Llama 3.2 11B Vision vs Jina Embeddings v3

Compare Llama 3.2 11B Vision and Jina Embeddings v3: 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 Llama 3.2 11B Vision Jina Embeddings v3
CategoryVisionEmbedding
Parameters11B~300M
Context Window128K8K
Input Price$0.02/1M tokens$0.002/1M tokens
Output Price$0.04/1M tokensN/A/1M tokens
Latency~200ms~15ms

Choose Llama 3.2 11B Vision when:

  • ✓ Image classification
  • ✓ OCR
  • ✓ Simple visual Q&A
Key Strengths:

Low cost vision, Fast, Compact

Choose Jina Embeddings v3 when:

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

Strong multilingual, Good for RAG, Flexible dimensions

Verdict: Llama 3.2 11B Vision vs Jina Embeddings v3

For cost efficiency, Jina Embeddings v3 wins at $0.002/1M input tokens. For speed, Jina Embeddings v3 is faster at ~15ms. Llama 3.2 11B Vision excels at Image classification while Jina Embeddings v3 is better for Multilingual search. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Llama 3.2 11B Vision costs $0.02/1M input tokens and $0.04/1M output tokens. Jina Embeddings v3 costs $0.002 input and N/A output. Jina Embeddings v3 is 10.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.2 11B Vision has a 128K context window with ~200ms latency. Jina Embeddings v3 offers 8K context at ~15ms. Llama 3.2 11B Vision has the larger context window.

Best For

Llama 3.2 11B Vision (Vision) is optimized for: Image classification, OCR, Simple visual Q&A. Jina Embeddings v3 (Embedding) works best for: Multilingual search, Cross-language RAG, Semantic matching.

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 Llama 3.2 11B Vision
response_a = client.chat.completions.create(
    model="llama-3-2-11b-vision",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Jina Embeddings v3
response_b = client.chat.completions.create(
    model="jina-embeddings-v3",
    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, Llama 3.2 11B Vision or Jina Embeddings v3?

Llama 3.2 11B Vision (Vision, 11B) offers Low cost vision. Jina Embeddings v3 (Embedding, ~300M) offers Strong multilingual. Choose Llama 3.2 11B Vision for Image classification or Jina Embeddings v3 for Multilingual search.

How much does Llama 3.2 11B Vision cost vs Jina Embeddings v3?

Llama 3.2 11B Vision: $0.02/1M input, $0.04/1M output. Jina Embeddings v3: $0.002/1M input, N/A/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 Llama 3.2 11B Vision and Jina Embeddings v3 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.