DeepSeek V3 vs Nomic Embed Text v1.5

Compare DeepSeek V3 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

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Feature DeepSeek V3 Nomic Embed Text v1.5
CategoryOpen SourceEmbedding
Parameters671B (37B active)137M
Context Window128K8K
Input Price$0.05/1M tokens$0.001/1M tokens
Output Price$0.09/1M tokensN/A/1M tokens
Latency~400ms~10ms

Choose DeepSeek V3 when:

  • ✓ API response generation
  • ✓ High-volume processing
  • ✓ Code
Key Strengths:

MoE efficiency, Strong coding, Good structured output

Choose Nomic Embed Text v1.5 when:

  • ✓ Long document embedding
  • ✓ Semantic search
  • ✓ Clustering
Key Strengths:

8K context, Very low cost, Fast

Verdict: DeepSeek V3 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 excels at API response generation 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 costs $0.05/1M input tokens and $0.09/1M output tokens. Nomic Embed Text v1.5 costs $0.001 input and N/A output. Nomic Embed Text v1.5 is 50.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

DeepSeek V3 has a 128K context window with ~400ms latency. Nomic Embed Text v1.5 offers 8K context at ~10ms. DeepSeek V3 has the larger context window.

Best For

DeepSeek V3 (Open Source) is optimized for: API response generation, High-volume processing, Code. 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
response_a = client.chat.completions.create(
    model="deepseek-v3",
    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"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, DeepSeek V3 or Nomic Embed Text v1.5?

DeepSeek V3 (Open Source, 671B (37B active)) offers MoE efficiency. Nomic Embed Text v1.5 (Embedding, 137M) offers 8K context. Choose DeepSeek V3 for API response generation or Nomic Embed Text v1.5 for Long document embedding.

How much does DeepSeek V3 cost vs Nomic Embed Text v1.5?

DeepSeek V3: $0.05/1M input, $0.09/1M 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 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.