Jina Embeddings v3 vs IBM Granite 3.1 8B

Compare Jina Embeddings v3 and IBM Granite 3.1 8B: 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 Jina Embeddings v3 IBM Granite 3.1 8B
CategoryEmbeddingEnterprise
Parameters~300M8B
Context Window8K128K
Input Price$0.002/1M tokens$0.01/1M tokens
Output PriceN/A/1M tokens$0.02/1M tokens
Latency~15ms~80ms

Choose Jina Embeddings v3 when:

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

Strong multilingual, Good for RAG, Flexible dimensions

Choose IBM Granite 3.1 8B when:

  • ✓ Regulated industries
  • ✓ Enterprise compliance
  • ✓ IBM ecosystem
Key Strengths:

Enterprise compliance, IP indemnification, 128K context

Verdict: Jina Embeddings v3 vs IBM Granite 3.1 8B

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 IBM Granite 3.1 8B is better for Regulated industries. 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. IBM Granite 3.1 8B costs $0.01 input and $0.02 output. Jina Embeddings v3 is 5.0x 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. IBM Granite 3.1 8B offers 128K context at ~80ms. IBM Granite 3.1 8B has the larger context window.

Best For

Jina Embeddings v3 (Embedding) is optimized for: Multilingual search, Cross-language RAG, Semantic matching. IBM Granite 3.1 8B (Enterprise) works best for: Regulated industries, Enterprise compliance, IBM ecosystem.

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 IBM Granite 3.1 8B
response_b = client.chat.completions.create(
    model="granite-3-1-8b",
    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 IBM Granite 3.1 8B?

Jina Embeddings v3 (Embedding, ~300M) offers Strong multilingual. IBM Granite 3.1 8B (Enterprise, 8B) offers Enterprise compliance. Choose Jina Embeddings v3 for Multilingual search or IBM Granite 3.1 8B for Regulated industries.

How much does Jina Embeddings v3 cost vs IBM Granite 3.1 8B?

Jina Embeddings v3: $0.002/1M input, N/A/1M output. IBM Granite 3.1 8B: $0.01/1M input, $0.02/1M 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 IBM Granite 3.1 8B 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.