Together.ai Dedicated Inference: Is It Worth the Cost? (Cheaper Alternatives for 2026)
Together.ai just launched Dedicated Model Inference — reserved GPU capacity for production workloads. But at $3.99–$9.95/hour per GPU, is it the right choice for most developers? Here's the full cost breakdown and a cheaper alternative.
What Is Together.ai Dedicated Inference?
Together.ai now offers Dedicated Model Inference — single-tenant GPU instances with guaranteed performance and no resource sharing. Unlike their serverless inference (pay-per-token), dedicated endpoints give you reserved compute capacity.
Dedicated Inference Pricing
| Hardware | Price/Hour |
|---|---|
| 1x H100 80GB | $3.99/hr |
| 1x H200 141GB | $5.49/hr |
| 1x B200 180GB | $9.95/hr |
Monthly cost estimate:
- 1x H100 running 24/7 = $3.99 × 24 × 30 = $2,872/month
- 1x H200 running 24/7 = $5.49 × 24 × 30 = $3,953/month
- 1x B200 running 24/7 = $9.95 × 24 × 30 = $7,164/month
For context, Together.ai's serverless inference starts at $0.06/1M tokens for budget models (Llama 3.2 3B) and $0.27–$1.25/1M tokens for mid-tier and premium models.
What Does This Mean for Developers?
Dedicated inference makes sense for:
- Predictable, high-volume traffic (you're running millions of requests/day)
- Latency-sensitive applications (voice AI, real-time tools)
- Custom model deployments (your own fine-tuned models)
But for most developers and startups, dedicated inference is overkill and expensive:
- You pay even when idle — $3.99/hr means $95/day whether you use it or not
- Minimum commitment risk — reserved capacity locks you into a cost floor
- Serverless is often cheaper — if your traffic is variable, pay-per-token wins
- Model lock-in — dedicated endpoints are model-specific, not multi-model
Price Comparison: Together.ai vs NexaAPI
| Feature | Together.ai Serverless | Together.ai Dedicated | NexaAPI |
|---|---|---|---|
| Pricing model | Per token | Per hour (GPU) | Per token/image |
| Min cost | $0 | ~$95/day (H100) | $0 |
| Image generation | $0.025/megapixel | Custom | $0.003/image |
| Models available | 74 serverless | 153 dedicated | 56+ unified |
| Multi-model SDK | No | No | Yes |
| Commitment required | No | Yes (hourly) | No |
NexaAPI gives you access to 56+ AI models — LLMs, image generation, video, audio — through one SDK with no reserved capacity required.
NexaAPI: The Pay-As-You-Go Alternative
For developers who don't need dedicated GPU capacity, NexaAPI offers the same powerful models at a fraction of the cost:
- $0.003/image (13x cheaper than Together.ai's image pricing)
- 56+ models in one SDK — no model-specific setup
- No minimum commitment — pay only for what you use
- OpenAI-compatible — drop-in replacement
Python Code Example
# pip install nexaapi
from nexaapi import NexaAPI
client = NexaAPI(api_key='YOUR_API_KEY')
# LLM inference — no dedicated GPU required
response = client.chat.completions.create(
model='llama-3.1-70b',
messages=[
{'role': 'user', 'content': 'Summarize this quarterly report...'}
]
)
print(response.choices[0].message.content)
# Image generation — $0.003/image (vs $0.025+/megapixel on Together.ai)
image = client.images.generate(
model='flux-schnell',
prompt='Professional product photo, white background'
)
print(image.data[0].url)
JavaScript Code Example
// npm install nexaapi
import NexaAPI from 'nexaapi';
const client = new NexaAPI({ apiKey: 'YOUR_API_KEY' });
async function main() {
// LLM inference — no dedicated GPU required
const response = await client.chat.completions.create({
model: 'llama-3.1-70b',
messages: [
{ role: 'user', content: 'Summarize this quarterly report...' }
]
});
console.log(response.choices[0].message.content);
// Image generation — $0.003/image
const image = await client.images.generate({
model: 'flux-schnell',
prompt: 'Professional product photo, white background'
});
console.log(image.data[0].url);
}
main();
When Should You Use Together.ai Dedicated vs NexaAPI?
Choose Together.ai Dedicated if:
- You're processing 100M+ tokens/day consistently
- You need sub-100ms latency guarantees
- You have a custom model that needs dedicated deployment
- Your team has DevOps resources to manage dedicated endpoints
Choose NexaAPI if:
- You're a startup or indie developer
- Your traffic is variable or unpredictable
- You want access to multiple model types (LLM + image + video + audio)
- You want to minimize fixed costs and pay only for usage
- You want the cheapest image generation available ($0.003/image)
Getting Started with NexaAPI
# Python
pip install nexaapi
# Node.js
npm install nexaapi
- Get your free API key at https://nexa-api.com
- No credit card required to start
- Access 56+ models immediately
Also available on RapidAPI: https://rapidapi.com/user/nexaquency
Conclusion
Together.ai's Dedicated Inference is a solid product for high-volume production workloads — but at $3.99–$9.95/hour, it's priced for enterprise teams, not individual developers or early-stage startups.
For most developers, NexaAPI's pay-as-you-go model is the smarter choice: 56+ models, $0.003/image, no minimum commitment, and a unified SDK that works across LLMs, image generation, video, and audio.
👉 Get started: https://nexa-api.com
📦 Python SDK: pip install nexaapi | PyPI
📦 Node SDK: npm install nexaapi | npm
🚀 RapidAPI: https://rapidapi.com/user/nexaquency
Source: Together.ai pricing page (March 2026) | pricepertoken.com (March 27, 2026)
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