Gemini 2.0 Flash vs Llama 3.2 90B Vision
Compare Gemini 2.0 Flash 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
| Feature | Gemini 2.0 Flash | Llama 3.2 90B Vision |
|---|---|---|
| Category | Fast | Vision |
| Parameters | ~100B | 90B |
| Context Window | 1M | 128K |
| Input Price | $0.01/1M tokens | $0.06/1M tokens |
| Output Price | $0.04/1M tokens | $0.10/1M tokens |
| Latency | ~150ms | ~500ms |
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 90B Vision when:
- ✓ Chart image analysis
- ✓ Document scanning
- ✓ Visual Q&A
Vision + language, Open weights, Good reasoning
Verdict: Gemini 2.0 Flash vs Llama 3.2 90B 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 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 2.0 Flash costs $0.01/1M input tokens and $0.04/1M output tokens. Llama 3.2 90B Vision costs $0.06 input and $0.10 output. Gemini 2.0 Flash is 6.0x 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 90B Vision offers 128K context at ~500ms. 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 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 2.0 Flash
response_a = client.chat.completions.create(
model="gemini-2-0-flash",
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"}]
)Frequently Asked Questions
Which is better, Gemini 2.0 Flash or Llama 3.2 90B Vision?
Gemini 2.0 Flash (Fast, ~100B) offers Very low cost. Llama 3.2 90B Vision (Vision, 90B) offers Vision + language. Choose Gemini 2.0 Flash for Budget apps or Llama 3.2 90B Vision for Chart image analysis.
How much does Gemini 2.0 Flash cost vs Llama 3.2 90B Vision?
Gemini 2.0 Flash: $0.01/1M input, $0.04/1M 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 2.0 Flash 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.