unknown in tables and are imputed at the category median, never passed off as measured.

🏆 Overall winner DJI Mavic Pro

DJI Mavic Pro

DJI
80score / 100
1 win · 1 tie
DJI Mavic Pro Platinum

DJI Mavic Pro Platinum

DJI
54score / 100
1 win · 1 tie

At a glance

0–100 per group, normalized within the category · Tap a group for details

DJI Mavic ProDJI Mavic Pro Platinum
Design 86 87
Camera 100 8

How to choose

Pick the DJI Mavic Pro if you care about…

  • Camera resolution 100 MP +88 MP vs 12 MP

Pick the DJI Mavic Pro Platinum if you care about…

  • Weight 725.7 g +17.3 g vs 743 g

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Cheap alternatives

Where they differ

3 · Only rows that actually differ, with a verdict per row

DJI Mavic ProDJI Mavic Pro PlatinumWhere they differ
Weight 743 g725.7 g DJI Mavic Pro Platinum
Camera resolution 100 MP12 MP DJI Mavic Pro
Max video 4K, 6K1080p Depends

The record

Grouped and collapsible · Tap a group to fold

Design1▾
DJI Mavic ProDJI Mavic Pro Platinum
Weight 743 g 725.7 g
Camera2▾
DJI Mavic ProDJI Mavic Pro Platinum
Camera resolution 100 MP 12 MP
Max video 4K, 6K 1080p

Data sources: Amazon

FAQ

Which is better, DJI Mavic Pro or DJI Mavic Pro Platinum?

DJI Mavic Pro has the higher overall score (80 vs 54) and leads in Camera. Choose DJI Mavic Pro Platinum instead if Weight matters more to you.

What are the main differences?

The main differences: Weight (743 g vs 725.7 g) · Camera resolution (100 MP vs 12 MP) · Max video (4K, 6K vs 1080p).

How are the scores calculated?

We normalize 3 public spec attributes within the category and weight them by group into a 0–100 score; missing values are inherited from spec-identical twins or imputed at the category median, so a sparse spec sheet never earns an advantage. The methodology is public.