Vedika Vision vs DeepSeek R1 0528

Compare Vedika Vision 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

All DeepSeek models What is an LLM API? Python Quickstart What is inference?
Feature Vedika Vision DeepSeek R1 0528
CategoryVisionReasoning
Parameters26B671B
Context Window32K128K
Input Price$0.08/1M tokens$0.08/1M tokens
Output Price$0.12/1M tokens$0.15/1M tokens
Latency~500ms~800ms

Choose Vedika Vision when:

  • ✓ Chart image analysis
  • ✓ Temple photo description
  • ✓ Vastu photo analysis
Key Strengths:

Chart image analysis, Yantra recognition, Sacred geometry

Choose DeepSeek R1 0528 when:

  • ✓ Calculation verification
  • ✓ Classical text analysis
  • ✓ Quality-critical
Key Strengths:

Improved accuracy, Reduced hallucination, Strong math

Verdict: Vedika Vision vs DeepSeek R1 0528

For cost efficiency, DeepSeek R1 0528 wins at $0.08/1M input tokens. For speed, Vedika Vision is faster at ~500ms. Vedika Vision excels at Chart image analysis 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 Vision costs $0.08/1M input tokens and $0.12/1M output tokens. DeepSeek R1 0528 costs $0.08 input and $0.15 output. Both models are similarly priced. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Vedika Vision has a 32K context window with ~500ms latency. DeepSeek R1 0528 offers 128K context at ~800ms. DeepSeek R1 0528 has the larger context window.

Best For

Vedika Vision (Vision) is optimized for: Chart image analysis, Temple photo description, Vastu photo analysis. 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 Vision
response_a = client.chat.completions.create(
    model="vedika-vision",
    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"}]
)

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 Vision or DeepSeek R1 0528?

Vedika Vision (Vision, 26B) offers Chart image analysis. DeepSeek R1 0528 (Reasoning, 671B) offers Improved accuracy. Choose Vedika Vision for Chart image analysis or DeepSeek R1 0528 for Calculation verification.

How much does Vedika Vision cost vs DeepSeek R1 0528?

Vedika Vision: $0.08/1M input, $0.12/1M 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 Vision and DeepSeek R1 0528 by changing the model parameter. No code changes needed.

Related Comparisons

Vedika Vision vs o3 Vedika Vision vs o3 Mini Vedika Vision vs o4-mini Vedika Vision vs Llama 3.2 90B Vision Vedika Vision vs Llama 3.2 11B Vision Vedika Vision vs DeepSeek R1

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