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DJI Neo vs DJI Inspire 1

🏆 Settled

DJI Inspire 1 — Pick the DJI Inspire 1 — it leads these groups: Camera 1

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

The short answer

DJI Inspire 1 wins this comparison with a score of 68/100, ahead of DJI Neo (42).

The main differences: Weight (135 g vs 249 g) · Camera resolution (12 MP vs 50 MP) · Max video (4K30 vs 4K).

Scores are computed from 7 public spec attributes; missing values stay marked unknown in tables and are imputed at the category median, never passed off as measured.

DJI Neo

DJI Neo

DJI
42score / 100
1 win · 5 tied PCMag ★ 3.5
🏆 Overall winner DJI Inspire 1

DJI Inspire 1

DJI
68score / 100
1 win · 5 tied

At a glance

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

DJI NeoDJI Inspire 1
Design 100 97
Flight 0 67
Camera 8 48
Value 100 62

How to choose

Pick the DJI Neo if you care about…

  • Weight 135 g +114 g vs 249 g

Pick the DJI Inspire 1 if you care about…

  • Camera resolution 50 MP +38 MP vs 12 MP

Best price now

Cheap alternatives

Where they differ

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

DJI NeoDJI Inspire 1Where they differ
Weight 135 g249 g DJI Neo
Camera resolution 12 MP50 MP DJI Inspire 1
Max video 4K304K Depends

The record

Grouped and collapsible · Tap a group to fold

Design1▾
DJI NeoDJI Inspire 1
Weight 135 g 249 g
Flight3▾
DJI NeoDJI Inspire 1
Max flight time 18 min —
Omnidirectional obstacle sensing — —
Transmission range 10 km —
Camera2▾
DJI NeoDJI Inspire 1
Camera resolution 12 MP 50 MP
Max video 4K30 4K
Value1▾
DJI NeoDJI Inspire 1
Price 199 USD —

Data sources: Amazon

FAQ

Which is better, DJI Neo or DJI Inspire 1?

DJI Inspire 1 has the higher overall score (68 vs 42) and leads in Camera. Choose DJI Neo instead if Weight matters more to you.

What are the main differences?

The main differences: Weight (135 g vs 249 g) · Camera resolution (12 MP vs 50 MP) · Max video (4K30 vs 4K).

How are the scores calculated?

We normalize 7 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.