Llama 3.1 8B Turbo vs Nomic Embed Text v1.5

Compare Llama 3.1 8B 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 8B Turbo Nomic Embed Text v1.5
CategoryCompactEmbedding
Parameters8B137M
Context Window128K8K
Input Price$0.01/1M tokens$0.001/1M tokens
Output Price$0.02/1M tokensN/A/1M tokens
Latency~60ms~10ms

Choose Llama 3.1 8B Turbo when:

  • ✓ Intent classification
  • ✓ Content filtering
  • ✓ Simple Q&A
Key Strengths:

Extremely fast, Very low cost, 128K context

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 8B 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 8B Turbo excels at Intent classification 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 8B Turbo costs $0.01/1M input tokens and $0.02/1M output tokens. Nomic Embed Text v1.5 costs $0.001 input and N/A output. Nomic Embed Text v1.5 is 10.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.1 8B Turbo has a 128K context window with ~60ms latency. Nomic Embed Text v1.5 offers 8K context at ~10ms. Llama 3.1 8B Turbo has the larger context window.

Best For

Llama 3.1 8B Turbo (Compact) is optimized for: Intent classification, Content filtering, Simple Q&A. 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 8B Turbo
response_a = client.chat.completions.create(
    model="llama-3-1-8b-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 8B Turbo or Nomic Embed Text v1.5?

Llama 3.1 8B Turbo (Compact, 8B) offers Extremely fast. Nomic Embed Text v1.5 (Embedding, 137M) offers 8K context. Choose Llama 3.1 8B Turbo for Intent classification or Nomic Embed Text v1.5 for Long document embedding.

How much does Llama 3.1 8B Turbo cost vs Nomic Embed Text v1.5?

Llama 3.1 8B Turbo: $0.01/1M input, $0.02/1M 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 8B 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.