Vedika Pro Ultra vs Hermes 3 70B
Compare Vedika Pro Ultra and Hermes 3 70B: 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 | Hermes 3 70B |
|---|---|---|
| Category | Domain Specialist | Open Source |
| Parameters | 120B | 70B |
| Context Window | 256K | 128K |
| Input Price | $0.12/1M tokens | $0.04/1M tokens |
| Output Price | $0.20/1M tokens | $0.06/1M 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 Hermes 3 70B when:
- ✓ Agent frameworks
- ✓ Tool use
- ✓ Structured output
Strong function calling, Community-tuned, Good reasoning
Verdict: Vedika Pro Ultra vs Hermes 3 70B
For cost efficiency, Hermes 3 70B wins at $0.04/1M input tokens. For speed, Hermes 3 70B is faster at ~300ms. Vedika Pro Ultra excels at Kundali matching reports while Hermes 3 70B is better for Agent frameworks. 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. Hermes 3 70B costs $0.04 input and $0.06 output. Hermes 3 70B is 3.0x 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. Hermes 3 70B offers 128K context at ~300ms. 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. Hermes 3 70B (Open Source) works best for: Agent frameworks, Tool use, Structured output.
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 Hermes 3 70B
response_b = client.chat.completions.create(
model="hermes-3-70b",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Vedika Pro Ultra or Hermes 3 70B?
Vedika Pro Ultra (Domain Specialist, 120B) offers 256K context. Hermes 3 70B (Open Source, 70B) offers Strong function calling. Choose Vedika Pro Ultra for Kundali matching reports or Hermes 3 70B for Agent frameworks.
How much does Vedika Pro Ultra cost vs Hermes 3 70B?
Vedika Pro Ultra: $0.12/1M input, $0.20/1M output. Hermes 3 70B: $0.04/1M input, $0.06/1M 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 Hermes 3 70B by changing the model parameter. No code changes needed.
Related Comparisons
Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.