Vedika Pro Ultra vs Amazon Nova Pro
Compare Vedika Pro Ultra and Amazon Nova Pro: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.
Updated 2026-05-21 · By Abhishek Raj · Our methodology
| Feature | Vedika Pro Ultra | Amazon Nova Pro |
|---|---|---|
| Category | Domain Specialist | Frontier |
| Parameters | 120B | ~300B |
| Context Window | 256K | 300K |
| Input Price | $0.12/1M tokens | $0.008/1M tokens |
| Output Price | $0.20/1M tokens | $0.032/1M tokens |
| Latency | ~600ms | ~300ms |
Choose Vedika Pro Ultra when:
- ✓ Kundali matching reports
- ✓ Multi-chart analysis
- ✓ Enterprise platforms
256K context, Deep yoga reasoning, Multi-system comparison
Choose Amazon Nova Pro when:
- ✓ Budget apps
- ✓ Document analysis
- ✓ Enterprise
Very low cost, 300K context, Multimodal
Verdict: Vedika Pro Ultra vs Amazon Nova Pro
For cost efficiency, Amazon Nova Pro wins at $0.008/1M input tokens. For speed, Amazon Nova Pro is faster at ~300ms. Vedika Pro Ultra excels at Kundali matching reports while Amazon Nova Pro is better for Budget apps. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
Vedika Pro Ultra costs $0.12/1M input tokens and $0.20/1M output tokens. Amazon Nova Pro costs $0.008 input and $0.032 output. Amazon Nova Pro is 15.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Vedika Pro Ultra has a 256K context window with ~600ms latency. Amazon Nova Pro offers 300K context at ~300ms. Amazon Nova Pro has the larger context window.
Best For
Vedika Pro Ultra (Domain Specialist) is optimized for: Kundali matching reports, Multi-chart analysis, Enterprise platforms. Amazon Nova Pro (Frontier) works best for: Budget apps, Document analysis, Enterprise.
Try Both on XALEN
Both models are available through XALEN's OpenAI-compatible API. Switch between them by changing the model parameter:
from xalen import XALEN
client = XALEN(api_key="xln_test_YOUR_KEY")
# Use Vedika Pro Ultra
response_a = client.chat.completions.create(
model="vedika-pro-ultra",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Amazon Nova Pro
response_b = client.chat.completions.create(
model="amazon-nova-pro",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Vedika Pro Ultra or Amazon Nova Pro?
Vedika Pro Ultra (Domain Specialist, 120B) offers 256K context. Amazon Nova Pro (Frontier, ~300B) offers Very low cost. Choose Vedika Pro Ultra for Kundali matching reports or Amazon Nova Pro for Budget apps.
How much does Vedika Pro Ultra cost vs Amazon Nova Pro?
Vedika Pro Ultra: $0.12/1M input, $0.20/1M output. Amazon Nova Pro: $0.008/1M input, $0.032/1M output. Both available on XALEN with batch processing at 50% discount.
Can I use both models on XALEN?
Yes. XALEN provides 200+ models through a single OpenAI-compatible API. Switch between Vedika Pro Ultra and Amazon Nova Pro by changing the model parameter. No code changes needed.
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Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.