Together.ai Finetuning Too Expensive? Use NexaAPI Instead
The real cost of DPO finetuning — and why most developers are better off with direct inference.
March 2026 · 5 min read
Together.ai's finetuning platform is impressive. But after running the numbers, many developers are realizing the same thing: finetuning is expensive, and for most use cases, you don't need it.
Here's the honest cost breakdown — and a cheaper path forward.
The Real Cost of Together.ai Finetuning
Dataset preparation
10–100+ hours of labeling
Training runs
$50–$500+ per run
Iteration cycles
3–10 runs typical
Total realistic cost
$200–$2,000+
Pricing Comparison: Finetuning vs Direct Inference
| Task | Together.ai Finetuning | NexaAPI Direct |
|---|---|---|
| Setup | Days + $200–$2,000 | 5 minutes + $0 |
| Image generation | Inference after training | $0.003–$0.05/image |
| Flux 2 Pro quality | Requires training | $0.05/image (instant) |
| Flux 2 Turbo (fast) | Requires training | $0.01/image (instant) |
| TTS (ElevenLabs) | Not available | Available via NexaAPI |
| Free tier | No | Yes (via RapidAPI) |
The Math is Clear
For a startup spending $500 on Together.ai finetuning, that same budget with NexaAPI buys:
- ✓10,000 high-quality Flux 2 Pro images ($0.05/image)
- ✓500,000 fast Flux 2 Turbo images ($0.001/image)
- ✓Months of LLM inference for your product
Get Started in 60 Seconds
Python
# pip install nexaapi
from nexaapi import NexaAPI
client = NexaAPI(api_key='YOUR_API_KEY')
# High quality — no training required
response = client.image.generate(
model='flux-2-pro',
prompt='Professional product photography, smartwatch on marble',
width=1024,
height=1024
)
print('Pro image:', response.image_url)
# Budget-friendly for high volume
fast = client.image.generate(
model='flux-2-turbo', # $0.01/image
prompt='Quick concept sketch for UI mockup',
width=512,
height=512
)
print('Fast image:', fast.image_url)JavaScript
// npm install nexaapi
import NexaAPI from 'nexaapi';
const client = new NexaAPI({ apiKey: 'YOUR_API_KEY' });
async function runWithoutFinetuning() {
// High-quality image generation
const proImage = await client.image.generate({
model: 'flux-2-pro',
prompt: 'Professional product photography, smartwatch on marble',
width: 1024,
height: 1024
});
console.log('Pro image:', proImage.imageUrl);
// Budget option
const fastImage = await client.image.generate({
model: 'flux-2-flash',
prompt: 'Quick concept art for mobile app icon',
width: 512,
height: 512
});
console.log('Fast image:', fastImage.imageUrl);
}
runWithoutFinetuning().catch(console.error);Use finetuning when you've exhausted prompt engineering. Not before.
50+ models. Free tier. Start in 5 minutes.