Gemini 2.0 Flash vs Llama 3.2 11B Vision
Compare Gemini 2.0 Flash 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 2.0 Flash | Llama 3.2 11B Vision |
|---|---|---|
| Category | Fast | Vision |
| Parameters | ~100B | 11B |
| Context Window | 1M | 128K |
| Input Price | $0.01/1M tokens | $0.02/1M tokens |
| Output Price | $0.04/1M tokens | $0.04/1M tokens |
| Latency | ~150ms | ~200ms |
Choose Gemini 2.0 Flash when:
- ✓ Budget apps
- ✓ High-volume processing
- ✓ Simple Q&A
Very low cost, 1M context, Proven reliability
Choose Llama 3.2 11B Vision when:
- ✓ Image classification
- ✓ OCR
- ✓ Simple visual Q&A
Low cost vision, Fast, Compact
Verdict: Gemini 2.0 Flash vs Llama 3.2 11B Vision
For cost efficiency, Gemini 2.0 Flash wins at $0.01/1M input tokens. For speed, Gemini 2.0 Flash is faster at ~150ms. Gemini 2.0 Flash excels at Budget apps 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 2.0 Flash costs $0.01/1M input tokens and $0.04/1M output tokens. Llama 3.2 11B Vision costs $0.02 input and $0.04 output. Gemini 2.0 Flash is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Gemini 2.0 Flash has a 1M context window with ~150ms latency. Llama 3.2 11B Vision offers 128K context at ~200ms. Gemini 2.0 Flash has the larger context window.
Best For
Gemini 2.0 Flash (Fast) is optimized for: Budget apps, High-volume processing, Simple Q&A. 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 2.0 Flash
response_a = client.chat.completions.create(
model="gemini-2-0-flash",
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 2.0 Flash or Llama 3.2 11B Vision?
Gemini 2.0 Flash (Fast, ~100B) offers Very low cost. Llama 3.2 11B Vision (Vision, 11B) offers Low cost vision. Choose Gemini 2.0 Flash for Budget apps or Llama 3.2 11B Vision for Image classification.
How much does Gemini 2.0 Flash cost vs Llama 3.2 11B Vision?
Gemini 2.0 Flash: $0.01/1M input, $0.04/1M 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 2.0 Flash 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.