Claude Sonnet 4.5 vs Llama 3.2 90B Vision

Compare Claude Sonnet 4.5 and Llama 3.2 90B Vision: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

All Anthropic models All Meta models What is an LLM API? Python Quickstart What is inference?
Feature Claude Sonnet 4.5 Llama 3.2 90B Vision
CategoryFrontierVision
Parameters~600B90B
Context Window200K128K
Input Price$0.03/1M tokens$0.06/1M tokens
Output Price$0.15/1M tokens$0.10/1M tokens
Latency~350ms~500ms

Choose Claude Sonnet 4.5 when:

  • ✓ Code generation
  • ✓ Structured output
  • ✓ Automation
Key Strengths:

Strong coding, Better instruction following, Reliable

Choose Llama 3.2 90B Vision when:

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

Vision + language, Open weights, Good reasoning

Verdict: Claude Sonnet 4.5 vs Llama 3.2 90B Vision

For cost efficiency, Claude Sonnet 4.5 wins at $0.03/1M input tokens. For speed, Claude Sonnet 4.5 is faster at ~350ms. Claude Sonnet 4.5 excels at Code generation while Llama 3.2 90B Vision is better for Chart image 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

Claude Sonnet 4.5 costs $0.03/1M input tokens and $0.15/1M output tokens. Llama 3.2 90B Vision costs $0.06 input and $0.10 output. Claude Sonnet 4.5 is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Claude Sonnet 4.5 has a 200K context window with ~350ms latency. Llama 3.2 90B Vision offers 128K context at ~500ms. Claude Sonnet 4.5 has the larger context window.

Best For

Claude Sonnet 4.5 (Frontier) is optimized for: Code generation, Structured output, Automation. Llama 3.2 90B Vision (Vision) works best for: Chart image analysis, Document scanning, Visual Q&A.

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 Claude Sonnet 4.5
response_a = client.chat.completions.create(
    model="claude-sonnet-4-5",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Llama 3.2 90B Vision
response_b = client.chat.completions.create(
    model="llama-3-2-90b-vision",
    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, Claude Sonnet 4.5 or Llama 3.2 90B Vision?

Claude Sonnet 4.5 (Frontier, ~600B) offers Strong coding. Llama 3.2 90B Vision (Vision, 90B) offers Vision + language. Choose Claude Sonnet 4.5 for Code generation or Llama 3.2 90B Vision for Chart image analysis.

How much does Claude Sonnet 4.5 cost vs Llama 3.2 90B Vision?

Claude Sonnet 4.5: $0.03/1M input, $0.15/1M output. Llama 3.2 90B Vision: $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 Claude Sonnet 4.5 and Llama 3.2 90B Vision by changing the model parameter. No code changes needed.

Related Comparisons

Claude Sonnet 4.5 vs Vedika Vision Claude Sonnet 4.5 vs GPT-4.1 Claude Sonnet 4.5 vs GPT-4.1 Mini Claude Sonnet 4.5 vs GPT-4o Claude Sonnet 4.5 vs Claude Opus 4 Claude Sonnet 4.5 vs Claude Sonnet 4

Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.