Amazon Titan Embed v2 vs Llama Guard 3 8B
Compare Amazon Titan Embed v2 and Llama Guard 3 8B: 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 | Llama Guard 3 8B |
|---|---|---|
| Category | Embedding | Safety |
| Parameters | ~200M | 8B |
| Context Window | 8K | 128K |
| Input Price | $0.001/1M tokens | $0.01/1M tokens |
| Output Price | N/A/1M tokens | $0.02/1M tokens |
| Latency | ~15ms | ~60ms |
Choose Amazon Titan Embed v2 when:
- ✓ AWS RAG pipelines
- ✓ Enterprise search
- ✓ Document indexing
AWS native, Low cost, Reliable
Choose Llama Guard 3 8B when:
- ✓ Content moderation
- ✓ Safety filtering
- ✓ Input validation
Safety classification, Fast, Open weights
Verdict: Amazon Titan Embed v2 vs Llama Guard 3 8B
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 Llama Guard 3 8B is better for Content moderation. 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. Llama Guard 3 8B costs $0.01 input and $0.02 output. Amazon Titan Embed v2 is 10.0x 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. Llama Guard 3 8B offers 128K context at ~60ms. Llama Guard 3 8B has the larger context window.
Best For
Amazon Titan Embed v2 (Embedding) is optimized for: AWS RAG pipelines, Enterprise search, Document indexing. Llama Guard 3 8B (Safety) works best for: Content moderation, Safety filtering, Input validation.
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 Llama Guard 3 8B
response_b = client.chat.completions.create(
model="llama-guard-3-8b",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Amazon Titan Embed v2 or Llama Guard 3 8B?
Amazon Titan Embed v2 (Embedding, ~200M) offers AWS native. Llama Guard 3 8B (Safety, 8B) offers Safety classification. Choose Amazon Titan Embed v2 for AWS RAG pipelines or Llama Guard 3 8B for Content moderation.
How much does Amazon Titan Embed v2 cost vs Llama Guard 3 8B?
Amazon Titan Embed v2: $0.001/1M input, N/A/1M output. Llama Guard 3 8B: $0.01/1M input, $0.02/1M 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 Llama Guard 3 8B 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.