Amazon Titan Embed v2 vs Meshy v4
Compare Amazon Titan Embed v2 and Meshy v4: 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 | Meshy v4 |
|---|---|---|
| Category | Embedding | 3D |
| Parameters | ~200M | ~3B |
| Context Window | 8K | N/A |
| Input Price | $0.001/1M tokens | $0.10/model/1M tokens |
| Output Price | N/A/1M tokens | N/A/1M tokens |
| Latency | ~15ms | ~60s |
Choose Amazon Titan Embed v2 when:
- ✓ AWS RAG pipelines
- ✓ Enterprise search
- ✓ Document indexing
AWS native, Low cost, Reliable
Choose Meshy v4 when:
- ✓ 3D asset creation
- ✓ Game assets
- ✓ Product visualization
3D model output, PBR textures, Multiple formats
Verdict: Amazon Titan Embed v2 vs Meshy v4
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 Meshy v4 is better for 3D asset creation. 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. Meshy v4 costs $0.10/model input and N/A output. Amazon Titan Embed v2 is 100.0x 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. Meshy v4 offers N/A context at ~60s. Amazon Titan Embed v2 has the larger context window.
Best For
Amazon Titan Embed v2 (Embedding) is optimized for: AWS RAG pipelines, Enterprise search, Document indexing. Meshy v4 (3D) works best for: 3D asset creation, Game assets, Product visualization.
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 Meshy v4
response_b = client.chat.completions.create(
model="meshy-4",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Amazon Titan Embed v2 or Meshy v4?
Amazon Titan Embed v2 (Embedding, ~200M) offers AWS native. Meshy v4 (3D, ~3B) offers 3D model output. Choose Amazon Titan Embed v2 for AWS RAG pipelines or Meshy v4 for 3D asset creation.
How much does Amazon Titan Embed v2 cost vs Meshy v4?
Amazon Titan Embed v2: $0.001/1M input, N/A/1M output. Meshy v4: $0.10/model/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 Amazon Titan Embed v2 and Meshy v4 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.