Vedika Fast vs Claude Opus 4
Compare Vedika Fast and Claude Opus 4: 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 | Claude Opus 4 |
|---|---|---|
| Category | Domain Specialist | Frontier |
| Parameters | 8B | ~2T |
| Context Window | 32K | 200K |
| Input Price | $0.04/1M tokens | $0.15/1M tokens |
| Output Price | $0.06/1M tokens | $0.75/1M tokens |
| Latency | ~120ms | ~800ms |
Choose Vedika Fast when:
- ✓ Voice astrology bots
- ✓ Real-time chatbots
- ✓ Temple kiosks
Sub-200ms latency, Voice-optimized, Real-time chat
Choose Claude Opus 4 when:
- ✓ Complex counseling
- ✓ Detailed chart analysis
- ✓ Enterprise reports
Deepest reasoning, Exceptional nuance, Best complex analysis
Verdict: Vedika Fast vs Claude Opus 4
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 Claude Opus 4 is better for Complex counseling. 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. Claude Opus 4 costs $0.15 input and $0.75 output. Vedika Fast is 3.8x 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. Claude Opus 4 offers 200K context at ~800ms. Claude Opus 4 has the larger context window.
Best For
Vedika Fast (Domain Specialist) is optimized for: Voice astrology bots, Real-time chatbots, Temple kiosks. Claude Opus 4 (Frontier) works best for: Complex counseling, Detailed chart analysis, Enterprise reports.
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 Claude Opus 4
response_b = client.chat.completions.create(
model="claude-opus-4",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Vedika Fast or Claude Opus 4?
Vedika Fast (Domain Specialist, 8B) offers Sub-200ms latency. Claude Opus 4 (Frontier, ~2T) offers Deepest reasoning. Choose Vedika Fast for Voice astrology bots or Claude Opus 4 for Complex counseling.
How much does Vedika Fast cost vs Claude Opus 4?
Vedika Fast: $0.04/1M input, $0.06/1M output. Claude Opus 4: $0.15/1M input, $0.75/1M 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 Claude Opus 4 by changing the model parameter. No code changes needed.
Related Comparisons
Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.