Vedika Fast vs ElevenLabs Turbo v2.5
Compare Vedika Fast and ElevenLabs Turbo v2.5: 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 | ElevenLabs Turbo v2.5 |
|---|---|---|
| Category | Domain Specialist | Speech |
| Parameters | 8B | Generative |
| Context Window | 32K | N/A |
| Input Price | $0.04/1M tokens | $0.02/1K/1M tokens |
| Output Price | $0.06/1M tokens | N/A/1M tokens |
| Latency | ~120ms | ~200ms |
Choose Vedika Fast when:
- ✓ Voice astrology bots
- ✓ Real-time chatbots
- ✓ Temple kiosks
Sub-200ms latency, Voice-optimized, Real-time chat
Choose ElevenLabs Turbo v2.5 when:
- ✓ Premium voice apps
- ✓ Audiobooks
- ✓ Podcast generation
Most natural voices, Emotion control, 32 languages
Verdict: Vedika Fast vs ElevenLabs Turbo v2.5
For cost efficiency, ElevenLabs Turbo v2.5 wins at $0.02/1K/1M input tokens. For speed, Vedika Fast is faster at ~120ms. Vedika Fast excels at Voice astrology bots while ElevenLabs Turbo v2.5 is better for Premium voice apps. 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. ElevenLabs Turbo v2.5 costs $0.02/1K input and N/A output. ElevenLabs Turbo v2.5 is 1.9x 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. ElevenLabs Turbo v2.5 offers N/A context at ~200ms. Vedika Fast has the larger context window.
Best For
Vedika Fast (Domain Specialist) is optimized for: Voice astrology bots, Real-time chatbots, Temple kiosks. ElevenLabs Turbo v2.5 (Speech) works best for: Premium voice apps, Audiobooks, Podcast 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 Fast
response_a = client.chat.completions.create(
model="vedika-fast",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use ElevenLabs Turbo v2.5
response_b = client.chat.completions.create(
model="elevenlabs-turbo-v2-5",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Vedika Fast or ElevenLabs Turbo v2.5?
Vedika Fast (Domain Specialist, 8B) offers Sub-200ms latency. ElevenLabs Turbo v2.5 (Speech, Generative) offers Most natural voices. Choose Vedika Fast for Voice astrology bots or ElevenLabs Turbo v2.5 for Premium voice apps.
How much does Vedika Fast cost vs ElevenLabs Turbo v2.5?
Vedika Fast: $0.04/1M input, $0.06/1M output. ElevenLabs Turbo v2.5: $0.02/1K/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 Fast and ElevenLabs Turbo v2.5 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.