Amazon Nova Pro vs DeepSeek V2.5
Compare Amazon Nova Pro and DeepSeek V2.5: 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 | Amazon Nova Pro | DeepSeek V2.5 |
|---|---|---|
| Category | Frontier | Open Source |
| Parameters | ~300B | 236B (21B active) |
| Context Window | 300K | 128K |
| Input Price | $0.008/1M tokens | $0.04/1M tokens |
| Output Price | $0.032/1M tokens | $0.07/1M tokens |
| Latency | ~300ms | ~350ms |
Choose Amazon Nova Pro when:
- ✓ Budget apps
- ✓ Document analysis
- ✓ Enterprise
Very low cost, 300K context, Multimodal
Choose DeepSeek V2.5 when:
- ✓ General purpose
- ✓ Code generation
- ✓ Legacy apps
Proven model, MoE efficient, Good coding
Verdict: Amazon Nova Pro vs DeepSeek V2.5
For cost efficiency, Amazon Nova Pro wins at $0.008/1M input tokens. For speed, Amazon Nova Pro is faster at ~300ms. Amazon Nova Pro excels at Budget apps while DeepSeek V2.5 is better for General purpose. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
Amazon Nova Pro costs $0.008/1M input tokens and $0.032/1M output tokens. DeepSeek V2.5 costs $0.04 input and $0.07 output. Amazon Nova Pro is 5.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Amazon Nova Pro has a 300K context window with ~300ms latency. DeepSeek V2.5 offers 128K context at ~350ms. Amazon Nova Pro has the larger context window.
Best For
Amazon Nova Pro (Frontier) is optimized for: Budget apps, Document analysis, Enterprise. DeepSeek V2.5 (Open Source) works best for: General purpose, Code generation, Legacy apps.
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 Amazon Nova Pro
response_a = client.chat.completions.create(
model="amazon-nova-pro",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use DeepSeek V2.5
response_b = client.chat.completions.create(
model="deepseek-v2-5",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Amazon Nova Pro or DeepSeek V2.5?
Amazon Nova Pro (Frontier, ~300B) offers Very low cost. DeepSeek V2.5 (Open Source, 236B (21B active)) offers Proven model. Choose Amazon Nova Pro for Budget apps or DeepSeek V2.5 for General purpose.
How much does Amazon Nova Pro cost vs DeepSeek V2.5?
Amazon Nova Pro: $0.008/1M input, $0.032/1M output. DeepSeek V2.5: $0.04/1M input, $0.07/1M 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 Amazon Nova Pro and DeepSeek V2.5 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.