Vedika Pro Ultra vs Pixtral 12B
Compare Vedika Pro Ultra and Pixtral 12B: 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 | Pixtral 12B |
|---|---|---|
| Category | Domain Specialist | Vision |
| Parameters | 120B | 12B |
| Context Window | 256K | 128K |
| Input Price | $0.12/1M tokens | $0.02/1M tokens |
| Output Price | $0.20/1M tokens | $0.04/1M tokens |
| Latency | ~600ms | ~200ms |
Choose Vedika Pro Ultra when:
- ✓ Kundali matching reports
- ✓ Multi-chart analysis
- ✓ Enterprise platforms
256K context, Deep yoga reasoning, Multi-system comparison
Choose Pixtral 12B when:
- ✓ Simple image tasks
- ✓ Classification
- ✓ OCR
Low cost vision, Fast, Compact
Verdict: Vedika Pro Ultra vs Pixtral 12B
For cost efficiency, Pixtral 12B wins at $0.02/1M input tokens. For speed, Pixtral 12B is faster at ~200ms. Vedika Pro Ultra excels at Kundali matching reports while Pixtral 12B is better for Simple image tasks. 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. Pixtral 12B costs $0.02 input and $0.04 output. Pixtral 12B is 6.0x 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. Pixtral 12B offers 128K context at ~200ms. 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. Pixtral 12B (Vision) works best for: Simple image tasks, Classification, OCR.
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 Pixtral 12B
response_b = client.chat.completions.create(
model="pixtral-12b",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Vedika Pro Ultra or Pixtral 12B?
Vedika Pro Ultra (Domain Specialist, 120B) offers 256K context. Pixtral 12B (Vision, 12B) offers Low cost vision. Choose Vedika Pro Ultra for Kundali matching reports or Pixtral 12B for Simple image tasks.
How much does Vedika Pro Ultra cost vs Pixtral 12B?
Vedika Pro Ultra: $0.12/1M input, $0.20/1M output. Pixtral 12B: $0.02/1M 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 Pixtral 12B 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.