Vedika Code vs DeepSeek R1 Distill 32B

Compare Vedika Code and DeepSeek R1 Distill 32B: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

All DeepSeek models What is an LLM API? Python Quickstart What is inference?
Feature Vedika Code DeepSeek R1 Distill 32B
CategoryCodeReasoning
Parameters33B32B
Context Window64K128K
Input Price$0.04/1M tokens$0.03/1M tokens
Output Price$0.06/1M tokens$0.06/1M tokens
Latency~250ms~250ms

Choose Vedika Code when:

  • ✓ API integration code
  • ✓ Temple systems
  • ✓ SDK examples
Key Strengths:

Faith-tech code patterns, API integration code, Temple system boilerplate

Choose DeepSeek R1 Distill 32B when:

  • ✓ Production reasoning
  • ✓ Analysis
  • ✓ Structured tasks
Key Strengths:

Good reasoning, Moderate cost, Fast

Verdict: Vedika Code vs DeepSeek R1 Distill 32B

For cost efficiency, DeepSeek R1 Distill 32B wins at $0.03/1M input tokens. For speed, DeepSeek R1 Distill 32B is faster at ~250ms. Vedika Code excels at API integration code while DeepSeek R1 Distill 32B is better for Production reasoning. 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 Distill 32B costs $0.03 input and $0.06 output. DeepSeek R1 Distill 32B is 1.3x 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 Distill 32B offers 128K context at ~250ms. DeepSeek R1 Distill 32B has the larger context window.

Best For

Vedika Code (Code) is optimized for: API integration code, Temple systems, SDK examples. DeepSeek R1 Distill 32B (Reasoning) works best for: Production reasoning, Analysis, Structured tasks.

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 Distill 32B
response_b = client.chat.completions.create(
    model="deepseek-r1-distill-32b",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, Vedika Code or DeepSeek R1 Distill 32B?

Vedika Code (Code, 33B) offers Faith-tech code patterns. DeepSeek R1 Distill 32B (Reasoning, 32B) offers Good reasoning. Choose Vedika Code for API integration code or DeepSeek R1 Distill 32B for Production reasoning.

How much does Vedika Code cost vs DeepSeek R1 Distill 32B?

Vedika Code: $0.04/1M input, $0.06/1M output. DeepSeek R1 Distill 32B: $0.03/1M input, $0.06/1M 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 Distill 32B by changing the model parameter. No code changes needed.

Related Comparisons

Vedika Code vs o3 Vedika Code vs o3 Mini Vedika Code vs o4-mini Vedika Code vs DeepSeek R1 Vedika Code vs DeepSeek R1 0528 Vedika Code vs DeepSeek R1 Distill 70B

Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.