DeepSeek V3 vs Amazon Nova Micro

Compare DeepSeek V3 and Amazon Nova Micro: 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 V3 Amazon Nova Micro
CategoryOpen SourceCompact
Parameters671B (37B active)~8B
Context Window128K128K
Input Price$0.05/1M tokens$0.001/1M tokens
Output Price$0.09/1M tokens$0.004/1M tokens
Latency~400ms~50ms

Choose DeepSeek V3 when:

  • ✓ API response generation
  • ✓ High-volume processing
  • ✓ Code
Key Strengths:

MoE efficiency, Strong coding, Good structured output

Choose Amazon Nova Micro when:

  • ✓ Classification
  • ✓ Intent detection
  • ✓ Preprocessing
Key Strengths:

Cheapest inference, Ultra-fast, Text-only

Verdict: DeepSeek V3 vs Amazon Nova Micro

For cost efficiency, Amazon Nova Micro wins at $0.001/1M input tokens. For speed, DeepSeek V3 is faster at ~400ms. DeepSeek V3 excels at API response generation while Amazon Nova Micro is better for Classification. 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 Micro costs $0.001 input and $0.004 output. Amazon Nova Micro is 50.0x 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 Micro offers 128K context at ~50ms. Both have identical context windows.

Best For

DeepSeek V3 (Open Source) is optimized for: API response generation, High-volume processing, Code. Amazon Nova Micro (Compact) works best for: Classification, Intent detection, Preprocessing.

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 Micro
response_b = client.chat.completions.create(
    model="amazon-nova-micro",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, DeepSeek V3 or Amazon Nova Micro?

DeepSeek V3 (Open Source, 671B (37B active)) offers MoE efficiency. Amazon Nova Micro (Compact, ~8B) offers Cheapest inference. Choose DeepSeek V3 for API response generation or Amazon Nova Micro for Classification.

How much does DeepSeek V3 cost vs Amazon Nova Micro?

DeepSeek V3: $0.05/1M input, $0.09/1M output. Amazon Nova Micro: $0.001/1M input, $0.004/1M 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 Micro 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.