Llama 3.2 90B Vision vs Arctic Large

Compare Llama 3.2 90B Vision and Arctic 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 Arctic Large
CategoryVisionEnterprise
Parameters90B480B (17B active)
Context Window128K128K
Input Price$0.06/1M tokens$0.06/1M tokens
Output Price$0.10/1M tokens$0.10/1M tokens
Latency~500ms~400ms

Choose Llama 3.2 90B Vision when:

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

Vision + language, Open weights, Good reasoning

Choose Arctic Large when:

  • ✓ Data analysis
  • ✓ SQL generation
  • ✓ Business intelligence
Key Strengths:

Strong SQL, Data analysis, Enterprise features

Verdict: Llama 3.2 90B Vision vs Arctic Large

For cost efficiency, Arctic Large wins at $0.06/1M input tokens. For speed, Arctic Large is faster at ~400ms. Llama 3.2 90B Vision excels at Chart image analysis while Arctic Large is better for Data analysis. 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. Arctic Large costs $0.06 input and $0.10 output. Both models are similarly priced. 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. Arctic Large offers 128K context at ~400ms. Both have identical context windows.

Best For

Llama 3.2 90B Vision (Vision) is optimized for: Chart image analysis, Document scanning, Visual Q&A. Arctic Large (Enterprise) works best for: Data analysis, SQL generation, Business intelligence.

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 Arctic Large
response_b = client.chat.completions.create(
    model="arctic-large",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Frequently Asked Questions

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

Llama 3.2 90B Vision (Vision, 90B) offers Vision + language. Arctic Large (Enterprise, 480B (17B active)) offers Strong SQL. Choose Llama 3.2 90B Vision for Chart image analysis or Arctic Large for Data analysis.

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

Llama 3.2 90B Vision: $0.06/1M input, $0.10/1M output. Arctic Large: $0.06/1M input, $0.10/1M 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 Arctic 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.