Amazon Nova Micro vs DeepSeek R1 Distill 32B

Compare Amazon Nova Micro and DeepSeek R1 Distill 32B: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

All Amazon models All DeepSeek models What is an LLM API? Python Quickstart What is inference?
Feature Amazon Nova Micro DeepSeek R1 Distill 32B
CategoryCompactReasoning
Parameters~8B32B
Context Window128K128K
Input Price$0.001/1M tokens$0.03/1M tokens
Output Price$0.004/1M tokens$0.06/1M tokens
Latency~50ms~250ms

Choose Amazon Nova Micro when:

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

Cheapest inference, Ultra-fast, Text-only

Choose DeepSeek R1 Distill 32B when:

  • ✓ Production reasoning
  • ✓ Analysis
  • ✓ Structured tasks
Key Strengths:

Good reasoning, Moderate cost, Fast

Verdict: Amazon Nova Micro vs DeepSeek R1 Distill 32B

For cost efficiency, Amazon Nova Micro wins at $0.001/1M input tokens. For speed, DeepSeek R1 Distill 32B is faster at ~250ms. Amazon Nova Micro excels at Classification while DeepSeek R1 Distill 32B is better for Production reasoning. 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 R1 Distill 32B costs $0.03 input and $0.06 output. Amazon Nova Micro is 30.0x 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 R1 Distill 32B offers 128K context at ~250ms. Both have identical context windows.

Best For

Amazon Nova Micro (Compact) is optimized for: Classification, Intent detection, Preprocessing. DeepSeek R1 Distill 32B (Reasoning) works best for: Production reasoning, Analysis, Structured tasks.

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 R1 Distill 32B
response_b = client.chat.completions.create(
    model="deepseek-r1-distill-32b",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, Amazon Nova Micro or DeepSeek R1 Distill 32B?

Amazon Nova Micro (Compact, ~8B) offers Cheapest inference. DeepSeek R1 Distill 32B (Reasoning, 32B) offers Good reasoning. Choose Amazon Nova Micro for Classification or DeepSeek R1 Distill 32B for Production reasoning.

How much does Amazon Nova Micro cost vs DeepSeek R1 Distill 32B?

Amazon Nova Micro: $0.001/1M input, $0.004/1M output. DeepSeek R1 Distill 32B: $0.03/1M input, $0.06/1M 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 R1 Distill 32B 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.