Amazon Nova Micro vs DeepSeek V2.5
Compare Amazon Nova Micro 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 Micro | DeepSeek V2.5 |
|---|---|---|
| Category | Compact | Open Source |
| Parameters | ~8B | 236B (21B active) |
| Context Window | 128K | 128K |
| Input Price | $0.001/1M tokens | $0.04/1M tokens |
| Output Price | $0.004/1M tokens | $0.07/1M tokens |
| Latency | ~50ms | ~350ms |
Choose Amazon Nova Micro when:
- ✓ Classification
- ✓ Intent detection
- ✓ Preprocessing
Cheapest inference, Ultra-fast, Text-only
Choose DeepSeek V2.5 when:
- ✓ General purpose
- ✓ Code generation
- ✓ Legacy apps
Proven model, MoE efficient, Good coding
Verdict: Amazon Nova Micro vs DeepSeek V2.5
For cost efficiency, Amazon Nova Micro wins at $0.001/1M input tokens. For speed, DeepSeek V2.5 is faster at ~350ms. Amazon Nova Micro excels at Classification 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 Micro costs $0.001/1M input tokens and $0.004/1M output tokens. DeepSeek V2.5 costs $0.04 input and $0.07 output. Amazon Nova Micro is 40.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Amazon Nova Micro has a 128K context window with ~50ms latency. DeepSeek V2.5 offers 128K context at ~350ms. Both have identical context windows.
Best For
Amazon Nova Micro (Compact) is optimized for: Classification, Intent detection, Preprocessing. 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 Micro
response_a = client.chat.completions.create(
model="amazon-nova-micro",
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 Micro or DeepSeek V2.5?
Amazon Nova Micro (Compact, ~8B) offers Cheapest inference. DeepSeek V2.5 (Open Source, 236B (21B active)) offers Proven model. Choose Amazon Nova Micro for Classification or DeepSeek V2.5 for General purpose.
How much does Amazon Nova Micro cost vs DeepSeek V2.5?
Amazon Nova Micro: $0.001/1M input, $0.004/1M 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 Micro 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.