DeepSeek V3 vs Amazon Nova Pro
Compare DeepSeek V3 and Amazon Nova Pro: 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 | DeepSeek V3 | Amazon Nova Pro |
|---|---|---|
| Category | Open Source | Frontier |
| Parameters | 671B (37B active) | ~300B |
| Context Window | 128K | 300K |
| Input Price | $0.05/1M tokens | $0.008/1M tokens |
| Output Price | $0.09/1M tokens | $0.032/1M tokens |
| Latency | ~400ms | ~300ms |
Choose DeepSeek V3 when:
- ✓ API response generation
- ✓ High-volume processing
- ✓ Code
MoE efficiency, Strong coding, Good structured output
Choose Amazon Nova Pro when:
- ✓ Budget apps
- ✓ Document analysis
- ✓ Enterprise
Very low cost, 300K context, Multimodal
Verdict: DeepSeek V3 vs Amazon Nova Pro
For cost efficiency, Amazon Nova Pro wins at $0.008/1M input tokens. For speed, Amazon Nova Pro is faster at ~300ms. DeepSeek V3 excels at API response generation while Amazon Nova Pro is better for Budget apps. 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 V3 costs $0.05/1M input tokens and $0.09/1M output tokens. Amazon Nova Pro costs $0.008 input and $0.032 output. Amazon Nova Pro is 6.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
DeepSeek V3 has a 128K context window with ~400ms latency. Amazon Nova Pro offers 300K context at ~300ms. Amazon Nova Pro has the larger context window.
Best For
DeepSeek V3 (Open Source) is optimized for: API response generation, High-volume processing, Code. Amazon Nova Pro (Frontier) works best for: Budget apps, Document analysis, Enterprise.
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 V3
response_a = client.chat.completions.create(
model="deepseek-v3",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Amazon Nova Pro
response_b = client.chat.completions.create(
model="amazon-nova-pro",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, DeepSeek V3 or Amazon Nova Pro?
DeepSeek V3 (Open Source, 671B (37B active)) offers MoE efficiency. Amazon Nova Pro (Frontier, ~300B) offers Very low cost. Choose DeepSeek V3 for API response generation or Amazon Nova Pro for Budget apps.
How much does DeepSeek V3 cost vs Amazon Nova Pro?
DeepSeek V3: $0.05/1M input, $0.09/1M output. Amazon Nova Pro: $0.008/1M input, $0.032/1M 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 V3 and Amazon Nova Pro 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.