Vedika Fast vs Vedika Vision
Compare Vedika Fast and Vedika Vision: 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 Fast | Vedika Vision |
|---|---|---|
| Category | Domain Specialist | Vision |
| Parameters | 8B | 26B |
| Context Window | 32K | 32K |
| Input Price | $0.04/1M tokens | $0.08/1M tokens |
| Output Price | $0.06/1M tokens | $0.12/1M tokens |
| Latency | ~120ms | ~500ms |
Choose Vedika Fast when:
- ✓ Voice astrology bots
- ✓ Real-time chatbots
- ✓ Temple kiosks
Sub-200ms latency, Voice-optimized, Real-time chat
Choose Vedika Vision when:
- ✓ Chart image analysis
- ✓ Temple photo description
- ✓ Vastu photo analysis
Chart image analysis, Yantra recognition, Sacred geometry
Verdict: Vedika Fast vs Vedika Vision
For cost efficiency, Vedika Fast wins at $0.04/1M input tokens. For speed, Vedika Fast is faster at ~120ms. Vedika Fast excels at Voice astrology bots while Vedika Vision is better for Chart image analysis. 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 Fast costs $0.04/1M input tokens and $0.06/1M output tokens. Vedika Vision costs $0.08 input and $0.12 output. Vedika Fast is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Vedika Fast has a 32K context window with ~120ms latency. Vedika Vision offers 32K context at ~500ms. Both have identical context windows.
Best For
Vedika Fast (Domain Specialist) is optimized for: Voice astrology bots, Real-time chatbots, Temple kiosks. Vedika Vision (Vision) works best for: Chart image analysis, Temple photo description, Vastu photo analysis.
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 Fast
response_a = client.chat.completions.create(
model="vedika-fast",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Vedika Vision
response_b = client.chat.completions.create(
model="vedika-vision",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Vedika Fast or Vedika Vision?
Vedika Fast (Domain Specialist, 8B) offers Sub-200ms latency. Vedika Vision (Vision, 26B) offers Chart image analysis. Choose Vedika Fast for Voice astrology bots or Vedika Vision for Chart image analysis.
How much does Vedika Fast cost vs Vedika Vision?
Vedika Fast: $0.04/1M input, $0.06/1M output. Vedika Vision: $0.08/1M input, $0.12/1M 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 Fast and Vedika Vision 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.