Llama 3.1 70B Turbo vs Nomic Embed Text v1.5

Compare Llama 3.1 70B Turbo 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

All Meta models All Nomic AI models What is an LLM API? Python Quickstart What is inference?
Feature Llama 3.1 70B Turbo Nomic Embed Text v1.5
CategoryOpen SourceEmbedding
Parameters70B137M
Context Window128K8K
Input Price$0.04/1M tokens$0.001/1M tokens
Output Price$0.06/1M tokensN/A/1M tokens
Latency~250ms~10ms

Choose Llama 3.1 70B Turbo when:

  • ✓ Production APIs
  • ✓ Fast generation
  • ✓ General purpose
Key Strengths:

Fast inference, Good quality, Well-tested

Choose Nomic Embed Text v1.5 when:

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

8K context, Very low cost, Fast

Verdict: Llama 3.1 70B Turbo 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. Llama 3.1 70B Turbo excels at Production APIs 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

Llama 3.1 70B Turbo costs $0.04/1M input tokens and $0.06/1M output tokens. Nomic Embed Text v1.5 costs $0.001 input and N/A 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

Llama 3.1 70B Turbo has a 128K context window with ~250ms latency. Nomic Embed Text v1.5 offers 8K context at ~10ms. Llama 3.1 70B Turbo has the larger context window.

Best For

Llama 3.1 70B Turbo (Open Source) is optimized for: Production APIs, Fast generation, General purpose. 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 Llama 3.1 70B Turbo
response_a = client.chat.completions.create(
    model="llama-3-1-70b-turbo",
    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, Llama 3.1 70B Turbo or Nomic Embed Text v1.5?

Llama 3.1 70B Turbo (Open Source, 70B) offers Fast inference. Nomic Embed Text v1.5 (Embedding, 137M) offers 8K context. Choose Llama 3.1 70B Turbo for Production APIs or Nomic Embed Text v1.5 for Long document embedding.

How much does Llama 3.1 70B Turbo cost vs Nomic Embed Text v1.5?

Llama 3.1 70B Turbo: $0.04/1M input, $0.06/1M 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 Llama 3.1 70B Turbo 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.