Text Embedding 3 Large vs Amazon Nova Micro

Compare Text Embedding 3 Large 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

All OpenAI models All Amazon models What is an LLM API? Python Quickstart What is inference?
Feature Text Embedding 3 Large Amazon Nova Micro
CategoryEmbeddingCompact
Parameters~500M~8B
Context Window8K128K
Input Price$0.002/1M tokens$0.001/1M tokens
Output PriceN/A/1M tokens$0.004/1M tokens
Latency~20ms~50ms

Choose Text Embedding 3 Large when:

  • ✓ Semantic search
  • ✓ Knowledge retrieval
  • ✓ Similarity matching
Key Strengths:

3072 dimensions, Superior semantic quality, Matryoshka support

Choose Amazon Nova Micro when:

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

Cheapest inference, Ultra-fast, Text-only

Verdict: Text Embedding 3 Large vs Amazon Nova Micro

For cost efficiency, Amazon Nova Micro wins at $0.001/1M input tokens. For speed, Text Embedding 3 Large is faster at ~20ms. Text Embedding 3 Large excels at Semantic search 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

Text Embedding 3 Large costs $0.002/1M input tokens and N/A/1M output tokens. Amazon Nova Micro costs $0.001 input and $0.004 output. Amazon Nova Micro is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Text Embedding 3 Large has a 8K context window with ~20ms latency. Amazon Nova Micro offers 128K context at ~50ms. Amazon Nova Micro has the larger context window.

Best For

Text Embedding 3 Large (Embedding) is optimized for: Semantic search, Knowledge retrieval, Similarity matching. 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 Text Embedding 3 Large
response_a = client.chat.completions.create(
    model="text-embedding-3-large",
    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"}]
)

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, Text Embedding 3 Large or Amazon Nova Micro?

Text Embedding 3 Large (Embedding, ~500M) offers 3072 dimensions. Amazon Nova Micro (Compact, ~8B) offers Cheapest inference. Choose Text Embedding 3 Large for Semantic search or Amazon Nova Micro for Classification.

How much does Text Embedding 3 Large cost vs Amazon Nova Micro?

Text Embedding 3 Large: $0.002/1M input, N/A/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 Text Embedding 3 Large and Amazon Nova Micro by changing the model parameter. No code changes needed.

Related Comparisons

Text Embedding 3 Large vs GPT-4.1 Nano Text Embedding 3 Large vs GPT-4o Mini Text Embedding 3 Large vs Claude Haiku 3.5 Text Embedding 3 Large vs Gemma 3 12B Text Embedding 3 Large vs Gemma 3 4B Text Embedding 3 Large vs Gemini 2.5 Flash Lite

Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.