Vedika Pro Ultra vs Nomic Embed Text v1.5
Compare Vedika Pro Ultra and Nomic Embed Text v1.5: 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 | Nomic Embed Text v1.5 |
|---|---|---|
| Category | Domain Specialist | Embedding |
| Parameters | 120B | 137M |
| Context Window | 256K | 8K |
| Input Price | $0.12/1M tokens | $0.001/1M tokens |
| Output Price | $0.20/1M tokens | N/A/1M tokens |
| Latency | ~600ms | ~10ms |
Choose Vedika Pro Ultra when:
- ✓ Kundali matching reports
- ✓ Multi-chart analysis
- ✓ Enterprise platforms
256K context, Deep yoga reasoning, Multi-system comparison
Choose Nomic Embed Text v1.5 when:
- ✓ Long document embedding
- ✓ Semantic search
- ✓ Clustering
8K context, Very low cost, Fast
Verdict: Vedika Pro Ultra vs Nomic Embed Text v1.5
For cost efficiency, Nomic Embed Text v1.5 wins at $0.001/1M input tokens. For speed, Nomic Embed Text v1.5 is faster at ~10ms. Vedika Pro Ultra excels at Kundali matching reports while Nomic Embed Text v1.5 is better for Long document embedding. 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. Nomic Embed Text v1.5 costs $0.001 input and N/A output. Nomic Embed Text v1.5 is 120.0x 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. Nomic Embed Text v1.5 offers 8K context at ~10ms. Vedika Pro Ultra has the larger context window.
Best For
Vedika Pro Ultra (Domain Specialist) is optimized for: Kundali matching reports, Multi-chart analysis, Enterprise platforms. Nomic Embed Text v1.5 (Embedding) works best for: Long document embedding, Semantic search, Clustering.
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 Nomic Embed Text v1.5
response_b = client.chat.completions.create(
model="nomic-embed-text-v1-5",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Vedika Pro Ultra or Nomic Embed Text v1.5?
Vedika Pro Ultra (Domain Specialist, 120B) offers 256K context. Nomic Embed Text v1.5 (Embedding, 137M) offers 8K context. Choose Vedika Pro Ultra for Kundali matching reports or Nomic Embed Text v1.5 for Long document embedding.
How much does Vedika Pro Ultra cost vs Nomic Embed Text v1.5?
Vedika Pro Ultra: $0.12/1M input, $0.20/1M output. Nomic Embed Text v1.5: $0.001/1M input, N/A/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 Nomic Embed Text v1.5 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.