Vedika Pro Ultra vs Codestral
Compare Vedika Pro Ultra and Codestral: 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 | Codestral |
|---|---|---|
| Category | Domain Specialist | Code |
| Parameters | 120B | 22B |
| Context Window | 256K | 256K |
| Input Price | $0.12/1M tokens | $0.03/1M tokens |
| Output Price | $0.20/1M tokens | $0.05/1M 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 Codestral when:
- ✓ API integration code
- ✓ SDK generation
- ✓ Code review
256K context for code, Strong code generation, Good APIs
Verdict: Vedika Pro Ultra vs Codestral
For cost efficiency, Codestral wins at $0.03/1M input tokens. For speed, Codestral is faster at ~200ms. Vedika Pro Ultra excels at Kundali matching reports while Codestral is better for API integration code. 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. Codestral costs $0.03 input and $0.05 output. Codestral is 4.0x 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. Codestral offers 256K context at ~200ms. Both have identical context windows.
Best For
Vedika Pro Ultra (Domain Specialist) is optimized for: Kundali matching reports, Multi-chart analysis, Enterprise platforms. Codestral (Code) works best for: API integration code, SDK generation, Code review.
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 Codestral
response_b = client.chat.completions.create(
model="codestral",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Vedika Pro Ultra or Codestral?
Vedika Pro Ultra (Domain Specialist, 120B) offers 256K context. Codestral (Code, 22B) offers 256K context for code. Choose Vedika Pro Ultra for Kundali matching reports or Codestral for API integration code.
How much does Vedika Pro Ultra cost vs Codestral?
Vedika Pro Ultra: $0.12/1M input, $0.20/1M output. Codestral: $0.03/1M input, $0.05/1M 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 Codestral 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.