2026 is wild. Four completely different AI models — GPT-5.2 for text, GPT Image 1.5 for images, Sora 2 for short videos, and Veo 3.1 for cinematic video — and each one requires a separate account, separate billing, and a separate SDK.
I got tired of juggling four different APIs, so I switched to NexaAPI — one unified SDK that gives you access to all of them at 75-85% cheaper than going direct.
Here's what I found.
The Setup (30 seconds)
pip install nexaapi
from nexaapi import NexaAPI
client = NexaAPI(api_key='YOUR_API_KEY')
That's it. Get your free key at nexa-api.com — no credit card needed.
GPT-5.2: The Text Powerhouse
GPT-5.2 has a 400K context window and is designed for autonomous agent workflows. Here's how I use it:
response = client.chat.completions.create(
model='gpt-5.2',
messages=[{'role': 'user', 'content': 'Explain quantum computing in simple terms'}]
)
print(response.choices[0].message.content)
My take: The reasoning quality is noticeably better than GPT-4o. The 400K context window is a game-changer for long document analysis.
GPT Image 1.5: Photorealistic Images
image = client.images.generate(
model='gpt-image-1.5',
prompt='A futuristic cityscape at sunset, photorealistic, 8K quality',
size='1024x1024'
)
print(image.data[0].url)
My take: At $0.003/image through NexaAPI (vs $0.020 direct), this is a no-brainer for any app that needs AI-generated visuals.
Sora 2: Quick Marketing Videos
video = client.videos.generate(
model='sora-2',
prompt='A timelapse of a blooming flower in a garden, cinematic quality',
duration=5
)
print(video.data[0].url)
My take: Perfect for 5-15 second marketing clips. Fast generation, consistent quality.
Veo 3.1: Cinematic Quality
video2 = client.videos.generate(
model='veo-3.1',
prompt='Aerial drone shot of a mountain range at golden hour, cinematic 4K',
duration=8,
resolution='1080p'
)
print(video2.data[0].url)
My take: This is the one for brand films and high-quality content. The 1080p output is genuinely impressive.
The Full Pipeline (All 4 Models)
Here's a complete multimodal content pipeline in under 50 lines:
from nexaapi import NexaAPI
client = NexaAPI(api_key='YOUR_API_KEY')
def create_content_package(topic: str):
# Text
text = client.chat.completions.create(
model='gpt-5.2',
messages=[{'role': 'user', 'content': f'Write a tagline for: {topic}'}]
).choices[0].message.content
# Image
img = client.images.generate(
model='gpt-image-1.5',
prompt=f'Professional photo of {topic}, white background',
size='1024x1024'
).data[0].url
# Short video
vid = client.videos.generate(
model='sora-2',
prompt=f'5-second promo clip for {topic}',
duration=5
).data[0].url
# Cinematic
cine = client.videos.generate(
model='veo-3.1',
prompt=f'Cinematic brand film for {topic}',
duration=8, resolution='1080p'
).data[0].url
return {'text': text, 'image': img, 'video': vid, 'cinematic': cine}
result = create_content_package('AI-powered smartwatch')
print(result)
Pricing: Why NexaAPI Wins
| Model | Direct | NexaAPI | Savings |
|---|---|---|---|
| GPT-5.2 | $0.015/1K | $0.003/1K | 80% |
| GPT Image 1.5 | $0.020/img | $0.003/img | 85% |
| Sora 2 | $0.20/vid | $0.05/vid | 75% |
| Veo 3.1 | $0.35/vid | $0.08/vid | 77% |
JavaScript Version
import NexaAPI from 'nexaapi'; // npm install nexaapi
const client = new NexaAPI({ apiKey: 'YOUR_API_KEY' });
// All 4 models
const text = await client.chat.completions.create({ model: 'gpt-5.2', messages: [...] });
const image = await client.images.generate({ model: 'gpt-image-1.5', prompt: '...' });
const video = await client.videos.generate({ model: 'sora-2', prompt: '...', duration: 5 });
const cinematic = await client.videos.generate({ model: 'veo-3.1', prompt: '...', duration: 8 });
Wrap Up
If you're building anything with AI in 2026, you shouldn't be managing 4 different API accounts. NexaAPI makes it one SDK, one key, one bill.
Which model are you most excited to build with? Drop a comment below! 👇
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