Llama 3.2 90B Vision vs Claude 3.5 Sonnet (Thinking)

Compare Llama 3.2 90B Vision and Claude 3.5 Sonnet (Thinking): 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 Claude 3.5 Sonnet (Thinking)
CategoryVisionReasoning
Parameters90B~500B
Context Window128K200K
Input Price$0.06/1M tokens$0.03/1M tokens
Output Price$0.10/1M tokens$0.15/1M tokens
Latency~500ms~600ms

Choose Llama 3.2 90B Vision when:

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

Vision + language, Open weights, Good reasoning

Choose Claude 3.5 Sonnet (Thinking) when:

  • ✓ Complex analysis
  • ✓ Multi-step logic
  • ✓ Verification tasks
Key Strengths:

Transparent thinking, Strong reasoning, Self-correction

Verdict: Llama 3.2 90B Vision vs Claude 3.5 Sonnet (Thinking)

For cost efficiency, Claude 3.5 Sonnet (Thinking) wins at $0.03/1M input tokens. For speed, Llama 3.2 90B Vision is faster at ~500ms. Llama 3.2 90B Vision excels at Chart image analysis while Claude 3.5 Sonnet (Thinking) is better for Complex 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. Claude 3.5 Sonnet (Thinking) costs $0.03 input and $0.15 output. Claude 3.5 Sonnet (Thinking) is 2.0x 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. Claude 3.5 Sonnet (Thinking) offers 200K context at ~600ms. Claude 3.5 Sonnet (Thinking) has the larger context window.

Best For

Llama 3.2 90B Vision (Vision) is optimized for: Chart image analysis, Document scanning, Visual Q&A. Claude 3.5 Sonnet (Thinking) (Reasoning) works best for: Complex analysis, Multi-step logic, Verification tasks.

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 Claude 3.5 Sonnet (Thinking)
response_b = client.chat.completions.create(
    model="claude-3-5-sonnet-thinking",
    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 Claude 3.5 Sonnet (Thinking)?

Llama 3.2 90B Vision (Vision, 90B) offers Vision + language. Claude 3.5 Sonnet (Thinking) (Reasoning, ~500B) offers Transparent thinking. Choose Llama 3.2 90B Vision for Chart image analysis or Claude 3.5 Sonnet (Thinking) for Complex analysis.

How much does Llama 3.2 90B Vision cost vs Claude 3.5 Sonnet (Thinking)?

Llama 3.2 90B Vision: $0.06/1M input, $0.10/1M output. Claude 3.5 Sonnet (Thinking): $0.03/1M input, $0.15/1M 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 Claude 3.5 Sonnet (Thinking) 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.