Nomic Embed Text v1.5 vs NVIDIA Nemotron 70B
Compare Nomic Embed Text v1.5 and NVIDIA Nemotron 70B: 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 | Nomic Embed Text v1.5 | NVIDIA Nemotron 70B |
|---|---|---|
| Category | Embedding | Open Source |
| Parameters | 137M | 70B |
| Context Window | 8K | 128K |
| Input Price | $0.001/1M tokens | $0.04/1M tokens |
| Output Price | N/A/1M tokens | $0.06/1M tokens |
| Latency | ~10ms | ~300ms |
Choose Nomic Embed Text v1.5 when:
- ✓ Long document embedding
- ✓ Semantic search
- ✓ Clustering
8K context, Very low cost, Fast
Choose NVIDIA Nemotron 70B when:
- ✓ Helpful chatbots
- ✓ Customer service
- ✓ Q&A
Optimized for helpfulness, Strong quality, Good reasoning
Verdict: Nomic Embed Text v1.5 vs NVIDIA Nemotron 70B
For cost efficiency, Nomic Embed Text v1.5 wins at $0.001/1M input tokens. For speed, Nomic Embed Text v1.5 is faster at ~10ms. Nomic Embed Text v1.5 excels at Long document embedding while NVIDIA Nemotron 70B is better for Helpful chatbots. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
Nomic Embed Text v1.5 costs $0.001/1M input tokens and N/A/1M output tokens. NVIDIA Nemotron 70B costs $0.04 input and $0.06 output. Nomic Embed Text v1.5 is 40.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Nomic Embed Text v1.5 has a 8K context window with ~10ms latency. NVIDIA Nemotron 70B offers 128K context at ~300ms. NVIDIA Nemotron 70B has the larger context window.
Best For
Nomic Embed Text v1.5 (Embedding) is optimized for: Long document embedding, Semantic search, Clustering. NVIDIA Nemotron 70B (Open Source) works best for: Helpful chatbots, Customer service, Q&A.
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 Nomic Embed Text v1.5
response_a = client.chat.completions.create(
model="nomic-embed-text-v1-5",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use NVIDIA Nemotron 70B
response_b = client.chat.completions.create(
model="nvidia-llama-3-1-nemotron-70b",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Nomic Embed Text v1.5 or NVIDIA Nemotron 70B?
Nomic Embed Text v1.5 (Embedding, 137M) offers 8K context. NVIDIA Nemotron 70B (Open Source, 70B) offers Optimized for helpfulness. Choose Nomic Embed Text v1.5 for Long document embedding or NVIDIA Nemotron 70B for Helpful chatbots.
How much does Nomic Embed Text v1.5 cost vs NVIDIA Nemotron 70B?
Nomic Embed Text v1.5: $0.001/1M input, N/A/1M output. NVIDIA Nemotron 70B: $0.04/1M input, $0.06/1M 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 Nomic Embed Text v1.5 and NVIDIA Nemotron 70B 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.