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SoravsGPT-4 Turbo

OpenAI vs OpenAI — Side-by-side model comparison

GPT-4 Turbo leads 4/5 categories

Head-to-Head Comparison

MetricSoraGPT-4 Turbo
Provider
Arena Rank
#5
Context Window
N/A (video)
128K
Input Pricing
Subscription-based/1M tokens
$10.00/1M tokens
Output Pricing
Subscription-based/1M tokens
$30.00/1M tokens
Parameters
Undisclosed
Undisclosed
Open Source
No
No
Best For
Video generation, cinematic content, storytelling
Complex tasks, coding, analysis, vision
Release Date
Dec 9, 2024
Apr 9, 2024

Sora

Sora is OpenAI's groundbreaking video generation model capable of creating photorealistic videos up to one minute long from text descriptions. It demonstrates an understanding of physics, object permanence, and spatial relationships that surpassed all previous video generation models. Sora represents a major leap toward AI-generated cinematic content.

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GPT-4 Turbo

GPT-4 Turbo is OpenAI's optimized version of GPT-4, offering the same intelligence at a fraction of the cost and with a significantly larger 128K context window. It includes a knowledge cutoff of April 2024 and supports both text and vision inputs. GPT-4 Turbo delivers faster responses than the original GPT-4 while maintaining the same level of reasoning capability, making it ideal for production applications that need high-quality outputs without the latency or cost of the base GPT-4 model.

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S

When to use Sora

  • +Your use case involves video generation, cinematic content, storytelling
View full Sora specs →
G

When to use GPT-4 Turbo

  • +Your use case involves complex tasks, coding, analysis, vision
View full GPT-4 Turbo specs →

The Verdict

GPT-4 Turbo wins our head-to-head comparison with 4 out of 5 category wins. It's the stronger choice for complex tasks, coding, analysis, vision, though Sora holds an edge in video generation, cinematic content, storytelling.

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

Frequently Asked Questions

Which is better, Sora or GPT-4 Turbo?
In our head-to-head comparison, GPT-4 Turbo leads in 4 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). GPT-4 Turbo excels at complex tasks, coding, analysis, vision, while Sora is better suited for video generation, cinematic content, storytelling. The best choice depends on your specific requirements, budget, and use case.
How does Sora pricing compare to GPT-4 Turbo?
Sora charges Subscription-based per 1M input tokens and Subscription-based per 1M output tokens. GPT-4 Turbo charges $10.00 per 1M input tokens and $30.00 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 Sora and GPT-4 Turbo?
Sora supports a N/A (video) token context window, while GPT-4 Turbo supports 128K tokens. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use Sora or GPT-4 Turbo for free?
Sora is a paid API model starting at Subscription-based per 1M input tokens. GPT-4 Turbo is a paid API model starting at $10.00 per 1M input tokens.
Which model has better benchmarks, Sora or GPT-4 Turbo?
Sora's arena rank is not yet available, while GPT-4 Turbo holds rank #5. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is Sora or GPT-4 Turbo better for coding?
Sora's primary strength is video generation, cinematic content, storytelling. GPT-4 Turbo is specifically optimized for coding tasks. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.