Llama 3.2 90B Vision vs Gemini 2.5 Pro Preview

Compare Llama 3.2 90B Vision and Gemini 2.5 Pro Preview: 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 Meta models All Google models What is an LLM API? Python Quickstart What is inference?
Feature Llama 3.2 90B Vision Gemini 2.5 Pro Preview
CategoryVisionFrontier
Parameters90B~1.5T
Context Window128K2M
Input Price$0.06/1M tokens$0.07/1M tokens
Output Price$0.10/1M tokens$0.21/1M tokens
Latency~500ms~700ms

Choose Llama 3.2 90B Vision when:

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

Vision + language, Open weights, Good reasoning

Choose Gemini 2.5 Pro Preview when:

  • ✓ Research
  • ✓ Long analysis
  • ✓ Testing new capabilities
Key Strengths:

2M context, Experimental features, Strong reasoning

Verdict: Llama 3.2 90B Vision vs Gemini 2.5 Pro Preview

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. Llama 3.2 90B Vision excels at Chart image analysis while Gemini 2.5 Pro Preview is better for Research. 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. Gemini 2.5 Pro Preview costs $0.07 input and $0.21 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

Llama 3.2 90B Vision has a 128K context window with ~500ms latency. Gemini 2.5 Pro Preview offers 2M context at ~700ms. Gemini 2.5 Pro Preview has the larger context window.

Best For

Llama 3.2 90B Vision (Vision) is optimized for: Chart image analysis, Document scanning, Visual Q&A. Gemini 2.5 Pro Preview (Frontier) works best for: Research, Long analysis, Testing new capabilities.

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 Gemini 2.5 Pro Preview
response_b = client.chat.completions.create(
    model="gemini-2-5-pro-preview",
    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, Llama 3.2 90B Vision or Gemini 2.5 Pro Preview?

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

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

Llama 3.2 90B Vision: $0.06/1M input, $0.10/1M output. Gemini 2.5 Pro Preview: $0.07/1M input, $0.21/1M 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 Gemini 2.5 Pro Preview by changing the model parameter. No code changes needed.

Related Comparisons

Llama 3.2 90B Vision vs Vedika Vision Llama 3.2 90B Vision vs GPT-4.1 Llama 3.2 90B Vision vs GPT-4.1 Mini Llama 3.2 90B Vision vs GPT-4o Llama 3.2 90B Vision vs Claude Opus 4 Llama 3.2 90B Vision vs Claude Sonnet 4

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