Vedika Pro Ultra vs FLUX 1.1 Pro Ultra
Compare Vedika Pro Ultra and FLUX 1.1 Pro Ultra: 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 | FLUX 1.1 Pro Ultra |
|---|---|---|
| Category | Domain Specialist | Image |
| Parameters | 120B | ~30B |
| Context Window | 256K | N/A |
| Input Price | $0.12/1M tokens | $0.06/image/1M tokens |
| Output Price | $0.20/1M tokens | N/A/1M tokens |
| Latency | ~600ms | ~6s |
Choose Vedika Pro Ultra when:
- ✓ Kundali matching reports
- ✓ Multi-chart analysis
- ✓ Enterprise platforms
256K context, Deep yoga reasoning, Multi-system comparison
Choose FLUX 1.1 Pro Ultra when:
- ✓ Print-quality imagery
- ✓ Ultra-HD content
- ✓ Professional art
Ultra quality, 4K output, Best detail
Verdict: Vedika Pro Ultra vs FLUX 1.1 Pro Ultra
For cost efficiency, FLUX 1.1 Pro Ultra wins at $0.06/image/1M input tokens. For speed, Vedika Pro Ultra is faster at ~600ms. Vedika Pro Ultra excels at Kundali matching reports while FLUX 1.1 Pro Ultra is better for Print-quality imagery. 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. FLUX 1.1 Pro Ultra costs $0.06/image input and N/A output. FLUX 1.1 Pro Ultra is 2.0x 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. FLUX 1.1 Pro Ultra offers N/A context at ~6s. 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. FLUX 1.1 Pro Ultra (Image) works best for: Print-quality imagery, Ultra-HD content, Professional art.
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 FLUX 1.1 Pro Ultra
response_b = client.chat.completions.create(
model="flux-1-1-pro-ultra",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Vedika Pro Ultra or FLUX 1.1 Pro Ultra?
Vedika Pro Ultra (Domain Specialist, 120B) offers 256K context. FLUX 1.1 Pro Ultra (Image, ~30B) offers Ultra quality. Choose Vedika Pro Ultra for Kundali matching reports or FLUX 1.1 Pro Ultra for Print-quality imagery.
How much does Vedika Pro Ultra cost vs FLUX 1.1 Pro Ultra?
Vedika Pro Ultra: $0.12/1M input, $0.20/1M output. FLUX 1.1 Pro Ultra: $0.06/image/1M input, N/A/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 FLUX 1.1 Pro Ultra 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.