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Together.ai Finetuning Too Complex? Switch to NexaAPI for Simple AI Inference
Last updated: March 2026
TL;DR:
Together AI's finetuning costs $0.48–$7.25/M tokens, plus dedicated endpoint hosting fees. Most developers don't need finetuning at all. NexaAPI gives you 50+ models at $0.003/image with zero setup — no training infrastructure required.
Together AI recently expanded its fine-tuning service with tool calling, reasoning, and vision support — but with that expansion comes serious complexity. Most developers don't need any of this. They just need to call an API and get results.
90% of AI use cases don't require finetuning at all. And for the 10% that do, Together AI's pricing can get complicated fast.
The Together.ai Finetuning Complexity Problem
Together AI's finetuning pricing (as of March 2026):
| Model Size | LoRA SFT | Full Fine-Tuning | DPO LoRA |
|---|---|---|---|
| Up to 16B | $0.48/M tokens | $0.54/M tokens | $1.20/M tokens |
| 17B–69B | $1.50/M tokens | $1.65/M tokens | $3.75/M tokens |
| 70B–100B | $2.90/M tokens | $3.20/M tokens | $7.25/M tokens |
That's just the training cost. After finetuning, you pay dedicated endpoint hosting fees (per minute, even when idle) on top of inference costs. Plus storage. Plus potential GPU cluster fees.
The setup requires:
- Prepare and format training datasets
- Configure finetuning jobs via CLI or API
- Monitor training progress
- Deploy the finetuned model to a dedicated endpoint
- Manage endpoint lifecycle (stop when not in use to avoid charges)
Do You Actually Need Finetuning?
Honest answer: probably not.
Most use cases can be solved with:
- Better prompting — System prompts and few-shot examples cover 80% of customization needs
- Model selection — Choosing the right base model often beats finetuning a smaller model
- RAG — For domain-specific knowledge, RAG is cheaper and more maintainable than finetuning
NexaAPI: 50+ Models, Zero Setup, $0.003/Image
NexaAPI gives you instant access to 50+ AI models — including image generation, video, audio, and LLMs — without any training infrastructure.
| Feature | Together AI | NexaAPI |
|---|---|---|
| Image Generation | $0.025/megapixel (FLUX.1) | $0.003/image |
| Setup Complexity | Finetuning infrastructure | Zero setup |
| Models Available | 150+ (complex pricing) | 50+ instantly accessible |
| Free Tier | No standard free tier | Available via RapidAPI |
| SDK | Custom CLI + Python SDK | pip install nexaapi |
Get Started in 3 Lines of Code
Python
# pip install nexaapi
from nexaapi import NexaAPI
client = NexaAPI(api_key='YOUR_API_KEY')
# Generate an image for just $0.003
response = client.image.generate(
model='flux-schnell',
prompt='A futuristic cityscape at sunset',
width=1024,
height=1024
)
print(response.image_url)
# No finetuning. No distributed training. Zero setup.JavaScript
// npm install nexaapi
import NexaAPI from 'nexaapi';
const client = new NexaAPI({ apiKey: 'YOUR_API_KEY' });
const response = await client.image.generate({
model: 'flux-schnell',
prompt: 'A futuristic cityscape at sunset',
width: 1024,
height: 1024
});
console.log(response.imageUrl);
// 50+ models. Zero setup. Instant access.Why Developers Are Switching
- Billing surprises: Dedicated endpoints charge per-minute even when idle
- Payment friction: Users report issues with card updates and failed charges
- Experimentation costs: Testing across multiple models adds up quickly
- Infrastructure overhead: Managing finetuning jobs requires significant DevOps knowledge
Get Started Free
- Try NexaAPI free on RapidAPI — no credit card required
- Install the SDK:
pip install nexaapi(PyPI) ornpm install nexaapi(npm) - Visit: nexa-api.com for full documentation
Stop wrestling with finetuning infrastructure. Start building.
50+ models. $0.003/image. Zero setup.
Sources: Together AI pricing page (March 2026), Together AI fine-tuning documentation, Together AI blog on fine-tuning expansion