Jina Embeddings v3 vs Amazon Nova Pro

Compare Jina Embeddings v3 and Amazon Nova Pro: 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 Jina AI models All Amazon models What is an LLM API? Python Quickstart What is inference?
Feature Jina Embeddings v3 Amazon Nova Pro
CategoryEmbeddingFrontier
Parameters~300M~300B
Context Window8K300K
Input Price$0.002/1M tokens$0.008/1M tokens
Output PriceN/A/1M tokens$0.032/1M tokens
Latency~15ms~300ms

Choose Jina Embeddings v3 when:

  • ✓ Multilingual search
  • ✓ Cross-language RAG
  • ✓ Semantic matching
Key Strengths:

Strong multilingual, Good for RAG, Flexible dimensions

Choose Amazon Nova Pro when:

  • ✓ Budget apps
  • ✓ Document analysis
  • ✓ Enterprise
Key Strengths:

Very low cost, 300K context, Multimodal

Verdict: Jina Embeddings v3 vs Amazon Nova Pro

For cost efficiency, Jina Embeddings v3 wins at $0.002/1M input tokens. For speed, Jina Embeddings v3 is faster at ~15ms. Jina Embeddings v3 excels at Multilingual search while Amazon Nova Pro is better for Budget apps. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Jina Embeddings v3 costs $0.002/1M input tokens and N/A/1M output tokens. Amazon Nova Pro costs $0.008 input and $0.032 output. Jina Embeddings v3 is 4.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Jina Embeddings v3 has a 8K context window with ~15ms latency. Amazon Nova Pro offers 300K context at ~300ms. Amazon Nova Pro has the larger context window.

Best For

Jina Embeddings v3 (Embedding) is optimized for: Multilingual search, Cross-language RAG, Semantic matching. Amazon Nova Pro (Frontier) works best for: Budget apps, Document analysis, Enterprise.

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 Jina Embeddings v3
response_a = client.chat.completions.create(
    model="jina-embeddings-v3",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Amazon Nova Pro
response_b = client.chat.completions.create(
    model="amazon-nova-pro",
    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, Jina Embeddings v3 or Amazon Nova Pro?

Jina Embeddings v3 (Embedding, ~300M) offers Strong multilingual. Amazon Nova Pro (Frontier, ~300B) offers Very low cost. Choose Jina Embeddings v3 for Multilingual search or Amazon Nova Pro for Budget apps.

How much does Jina Embeddings v3 cost vs Amazon Nova Pro?

Jina Embeddings v3: $0.002/1M input, N/A/1M output. Amazon Nova Pro: $0.008/1M input, $0.032/1M 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 Jina Embeddings v3 and Amazon Nova Pro 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.