Amazon Titan Embed v2 vs Molmo 72B
Compare Amazon Titan Embed v2 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 | Amazon Titan Embed v2 | Molmo 72B |
|---|---|---|
| Category | Embedding | Vision |
| Parameters | ~200M | 72B |
| Context Window | 8K | 128K |
| Input Price | $0.001/1M tokens | $0.04/1M tokens |
| Output Price | N/A/1M tokens | $0.08/1M tokens |
| Latency | ~15ms | ~350ms |
Choose Amazon Titan Embed v2 when:
- ✓ AWS RAG pipelines
- ✓ Enterprise search
- ✓ Document indexing
AWS native, Low cost, Reliable
Choose Molmo 72B when:
- ✓ Visual grounding
- ✓ Object detection
- ✓ Research
Fully open, Good pointing/grounding, Transparent
Verdict: Amazon Titan Embed v2 vs Molmo 72B
For cost efficiency, Amazon Titan Embed v2 wins at $0.001/1M input tokens. For speed, Amazon Titan Embed v2 is faster at ~15ms. Amazon Titan Embed v2 excels at AWS RAG pipelines 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
Amazon Titan Embed v2 costs $0.001/1M input tokens and N/A/1M output tokens. Molmo 72B costs $0.04 input and $0.08 output. Amazon Titan Embed v2 is 40.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Amazon Titan Embed v2 has a 8K context window with ~15ms latency. Molmo 72B offers 128K context at ~350ms. Molmo 72B has the larger context window.
Best For
Amazon Titan Embed v2 (Embedding) is optimized for: AWS RAG pipelines, Enterprise search, Document indexing. 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 Amazon Titan Embed v2
response_a = client.chat.completions.create(
model="amazon-titan-embed-v2",
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, Amazon Titan Embed v2 or Molmo 72B?
Amazon Titan Embed v2 (Embedding, ~200M) offers AWS native. Molmo 72B (Vision, 72B) offers Fully open. Choose Amazon Titan Embed v2 for AWS RAG pipelines or Molmo 72B for Visual grounding.
How much does Amazon Titan Embed v2 cost vs Molmo 72B?
Amazon Titan Embed v2: $0.001/1M input, N/A/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 Amazon Titan Embed v2 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.