Vedika Standard vs StarCoder2 15B
Compare Vedika Standard 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 Standard | StarCoder2 15B |
|---|---|---|
| Category | Domain Specialist | Code |
| Parameters | 120B | 15B |
| Context Window | 128K | 16K |
| Input Price | $0.06/1M tokens | $0.02/1M tokens |
| Output Price | $0.10/1M tokens | $0.03/1M tokens |
| Latency | ~400ms | ~150ms |
Choose Vedika Standard when:
- ✓ Astrology chatbots
- ✓ Temple content
- ✓ Devotional Q&A
14 Indian languages native, 131 computed yogas, Classical text citations
Choose StarCoder2 15B when:
- ✓ Code completion
- ✓ Code generation
- ✓ Bug fixing
Strong coding, 600+ languages, Open weights
Verdict: Vedika Standard vs StarCoder2 15B
For cost efficiency, StarCoder2 15B wins at $0.02/1M input tokens. For speed, StarCoder2 15B is faster at ~150ms. Vedika Standard excels at Astrology chatbots 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 Standard costs $0.06/1M input tokens and $0.10/1M output tokens. StarCoder2 15B costs $0.02 input and $0.03 output. StarCoder2 15B is 3.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Vedika Standard has a 128K context window with ~400ms latency. StarCoder2 15B offers 16K context at ~150ms. Vedika Standard has the larger context window.
Best For
Vedika Standard (Domain Specialist) is optimized for: Astrology chatbots, Temple content, Devotional Q&A. 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 Standard
response_a = client.chat.completions.create(
model="vedika-standard",
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 Standard or StarCoder2 15B?
Vedika Standard (Domain Specialist, 120B) offers 14 Indian languages native. StarCoder2 15B (Code, 15B) offers Strong coding. Choose Vedika Standard for Astrology chatbots or StarCoder2 15B for Code completion.
How much does Vedika Standard cost vs StarCoder2 15B?
Vedika Standard: $0.06/1M input, $0.10/1M 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 Standard 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.