Llama 3.2 11B Vision vs Molmo 72B
Compare Llama 3.2 11B Vision and Molmo 72B: 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 | Llama 3.2 11B Vision | Molmo 72B |
|---|---|---|
| Category | Vision | Vision |
| Parameters | 11B | 72B |
| Context Window | 128K | 128K |
| Input Price | $0.02/1M tokens | $0.04/1M tokens |
| Output Price | $0.04/1M tokens | $0.08/1M tokens |
| Latency | ~200ms | ~350ms |
Choose Llama 3.2 11B Vision when:
- ✓ Image classification
- ✓ OCR
- ✓ Simple visual Q&A
Low cost vision, Fast, Compact
Choose Molmo 72B when:
- ✓ Visual grounding
- ✓ Object detection
- ✓ Research
Fully open, Good pointing/grounding, Transparent
Verdict: Llama 3.2 11B Vision vs Molmo 72B
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. Llama 3.2 11B Vision excels at Image classification while Molmo 72B is better for Visual grounding. 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 11B Vision costs $0.02/1M input tokens and $0.04/1M output tokens. Molmo 72B costs $0.04 input and $0.08 output. Llama 3.2 11B Vision is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Llama 3.2 11B Vision has a 128K context window with ~200ms latency. Molmo 72B offers 128K context at ~350ms. Both have identical context windows.
Best For
Llama 3.2 11B Vision (Vision) is optimized for: Image classification, OCR, Simple visual Q&A. Molmo 72B (Vision) works best for: Visual grounding, Object detection, Research.
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 11B Vision
response_a = client.chat.completions.create(
model="llama-3-2-11b-vision",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Molmo 72B
response_b = client.chat.completions.create(
model="molmo-72b",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, Llama 3.2 11B Vision or Molmo 72B?
Llama 3.2 11B Vision (Vision, 11B) offers Low cost vision. Molmo 72B (Vision, 72B) offers Fully open. Choose Llama 3.2 11B Vision for Image classification or Molmo 72B for Visual grounding.
How much does Llama 3.2 11B Vision cost vs Molmo 72B?
Llama 3.2 11B Vision: $0.02/1M input, $0.04/1M output. Molmo 72B: $0.04/1M input, $0.08/1M 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 11B Vision and Molmo 72B 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.