Gemini 2.5 Pro vs Llama 3.2 90B Vision

Compare Gemini 2.5 Pro 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

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Feature Gemini 2.5 Pro Llama 3.2 90B Vision
CategoryFrontierVision
Parameters~1.5T90B
Context Window2M128K
Input Price$0.07/1M tokens$0.06/1M tokens
Output Price$0.21/1M tokens$0.10/1M tokens
Latency~600ms~500ms

Choose Gemini 2.5 Pro when:

  • ✓ Classical text analysis
  • ✓ Multi-document reports
  • ✓ Research
Key Strengths:

2M context, Strong multimodal, Long text analysis

Choose Llama 3.2 90B Vision when:

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

Vision + language, Open weights, Good reasoning

Verdict: Gemini 2.5 Pro vs Llama 3.2 90B Vision

For cost efficiency, Llama 3.2 90B Vision wins at $0.06/1M input tokens. For speed, Llama 3.2 90B Vision is faster at ~500ms. Gemini 2.5 Pro excels at Classical text analysis 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

Gemini 2.5 Pro costs $0.07/1M input tokens and $0.21/1M output tokens. Llama 3.2 90B Vision costs $0.06 input and $0.10 output. Llama 3.2 90B Vision is 1.2x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Gemini 2.5 Pro has a 2M context window with ~600ms latency. Llama 3.2 90B Vision offers 128K context at ~500ms. Gemini 2.5 Pro has the larger context window.

Best For

Gemini 2.5 Pro (Frontier) is optimized for: Classical text analysis, Multi-document reports, Research. 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 Gemini 2.5 Pro
response_a = client.chat.completions.create(
    model="gemini-2-5-pro",
    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, Gemini 2.5 Pro or Llama 3.2 90B Vision?

Gemini 2.5 Pro (Frontier, ~1.5T) offers 2M context. Llama 3.2 90B Vision (Vision, 90B) offers Vision + language. Choose Gemini 2.5 Pro for Classical text analysis or Llama 3.2 90B Vision for Chart image analysis.

How much does Gemini 2.5 Pro cost vs Llama 3.2 90B Vision?

Gemini 2.5 Pro: $0.07/1M input, $0.21/1M 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 Gemini 2.5 Pro and Llama 3.2 90B Vision 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.