Vedika Pro Ultra vs Mistral Small 3.1
Compare Vedika Pro Ultra and Mistral Small 3.1: 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 | Mistral Small 3.1 |
|---|---|---|
| Category | Domain Specialist | Compact |
| Parameters | 120B | 24B |
| 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 | ~120ms |
Choose Vedika Pro Ultra when:
- ✓ Kundali matching reports
- ✓ Multi-chart analysis
- ✓ Enterprise platforms
256K context, Deep yoga reasoning, Multi-system comparison
Choose Mistral Small 3.1 when:
- ✓ Lightweight tasks
- ✓ Classification
- ✓ Simple generation
128K context, Low cost, Fast
Verdict: Vedika Pro Ultra vs Mistral Small 3.1
For cost efficiency, Mistral Small 3.1 wins at $0.02/1M input tokens. For speed, Mistral Small 3.1 is faster at ~120ms. Vedika Pro Ultra excels at Kundali matching reports while Mistral Small 3.1 is better for Lightweight 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. Mistral Small 3.1 costs $0.02 input and $0.04 output. Mistral Small 3.1 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. Mistral Small 3.1 offers 128K context at ~120ms. 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. Mistral Small 3.1 (Compact) works best for: Lightweight tasks, Classification, Simple generation.
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 Mistral Small 3.1
response_b = client.chat.completions.create(
model="mistral-small-3-1",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Vedika Pro Ultra or Mistral Small 3.1?
Vedika Pro Ultra (Domain Specialist, 120B) offers 256K context. Mistral Small 3.1 (Compact, 24B) offers 128K context. Choose Vedika Pro Ultra for Kundali matching reports or Mistral Small 3.1 for Lightweight tasks.
How much does Vedika Pro Ultra cost vs Mistral Small 3.1?
Vedika Pro Ultra: $0.12/1M input, $0.20/1M output. Mistral Small 3.1: $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 Mistral Small 3.1 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.