DeepSeek R1 vs Amazon Nova Lite

Compare DeepSeek R1 and Amazon Nova Lite: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

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

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Feature DeepSeek R1 Amazon Nova Lite
CategoryReasoningCompact
Parameters671B~40B
Context Window128K300K
Input Price$0.08/1M tokens$0.003/1M tokens
Output Price$0.15/1M tokens$0.012/1M tokens
Latency~800ms~150ms

Choose DeepSeek R1 when:

  • ✓ Complex yoga calculations
  • ✓ Dasha analysis
  • ✓ Research-grade analysis
Key Strengths:

Chain-of-thought, Complex calculations, Transparent thinking

Choose Amazon Nova Lite when:

  • ✓ Budget multimodal
  • ✓ High-volume
  • ✓ Simple tasks
Key Strengths:

Ultra-low cost, 300K context, Fast

Verdict: DeepSeek R1 vs Amazon Nova Lite

For cost efficiency, Amazon Nova Lite wins at $0.003/1M input tokens. For speed, Amazon Nova Lite is faster at ~150ms. DeepSeek R1 excels at Complex yoga calculations while Amazon Nova Lite is better for Budget multimodal. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

DeepSeek R1 costs $0.08/1M input tokens and $0.15/1M output tokens. Amazon Nova Lite costs $0.003 input and $0.012 output. Amazon Nova Lite is 26.7x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

DeepSeek R1 has a 128K context window with ~800ms latency. Amazon Nova Lite offers 300K context at ~150ms. Amazon Nova Lite has the larger context window.

Best For

DeepSeek R1 (Reasoning) is optimized for: Complex yoga calculations, Dasha analysis, Research-grade analysis. Amazon Nova Lite (Compact) works best for: Budget multimodal, High-volume, Simple 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 DeepSeek R1
response_a = client.chat.completions.create(
    model="deepseek-r1",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Amazon Nova Lite
response_b = client.chat.completions.create(
    model="amazon-nova-lite",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, DeepSeek R1 or Amazon Nova Lite?

DeepSeek R1 (Reasoning, 671B) offers Chain-of-thought. Amazon Nova Lite (Compact, ~40B) offers Ultra-low cost. Choose DeepSeek R1 for Complex yoga calculations or Amazon Nova Lite for Budget multimodal.

How much does DeepSeek R1 cost vs Amazon Nova Lite?

DeepSeek R1: $0.08/1M input, $0.15/1M output. Amazon Nova Lite: $0.003/1M input, $0.012/1M 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 DeepSeek R1 and Amazon Nova Lite 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.