Llama 3.1 8B Turbo vs BGE Large v1.5

Compare Llama 3.1 8B Turbo and BGE Large 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 Llama 3.1 8B Turbo BGE Large v1.5
CategoryCompactEmbedding
Parameters8B326M
Context Window128K512
Input Price$0.01/1M tokens$0.001/1M tokens
Output Price$0.02/1M tokensN/A/1M tokens
Latency~60ms~15ms

Choose Llama 3.1 8B Turbo when:

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

Extremely fast, Very low cost, 128K context

Choose BGE Large v1.5 when:

  • ✓ Budget RAG
  • ✓ Knowledge bases
  • ✓ Document clustering
Key Strengths:

Very low cost, Good multilingual, Fast

Verdict: Llama 3.1 8B Turbo vs BGE Large v1.5

For cost efficiency, BGE Large v1.5 wins at $0.001/1M input tokens. For speed, BGE Large v1.5 is faster at ~15ms. Llama 3.1 8B Turbo excels at Intent classification while BGE Large v1.5 is better for Budget RAG. 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. BGE Large v1.5 costs $0.001 input and N/A output. BGE Large 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. BGE Large v1.5 offers 512 context at ~15ms. 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. BGE Large v1.5 (Embedding) works best for: Budget RAG, Knowledge bases, Document 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 BGE Large v1.5
response_b = client.chat.completions.create(
    model="bge-large-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 BGE Large v1.5?

Llama 3.1 8B Turbo (Compact, 8B) offers Extremely fast. BGE Large v1.5 (Embedding, 326M) offers Very low cost. Choose Llama 3.1 8B Turbo for Intent classification or BGE Large v1.5 for Budget RAG.

How much does Llama 3.1 8B Turbo cost vs BGE Large v1.5?

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