DeepSeek V3.1 vs Nomic Embed Text v1.5
Compare DeepSeek V3.1 and Nomic Embed Text v1.5: 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 | DeepSeek V3.1 | Nomic Embed Text v1.5 |
|---|---|---|
| Category | Open Source | Embedding |
| Parameters | 685B (37B active) | 137M |
| 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 | ~10ms |
Choose DeepSeek V3.1 when:
- ✓ Production apps
- ✓ Content generation
- ✓ Multi-language
Improved quality, Better safety, Stronger multilingual
Choose Nomic Embed Text v1.5 when:
- ✓ Long document embedding
- ✓ Semantic search
- ✓ Clustering
8K context, Very low cost, Fast
Verdict: DeepSeek V3.1 vs Nomic Embed Text v1.5
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. DeepSeek V3.1 excels at Production apps while Nomic Embed Text v1.5 is better for Long document embedding. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
DeepSeek V3.1 costs $0.06/1M input tokens and $0.10/1M output tokens. Nomic Embed Text v1.5 costs $0.001 input and N/A output. Nomic Embed Text v1.5 is 60.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
DeepSeek V3.1 has a 128K context window with ~400ms latency. Nomic Embed Text v1.5 offers 8K context at ~10ms. DeepSeek V3.1 has the larger context window.
Best For
DeepSeek V3.1 (Open Source) is optimized for: Production apps, Content generation, Multi-language. Nomic Embed Text v1.5 (Embedding) works best for: Long document embedding, Semantic search, Clustering.
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 DeepSeek V3.1
response_a = client.chat.completions.create(
model="deepseek-v3-1",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Nomic Embed Text v1.5
response_b = client.chat.completions.create(
model="nomic-embed-text-v1-5",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, DeepSeek V3.1 or Nomic Embed Text v1.5?
DeepSeek V3.1 (Open Source, 685B (37B active)) offers Improved quality. Nomic Embed Text v1.5 (Embedding, 137M) offers 8K context. Choose DeepSeek V3.1 for Production apps or Nomic Embed Text v1.5 for Long document embedding.
How much does DeepSeek V3.1 cost vs Nomic Embed Text v1.5?
DeepSeek V3.1: $0.06/1M input, $0.10/1M output. Nomic Embed Text v1.5: $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 DeepSeek V3.1 and Nomic Embed Text v1.5 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.