Gemini 2.5 Pro vs Llama 3.2 11B Vision
Compare Gemini 2.5 Pro and Llama 3.2 11B 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
| Feature | Gemini 2.5 Pro | Llama 3.2 11B Vision |
|---|---|---|
| Category | Frontier | Vision |
| Parameters | ~1.5T | 11B |
| Context Window | 2M | 128K |
| Input Price | $0.07/1M tokens | $0.02/1M tokens |
| Output Price | $0.21/1M tokens | $0.04/1M tokens |
| Latency | ~600ms | ~200ms |
Choose Gemini 2.5 Pro when:
- ✓ Classical text analysis
- ✓ Multi-document reports
- ✓ Research
2M context, Strong multimodal, Long text analysis
Choose Llama 3.2 11B Vision when:
- ✓ Image classification
- ✓ OCR
- ✓ Simple visual Q&A
Low cost vision, Fast, Compact
Verdict: Gemini 2.5 Pro vs Llama 3.2 11B Vision
For cost efficiency, Llama 3.2 11B Vision wins at $0.02/1M input tokens. For speed, Llama 3.2 11B Vision is faster at ~200ms. Gemini 2.5 Pro excels at Classical text analysis while Llama 3.2 11B Vision is better for Image classification. 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 11B Vision costs $0.02 input and $0.04 output. Llama 3.2 11B Vision is 3.5x 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 11B Vision offers 128K context at ~200ms. 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 11B Vision (Vision) works best for: Image classification, OCR, Simple 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 11B Vision
response_b = client.chat.completions.create(
model="llama-3-2-11b-vision",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Gemini 2.5 Pro or Llama 3.2 11B Vision?
Gemini 2.5 Pro (Frontier, ~1.5T) offers 2M context. Llama 3.2 11B Vision (Vision, 11B) offers Low cost vision. Choose Gemini 2.5 Pro for Classical text analysis or Llama 3.2 11B Vision for Image classification.
How much does Gemini 2.5 Pro cost vs Llama 3.2 11B Vision?
Gemini 2.5 Pro: $0.07/1M input, $0.21/1M output. Llama 3.2 11B Vision: $0.02/1M input, $0.04/1M 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 11B 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.