Amazon Nova Lite vs DeepSeek V2.5
Compare Amazon Nova Lite 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 Lite | DeepSeek V2.5 |
|---|---|---|
| Category | Compact | Open Source |
| Parameters | ~40B | 236B (21B active) |
| Context Window | 300K | 128K |
| Input Price | $0.003/1M tokens | $0.04/1M tokens |
| Output Price | $0.012/1M tokens | $0.07/1M tokens |
| Latency | ~150ms | ~350ms |
Choose Amazon Nova Lite when:
- ✓ Budget multimodal
- ✓ High-volume
- ✓ Simple tasks
Ultra-low cost, 300K context, Fast
Choose DeepSeek V2.5 when:
- ✓ General purpose
- ✓ Code generation
- ✓ Legacy apps
Proven model, MoE efficient, Good coding
Verdict: Amazon Nova Lite vs DeepSeek V2.5
For cost efficiency, Amazon Nova Lite wins at $0.003/1M input tokens. For speed, Amazon Nova Lite is faster at ~150ms. Amazon Nova Lite excels at Budget multimodal 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 Lite costs $0.003/1M input tokens and $0.012/1M output tokens. DeepSeek V2.5 costs $0.04 input and $0.07 output. Amazon Nova Lite is 13.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Amazon Nova Lite has a 300K context window with ~150ms latency. DeepSeek V2.5 offers 128K context at ~350ms. Amazon Nova Lite has the larger context window.
Best For
Amazon Nova Lite (Compact) is optimized for: Budget multimodal, High-volume, Simple tasks. 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 Lite
response_a = client.chat.completions.create(
model="amazon-nova-lite",
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 Lite or DeepSeek V2.5?
Amazon Nova Lite (Compact, ~40B) offers Ultra-low cost. DeepSeek V2.5 (Open Source, 236B (21B active)) offers Proven model. Choose Amazon Nova Lite for Budget multimodal or DeepSeek V2.5 for General purpose.
How much does Amazon Nova Lite cost vs DeepSeek V2.5?
Amazon Nova Lite: $0.003/1M input, $0.012/1M 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 Lite 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.