Sora 2: Complete Specifications, Pricing, API Access & Use Cases (2026)

What Is Sora 2?

Sora 2 is OpenAI’s video-and-audio generation model, released on September 30, 2025, featuring text- and image-conditioned 720p video generation with synchronized audio, with OpenAI API pricing listed at \$0.10 per second as of July 2026.

OpenAI describes Sora 2 as a media-generation model designed to create detailed, dynamic clips from natural language or image inputs. Its official model page lists text and image as input modalities and video and audio as output modalities, making it a specialized multimodal generation model rather than a general-purpose language model.

Sora 2 is relevant for teams researching AI video generation, cinematic concepting, short-form social video drafts, image-to-video workflows, and audiovisual prototyping. It is not a replacement for human-directed production, legal review, copyright clearance, or factual verification.

What Are Sora 2’s Key Specifications and Pricing?

What Can Sora 2 Do That Makes It Useful in Production?

Sora 2 can generate 720p videos from natural-language prompts, which makes it useful for early creative exploration, storyboard development, motion studies, and short-form content prototyping. OpenAI describes sora-2 as designed for speed and flexibility, especially during the exploration phase when teams need rapid feedback rather than final-pixel fidelity.

It can also create video from reference images, helping teams preserve a visual direction while testing motion, camera behavior, lighting, and scene composition. This is especially relevant for image-to-video workflows, brand-safe concepting, and creative previsualization, although human review remains necessary for visual consistency and rights-sensitive content.

Sora 2’s audio output is a key differentiator for workflows that need synchronized sound effects, ambient audio, or dialogue-like audiovisual timing in a single generated clip. OpenAI’s model page lists audio as output only, so Sora 2 should be treated as a video-and-audio generator rather than an audio-input editing system.

For teams evaluating model routing across creative and non-creative workloads, GPT-5.5 API access and use cases can help separate text-reasoning needs from media-generation needs, while Seedance 2.0 video generation specs provide a relevant comparison point for short-video generation workflows.

What Are Sora 2’s Supported Modalities?

Where Does Sora 2 Fall Short?

Sora 2 does not publish a conventional LLM-style context window, knowledge cutoff, or text-token pricing because it is a media-generation model rather than a language model. Teams comparing it with LLMs should avoid treating missing token-context fields as equivalent to missing model quality data.

The model is limited to 720p output in the standard sora-2 pricing entry. OpenAI recommends sora-2-pro when 1080p exports are required, which means Sora 2 may be more appropriate for exploration, rough cuts, and social content than final high-resolution production assets.

Sora 2 also uses an asynchronous video-generation workflow. OpenAI documents job creation through POST /videos, status polling through GET /videos/{video_id}, webhook notifications, and MP4 retrieval after completion. This workflow is suitable for media pipelines but less suitable for real-time experiences requiring immediate video output.

Safety and rights restrictions are material. OpenAI’s video-generation guide states that prompts or references involving copyrighted characters, copyrighted music, real people, human likeness uploads, and human faces in input images may be rejected. These restrictions can affect entertainment, influencer, advertising, and character-driven workflows.

This is a general AI limitation and is not model-specific unless stated by the provider: generated video can contain visual artifacts, unrealistic motion, continuity errors, misleading scenes, or inaccurate representations. Legal, medical, financial, political, identity-sensitive, or evidentiary uses require expert human review and should not rely on generated media as authoritative proof.

What Is Sora 2 Best Used For?

For broader AI production planning, Gemini 2.5 Flash use cases and Claude Sonnet 4.6 API access patterns provide useful contrast for non-video reasoning, writing, and analysis workflows.

How Does Sora 2 Compare to Sora 2 Pro and Veo?

This comparison does not declare a universal winner. Sora 2 is most relevant when teams need 720p OpenAI video generation with synchronized audio and predictable per-second pricing. Sora 2 Pro may fit higher-fidelity OpenAI workflows, while Veo is relevant for teams already building around Google’s media-generation ecosystem.

How Do I Access Sora 2 Through Gate.AI?

As per Gate.AI listing, Sora 2 is available with the model ID openai/sora-2, output pricing of \$0.10 per second, and 720p video-generation positioning. Gate.AI’s public documentation describes a video-generation API using POST /api/v1/videos, Bearer-token authentication, asynchronous job submission, status polling through GET /api/v1/videos/{job_id}, and video download through GET /api/v1/videos/{job_id}/content.

The Gate.AI video endpoint documentation includes fields such as model, prompt, duration, resolution, aspect_ratio, generate_audio, and billing/status fields in the job response. Because OpenAI documents Sora 2 as supporting up to 20-second generations while Gate.AI’s public video endpoint documentation lists a generic 4–15 second duration field, teams should verify accepted duration values in the Gate.AI console before production deployment.

Python Example

import os
import requests
api_key = os.environ["GATEAI_API_KEY"]
response = requests.post(
    "https://api.gate.ai/api/v1/videos",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
        "Idempotency-Key": "sora-2-demo-001",
    },
    json={
        "model": "openai/sora-2",
        "prompt": (
            "A cinematic 720p tracking shot of a rain-soaked city street at night, "
            "neon reflections on the pavement, slow dolly movement, ambient audio."
        ),
        "duration": 15,
        "resolution": "720p",
        "aspect_ratio": "16:9",
        "generate_audio": True,
        "seed": -1
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

curl Example

curl -X POST "https://api.gate.ai/api/v1/videos" \
  -H "Authorization: Bearer $GATEAI_API_KEY" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: sora-2-demo-001" \
  -d '{
    "model": "openai/sora-2",
    "prompt": "A cinematic 720p tracking shot of a rain-soaked city street at night, neon reflections on the pavement, slow dolly movement, ambient audio.",
    "duration": 15,
    "resolution": "720p",
    "aspect_ratio": "16:9",
    "generate_audio": true,
    "seed": -1
  }'

For direct OpenAI access, OpenAI documents Sora video generation through POST /v1/videos, status polling, webhook notification, and MP4 download after completion. OpenAI’s Python SDK example uses client.videos.create_and_poll(model="sora-2", prompt=...), and its curl examples use Authorization: Bearer $OPENAI_API_KEY.

FAQs

What is Sora 2’s main specification?
Sora 2 is OpenAI’s 720p video-and-audio generation model. It accepts text and image inputs and outputs video with audio. OpenAI lists portrait 720x1280 and landscape 1280x720 output formats as of July 2026.

How much does Sora 2 cost?
OpenAI lists Sora 2 at \$0.10 per second for 720p video generation as of July 2026. As per Gate.AI listing, openai/sora-2 also shows output pricing of \$0.10 per second.

Can developers access Sora 2 through an API?
Yes. OpenAI documents Sora 2 through the v1/videos API workflow. Gate.AI also documents an asynchronous video-generation endpoint, with openai/sora-2 listed as the Gate.AI model ID for Sora 2.

What is Sora 2 best used for?
Sora 2 is suitable for 720p cinematic drafts, storyboarding, reference-image animation, social video prototyping, and audiovisual concept testing. It should not be used as final evidence, rights clearance, or high-stakes decision support without expert human review.