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Stable Video DiffusionvsGPT-o3

Stability AI vs OpenAI — Side-by-side model comparison

GPT-o3 leads 4/5 categories

Head-to-Head Comparison

MetricStable Video DiffusionGPT-o3
Provider
Arena Rank
#2
Context Window
N/A (video)
200K
Input Pricing
Free (open)/1M tokens
$2.00/1M tokens
Output Pricing
Free (open)/1M tokens
$8.00/1M tokens
Parameters
1.5B
Undisclosed
Open Source
Yes
No
Best For
Video generation, animation, visual effects
Advanced reasoning, agentic tasks, research
Release Date
Nov 21, 2023
Apr 16, 2025

Stable Video Diffusion

Stable Video Diffusion is Stability AI's open-source video generation model that creates short video clips from text or image inputs. It represents one of the first widely available open models for AI video generation, enabling researchers and developers to experiment with video synthesis without relying on proprietary APIs. While generating shorter clips than commercial alternatives, its open nature has fostered significant community innovation.

View Stability AI profile →

GPT-o3

GPT-o3 is OpenAI's most advanced reasoning model, succeeding o1 as the frontier of deliberative AI. It uses an enhanced chain-of-thought approach where the model spends more compute time 'thinking' before responding, dramatically improving performance on complex STEM, mathematical, and logical reasoning tasks. With a 200K token context window and the ability to use tools during reasoning, o3 represents a significant leap in AI problem-solving capabilities. It achieved state-of-the-art results on the ARC-AGI benchmark, demonstrating near-human performance on novel reasoning challenges. The model is particularly strong at multi-step mathematical proofs, complex code debugging, and scientific analysis where careful step-by-step reasoning is essential. Originally priced at a premium, an 80% price reduction in June 2025 made o3 accessible to a much broader range of developers and applications.

View OpenAI profile →

Key Differences: Stable Video Diffusion vs GPT-o3

1

Stable Video Diffusion is open-source (free to self-host and fine-tune) while GPT-o3 is proprietary (API-only access).

S

When to use Stable Video Diffusion

  • +You need to self-host or fine-tune the model
  • +Your use case involves video generation, animation, visual effects
View full Stable Video Diffusion specs →
G

When to use GPT-o3

  • +You prefer a managed API without infrastructure overhead
  • +Your use case involves advanced reasoning, agentic tasks, research
View full GPT-o3 specs →

The Verdict

GPT-o3 wins our head-to-head comparison with 4 out of 5 category wins. It's the stronger choice for advanced reasoning, agentic tasks, research, though Stable Video Diffusion holds an edge in video generation, animation, visual effects.

Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages

Frequently Asked Questions

Which is better, Stable Video Diffusion or GPT-o3?
In our head-to-head comparison, GPT-o3 leads in 4 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). GPT-o3 excels at advanced reasoning, agentic tasks, research, while Stable Video Diffusion is better suited for video generation, animation, visual effects. The best choice depends on your specific requirements, budget, and use case.
How does Stable Video Diffusion pricing compare to GPT-o3?
Stable Video Diffusion charges Free (open) per 1M input tokens and Free (open) per 1M output tokens. GPT-o3 charges $2.00 per 1M input tokens and $8.00 per 1M output tokens. For high-volume production workloads, the pricing difference can significantly impact total cost of ownership.
What is the context window difference between Stable Video Diffusion and GPT-o3?
Stable Video Diffusion supports a N/A (video) token context window, while GPT-o3 supports 200K tokens. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use Stable Video Diffusion or GPT-o3 for free?
Stable Video Diffusion is a paid API model starting at Free (open) per 1M input tokens. GPT-o3 is a paid API model starting at $2.00 per 1M input tokens. Open-source models can be self-hosted for free but require your own GPU infrastructure.
Which model has better benchmarks, Stable Video Diffusion or GPT-o3?
Stable Video Diffusion's arena rank is not yet available, while GPT-o3 holds rank #2. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is Stable Video Diffusion or GPT-o3 better for coding?
Stable Video Diffusion's primary strength is video generation, animation, visual effects. GPT-o3's primary strength is advanced reasoning, agentic tasks, research. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.