Vedika Pro Ultra vs E5 Large v2
Compare Vedika Pro Ultra and E5 Large v2: 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 | E5 Large v2 |
|---|---|---|
| Category | Domain Specialist | Embedding |
| Parameters | 120B | 335M |
| Context Window | 256K | 512 |
| Input Price | $0.12/1M tokens | $0.002/1M tokens |
| Output Price | $0.20/1M tokens | N/A/1M tokens |
| Latency | ~600ms | ~20ms |
Choose Vedika Pro Ultra when:
- ✓ Kundali matching reports
- ✓ Multi-chart analysis
- ✓ Enterprise platforms
256K context, Deep yoga reasoning, Multi-system comparison
Choose E5 Large v2 when:
- ✓ Classical text search
- ✓ RAG pipelines
- ✓ Knowledge retrieval
1024 dimensions, Fast, Multi-lingual
Verdict: Vedika Pro Ultra vs E5 Large v2
For cost efficiency, E5 Large v2 wins at $0.002/1M input tokens. For speed, E5 Large v2 is faster at ~20ms. Vedika Pro Ultra excels at Kundali matching reports while E5 Large v2 is better for Classical text search. 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. E5 Large v2 costs $0.002 input and N/A output. E5 Large v2 is 60.0x 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. E5 Large v2 offers 512 context at ~20ms. 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. E5 Large v2 (Embedding) works best for: Classical text search, RAG pipelines, Knowledge retrieval.
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 E5 Large v2
response_b = client.chat.completions.create(
model="e5-large-v2",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Vedika Pro Ultra or E5 Large v2?
Vedika Pro Ultra (Domain Specialist, 120B) offers 256K context. E5 Large v2 (Embedding, 335M) offers 1024 dimensions. Choose Vedika Pro Ultra for Kundali matching reports or E5 Large v2 for Classical text search.
How much does Vedika Pro Ultra cost vs E5 Large v2?
Vedika Pro Ultra: $0.12/1M input, $0.20/1M output. E5 Large v2: $0.002/1M 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 E5 Large v2 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.