Vedika Pro Ultra vs Claude Haiku 3.5
Compare Vedika Pro Ultra and Claude Haiku 3.5: 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 | Claude Haiku 3.5 |
|---|---|---|
| Category | Domain Specialist | Compact |
| Parameters | 120B | ~20B |
| Context Window | 256K | 200K |
| Input Price | $0.12/1M tokens | $0.008/1M tokens |
| Output Price | $0.20/1M tokens | $0.04/1M tokens |
| Latency | ~600ms | ~150ms |
Choose Vedika Pro Ultra when:
- ✓ Kundali matching reports
- ✓ Multi-chart analysis
- ✓ Enterprise platforms
256K context, Deep yoga reasoning, Multi-system comparison
Choose Claude Haiku 3.5 when:
- ✓ High-volume APIs
- ✓ Fast chatbots
- ✓ Content moderation
Very fast, Low cost, 200K context
Verdict: Vedika Pro Ultra vs Claude Haiku 3.5
For cost efficiency, Claude Haiku 3.5 wins at $0.008/1M input tokens. For speed, Claude Haiku 3.5 is faster at ~150ms. Vedika Pro Ultra excels at Kundali matching reports while Claude Haiku 3.5 is better for High-volume APIs. 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. Claude Haiku 3.5 costs $0.008 input and $0.04 output. Claude Haiku 3.5 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. Claude Haiku 3.5 offers 200K context at ~150ms. 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. Claude Haiku 3.5 (Compact) works best for: High-volume APIs, Fast chatbots, Content moderation.
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 Claude Haiku 3.5
response_b = client.chat.completions.create(
model="claude-haiku-3-5",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Vedika Pro Ultra or Claude Haiku 3.5?
Vedika Pro Ultra (Domain Specialist, 120B) offers 256K context. Claude Haiku 3.5 (Compact, ~20B) offers Very fast. Choose Vedika Pro Ultra for Kundali matching reports or Claude Haiku 3.5 for High-volume APIs.
How much does Vedika Pro Ultra cost vs Claude Haiku 3.5?
Vedika Pro Ultra: $0.12/1M input, $0.20/1M output. Claude Haiku 3.5: $0.008/1M input, $0.04/1M 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 Claude Haiku 3.5 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.