Sora vs Runway: OpenAI's Video Model vs the Market Leader

TL;DR

Sora 2 and Runway Gen-4 are both premium-tier video models with different strengths. Sora 2 has better physics simulation and built-in synchronized audio generation. Runway has more mature creative tools (motion brush, camera controls, director mode) and a longer track record. Both are expensive for serious use.

Sora 2 (OpenAI)

• Quality: Excellent physics simulation, strong prompt adherence
• Audio: Synchronized dialogue, sound effects from single prompt
• Max duration: 15-25 seconds
• Pricing: $0.10/sec (standard), $0.30-0.50/sec (Pro)
• Access: ChatGPT Plus/Pro subscription + API

Runway Gen-4

• Quality: Excellent, multiple model tiers (Aleph, standard, Turbo)
• Tools: Motion brush, camera controls, director mode, 4K upscaling
• Max duration: ~20 seconds per generation
• Pricing: $0.05-0.25/sec depending on model tier
• Access: Web platform + API

Comparison

Aspect	Sora 2	Runway Gen-4
Physics Simulation	Best-in-class	Very good
Creative Controls	Basic	Excellent (motion brush, camera)
Audio Integration	Built-in (synchronized)	Separate step
Max Duration	25 seconds	~20 seconds
Max Resolution	1080p	4K (upscaled)
Cheapest API	$0.10/sec	$0.05/sec (Turbo)
Ecosystem Maturity	New (Sep 2025)	Established (years)

Verdict

Choose Sora 2 if: You need the best physics simulation, want integrated audio, or are already in the OpenAI ecosystem.

Choose Runway if: You need precise creative control (camera movements, motion brush), want more model tier options for cost optimization, or need 4K output.

Both on Maginary: Maginary provides Sora 2 access alongside Kling and Seedance through a clean interface designed to get you generating fast — no complex setup, just prompt and go. Runway requires its own platform.