Vedika Pro Ultra vs IBM Granite 3.1 2B
Compare Vedika Pro Ultra and IBM Granite 3.1 2B: 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 | IBM Granite 3.1 2B |
|---|---|---|
| Category | Domain Specialist | Compact |
| Parameters | 120B | 2B |
| Context Window | 256K | 128K |
| Input Price | $0.12/1M tokens | $0.004/1M tokens |
| Output Price | $0.20/1M tokens | $0.008/1M tokens |
| Latency | ~600ms | ~30ms |
Choose Vedika Pro Ultra when:
- ✓ Kundali matching reports
- ✓ Multi-chart analysis
- ✓ Enterprise platforms
256K context, Deep yoga reasoning, Multi-system comparison
Choose IBM Granite 3.1 2B when:
- ✓ Edge enterprise
- ✓ Compliance-required
- ✓ Fast classification
Enterprise-grade, Tiny, 128K context
Verdict: Vedika Pro Ultra vs IBM Granite 3.1 2B
For cost efficiency, IBM Granite 3.1 2B wins at $0.004/1M input tokens. For speed, IBM Granite 3.1 2B is faster at ~30ms. Vedika Pro Ultra excels at Kundali matching reports while IBM Granite 3.1 2B is better for Edge enterprise. 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. IBM Granite 3.1 2B costs $0.004 input and $0.008 output. IBM Granite 3.1 2B is 30.0x 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. IBM Granite 3.1 2B offers 128K context at ~30ms. 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. IBM Granite 3.1 2B (Compact) works best for: Edge enterprise, Compliance-required, Fast classification.
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 IBM Granite 3.1 2B
response_b = client.chat.completions.create(
model="granite-3-1-2b",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Vedika Pro Ultra or IBM Granite 3.1 2B?
Vedika Pro Ultra (Domain Specialist, 120B) offers 256K context. IBM Granite 3.1 2B (Compact, 2B) offers Enterprise-grade. Choose Vedika Pro Ultra for Kundali matching reports or IBM Granite 3.1 2B for Edge enterprise.
How much does Vedika Pro Ultra cost vs IBM Granite 3.1 2B?
Vedika Pro Ultra: $0.12/1M input, $0.20/1M output. IBM Granite 3.1 2B: $0.004/1M input, $0.008/1M 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 IBM Granite 3.1 2B 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.