Vedika Code vs DeepSeek R1 0528
Compare Vedika Code and DeepSeek R1 0528: 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 Code | DeepSeek R1 0528 |
|---|---|---|
| Category | Code | Reasoning |
| Parameters | 33B | 671B |
| Context Window | 64K | 128K |
| Input Price | $0.04/1M tokens | $0.08/1M tokens |
| Output Price | $0.06/1M tokens | $0.15/1M tokens |
| Latency | ~250ms | ~800ms |
Choose Vedika Code when:
- ✓ API integration code
- ✓ Temple systems
- ✓ SDK examples
Faith-tech code patterns, API integration code, Temple system boilerplate
Choose DeepSeek R1 0528 when:
- ✓ Calculation verification
- ✓ Classical text analysis
- ✓ Quality-critical
Improved accuracy, Reduced hallucination, Strong math
Verdict: Vedika Code vs DeepSeek R1 0528
For cost efficiency, Vedika Code wins at $0.04/1M input tokens. For speed, Vedika Code is faster at ~250ms. Vedika Code excels at API integration code while DeepSeek R1 0528 is better for Calculation verification. 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 Code costs $0.04/1M input tokens and $0.06/1M output tokens. DeepSeek R1 0528 costs $0.08 input and $0.15 output. Vedika Code is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Vedika Code has a 64K context window with ~250ms latency. DeepSeek R1 0528 offers 128K context at ~800ms. DeepSeek R1 0528 has the larger context window.
Best For
Vedika Code (Code) is optimized for: API integration code, Temple systems, SDK examples. DeepSeek R1 0528 (Reasoning) works best for: Calculation verification, Classical text analysis, Quality-critical.
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 Code
response_a = client.chat.completions.create(
model="vedika-code",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use DeepSeek R1 0528
response_b = client.chat.completions.create(
model="deepseek-r1-0528",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, Vedika Code or DeepSeek R1 0528?
Vedika Code (Code, 33B) offers Faith-tech code patterns. DeepSeek R1 0528 (Reasoning, 671B) offers Improved accuracy. Choose Vedika Code for API integration code or DeepSeek R1 0528 for Calculation verification.
How much does Vedika Code cost vs DeepSeek R1 0528?
Vedika Code: $0.04/1M input, $0.06/1M output. DeepSeek R1 0528: $0.08/1M input, $0.15/1M 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 Code and DeepSeek R1 0528 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.