Llama 3.2 90B Vision vs Multilingual E5 Large

Compare Llama 3.2 90B Vision and Multilingual E5 Large: 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 90B Vision Multilingual E5 Large
CategoryVisionEmbedding
Parameters90B560M
Context Window128K512
Input Price$0.06/1M tokens$0.001/1M tokens
Output Price$0.10/1M tokensN/A/1M tokens
Latency~500ms~20ms

Choose Llama 3.2 90B Vision when:

  • ✓ Chart image analysis
  • ✓ Document scanning
  • ✓ Visual Q&A
Key Strengths:

Vision + language, Open weights, Good reasoning

Choose Multilingual E5 Large when:

  • ✓ Multilingual search
  • ✓ Cross-language RAG
  • ✓ Global apps
Key Strengths:

100+ languages, Strong multilingual, Good quality

Verdict: Llama 3.2 90B Vision vs Multilingual E5 Large

For cost efficiency, Multilingual E5 Large wins at $0.001/1M input tokens. For speed, Multilingual E5 Large is faster at ~20ms. Llama 3.2 90B Vision excels at Chart image analysis while Multilingual E5 Large 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 90B Vision costs $0.06/1M input tokens and $0.10/1M output tokens. Multilingual E5 Large costs $0.001 input and N/A output. Multilingual E5 Large is 60.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.2 90B Vision has a 128K context window with ~500ms latency. Multilingual E5 Large offers 512 context at ~20ms. Llama 3.2 90B Vision has the larger context window.

Best For

Llama 3.2 90B Vision (Vision) is optimized for: Chart image analysis, Document scanning, Visual Q&A. Multilingual E5 Large (Embedding) works best for: Multilingual search, Cross-language RAG, Global apps.

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 90B Vision
response_a = client.chat.completions.create(
    model="llama-3-2-90b-vision",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Multilingual E5 Large
response_b = client.chat.completions.create(
    model="multilingual-e5-large",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Llama 3.2 90B Vision or Multilingual E5 Large?

Llama 3.2 90B Vision (Vision, 90B) offers Vision + language. Multilingual E5 Large (Embedding, 560M) offers 100+ languages. Choose Llama 3.2 90B Vision for Chart image analysis or Multilingual E5 Large for Multilingual search.

How much does Llama 3.2 90B Vision cost vs Multilingual E5 Large?

Llama 3.2 90B Vision: $0.06/1M input, $0.10/1M output. Multilingual E5 Large: $0.001/1M 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 90B Vision and Multilingual E5 Large 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.