Command R+ vs Amazon Titan Embed v2
Compare Command R+ and Amazon Titan Embed v2: 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 | Command R+ | Amazon Titan Embed v2 |
|---|---|---|
| Category | Enterprise | Embedding |
| Parameters | 104B | ~200M |
| Context Window | 128K | 8K |
| Input Price | $0.06/1M tokens | $0.001/1M tokens |
| Output Price | $0.10/1M tokens | N/A/1M tokens |
| Latency | ~400ms | ~15ms |
Choose Command R+ when:
- ✓ Temple knowledge bases
- ✓ Scriptural Q&A
- ✓ Enterprise
Built-in RAG, Citation generation, Document grounding
Choose Amazon Titan Embed v2 when:
- ✓ AWS RAG pipelines
- ✓ Enterprise search
- ✓ Document indexing
AWS native, Low cost, Reliable
Verdict: Command R+ vs Amazon Titan Embed v2
For cost efficiency, Amazon Titan Embed v2 wins at $0.001/1M input tokens. For speed, Amazon Titan Embed v2 is faster at ~15ms. Command R+ excels at Temple knowledge bases while Amazon Titan Embed v2 is better for AWS RAG pipelines. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
Command R+ costs $0.06/1M input tokens and $0.10/1M output tokens. Amazon Titan Embed v2 costs $0.001 input and N/A output. Amazon Titan Embed v2 is 60.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Command R+ has a 128K context window with ~400ms latency. Amazon Titan Embed v2 offers 8K context at ~15ms. Command R+ has the larger context window.
Best For
Command R+ (Enterprise) is optimized for: Temple knowledge bases, Scriptural Q&A, Enterprise. Amazon Titan Embed v2 (Embedding) works best for: AWS RAG pipelines, Enterprise search, Document indexing.
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 Command R+
response_a = client.chat.completions.create(
model="command-r-plus",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Amazon Titan Embed v2
response_b = client.chat.completions.create(
model="amazon-titan-embed-v2",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Command R+ or Amazon Titan Embed v2?
Command R+ (Enterprise, 104B) offers Built-in RAG. Amazon Titan Embed v2 (Embedding, ~200M) offers AWS native. Choose Command R+ for Temple knowledge bases or Amazon Titan Embed v2 for AWS RAG pipelines.
How much does Command R+ cost vs Amazon Titan Embed v2?
Command R+: $0.06/1M input, $0.10/1M output. Amazon Titan Embed v2: $0.001/1M input, N/A/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 Command R+ and Amazon Titan Embed v2 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.