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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
128K
Input Pricing
$10.00/1M tokens
Output Pricing
$30.00/1M tokens
Parameters
Undisclosed
Undisclosed
Open Source
No
No
Best For
Video generation from text
Complex tasks, coding, analysis, vision
Release Date
Dec 9, 2024
Apr 9, 2024

Sora

Sora, developed by OpenAI, is a text-to-video model capable of generating realistic 1080p video clips up to one minute long from text descriptions. The model demonstrates understanding of physics, spatial relationships, and temporal consistency, producing videos with coherent motion and scene continuity. Sora can create complex scenes with multiple characters, specific camera movements, and accurate environmental details. Its diffusion transformer architecture processes video as sequences of spacetime patches, enabling flexible generation of diverse video types. The model supports text-to-video, image-to-video, and video extension capabilities. Available with usage limits through OpenAI's platform, Sora competes with Google's Veo 2 and Runway's Gen-3 in the commercial AI video market. Its release accelerated industry-wide investment in generative video technology and sparked discussion about the future of content creation and visual media production.

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GPT-4 Turbo

GPT-4 Turbo, developed by OpenAI, is an optimized variant of GPT-4 with a 128K token context window and vision capabilities for processing both text and images. The model excels at complex coding, analysis, creative writing, and multi-step reasoning tasks. GPT-4 Turbo introduced a knowledge cutoff update and substantial pricing reductions compared to the original GPT-4, democratizing access to frontier-class AI. It supports function calling, JSON mode, and reproducible outputs through seed parameters. Priced at $10.00 per million input tokens and $30.00 per million output tokens, it serves as a reliable workhorse for demanding enterprise applications. GPT-4 Turbo ranks #5 on the Chatbot Arena leaderboard, maintaining strong competitive positioning among the most capable commercial language models available through any provider.

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S

When to use Sora

  • +Your use case involves video generation from text
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 from text.

Last compared: April 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 from text. The best choice depends on your specific requirements, budget, and use case.
How does Sora pricing compare to GPT-4 Turbo?
Sora charges an undisclosed amount per 1M input tokens and an undisclosed amount 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 undisclosed 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 an undisclosed rate 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 from text. GPT-4 Turbo is specifically optimized for coding tasks. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.