Vedika Fast vs StarCoder2 15B
Compare Vedika Fast and StarCoder2 15B: 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 | StarCoder2 15B |
|---|---|---|
| Category | Domain Specialist | Code |
| Parameters | 8B | 15B |
| Context Window | 32K | 16K |
| Input Price | $0.04/1M tokens | $0.02/1M tokens |
| Output Price | $0.06/1M tokens | $0.03/1M tokens |
| Latency | ~120ms | ~150ms |
Choose Vedika Fast when:
- ✓ Voice astrology bots
- ✓ Real-time chatbots
- ✓ Temple kiosks
Sub-200ms latency, Voice-optimized, Real-time chat
Choose StarCoder2 15B when:
- ✓ Code completion
- ✓ Code generation
- ✓ Bug fixing
Strong coding, 600+ languages, Open weights
Verdict: Vedika Fast vs StarCoder2 15B
For cost efficiency, StarCoder2 15B wins at $0.02/1M input tokens. For speed, Vedika Fast is faster at ~120ms. Vedika Fast excels at Voice astrology bots while StarCoder2 15B is better for Code completion. 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. StarCoder2 15B costs $0.02 input and $0.03 output. StarCoder2 15B 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. StarCoder2 15B offers 16K context at ~150ms. Vedika Fast has the larger context window.
Best For
Vedika Fast (Domain Specialist) is optimized for: Voice astrology bots, Real-time chatbots, Temple kiosks. StarCoder2 15B (Code) works best for: Code completion, Code generation, Bug fixing.
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 StarCoder2 15B
response_b = client.chat.completions.create(
model="starcoder2-15b",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, Vedika Fast or StarCoder2 15B?
Vedika Fast (Domain Specialist, 8B) offers Sub-200ms latency. StarCoder2 15B (Code, 15B) offers Strong coding. Choose Vedika Fast for Voice astrology bots or StarCoder2 15B for Code completion.
How much does Vedika Fast cost vs StarCoder2 15B?
Vedika Fast: $0.04/1M input, $0.06/1M output. StarCoder2 15B: $0.02/1M input, $0.03/1M 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 StarCoder2 15B 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.