Text Embedding 3 Large vs Amazon Titan Premier
Compare Text Embedding 3 Large and Amazon Titan Premier: 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 | Text Embedding 3 Large | Amazon Titan Premier |
|---|---|---|
| Category | Embedding | Enterprise |
| Parameters | ~500M | ~100B |
| Context Window | 8K | 32K |
| Input Price | $0.002/1M tokens | $0.05/1M tokens |
| Output Price | N/A/1M tokens | $0.10/1M tokens |
| Latency | ~20ms | ~400ms |
Choose Text Embedding 3 Large when:
- ✓ Semantic search
- ✓ Knowledge retrieval
- ✓ Similarity matching
3072 dimensions, Superior semantic quality, Matryoshka support
Choose Amazon Titan Premier when:
- ✓ Enterprise apps
- ✓ AWS integration
- ✓ Secure workloads
AWS native, Enterprise security, Good quality
Verdict: Text Embedding 3 Large vs Amazon Titan Premier
For cost efficiency, Text Embedding 3 Large wins at $0.002/1M input tokens. For speed, Text Embedding 3 Large is faster at ~20ms. Text Embedding 3 Large excels at Semantic search while Amazon Titan Premier is better for Enterprise apps. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
Text Embedding 3 Large costs $0.002/1M input tokens and N/A/1M output tokens. Amazon Titan Premier costs $0.05 input and $0.10 output. Text Embedding 3 Large is 25.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Text Embedding 3 Large has a 8K context window with ~20ms latency. Amazon Titan Premier offers 32K context at ~400ms. Amazon Titan Premier has the larger context window.
Best For
Text Embedding 3 Large (Embedding) is optimized for: Semantic search, Knowledge retrieval, Similarity matching. Amazon Titan Premier (Enterprise) works best for: Enterprise apps, AWS integration, Secure workloads.
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 Text Embedding 3 Large
response_a = client.chat.completions.create(
model="text-embedding-3-large",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Amazon Titan Premier
response_b = client.chat.completions.create(
model="amazon-titan-text-premier",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Text Embedding 3 Large or Amazon Titan Premier?
Text Embedding 3 Large (Embedding, ~500M) offers 3072 dimensions. Amazon Titan Premier (Enterprise, ~100B) offers AWS native. Choose Text Embedding 3 Large for Semantic search or Amazon Titan Premier for Enterprise apps.
How much does Text Embedding 3 Large cost vs Amazon Titan Premier?
Text Embedding 3 Large: $0.002/1M input, N/A/1M output. Amazon Titan Premier: $0.05/1M 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 Text Embedding 3 Large and Amazon Titan Premier by changing the model parameter. No code changes needed.
Related Comparisons
Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.