Llama 3.1 8B Turbo vs InternVL 2.5 78B

Compare Llama 3.1 8B Turbo and InternVL 2.5 78B: 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 InternVL 2.5 78B
CategoryCompactVision
Parameters8B78B
Context Window128K128K
Input Price$0.01/1M tokens$0.05/1M tokens
Output Price$0.02/1M tokens$0.10/1M tokens
Latency~60ms~400ms

Choose Llama 3.1 8B Turbo when:

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

Extremely fast, Very low cost, 128K context

Choose InternVL 2.5 78B when:

  • ✓ Document analysis
  • ✓ Chart reading
  • ✓ Visual Q&A
Key Strengths:

Strong visual reasoning, Open weights, Good OCR

Verdict: Llama 3.1 8B Turbo vs InternVL 2.5 78B

For cost efficiency, Llama 3.1 8B Turbo wins at $0.01/1M input tokens. For speed, InternVL 2.5 78B is faster at ~400ms. Llama 3.1 8B Turbo excels at Intent classification while InternVL 2.5 78B is better for Document analysis. 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. InternVL 2.5 78B costs $0.05 input and $0.10 output. Llama 3.1 8B Turbo is 5.0x 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. InternVL 2.5 78B offers 128K context at ~400ms. Both have identical context windows.

Best For

Llama 3.1 8B Turbo (Compact) is optimized for: Intent classification, Content filtering, Simple Q&A. InternVL 2.5 78B (Vision) works best for: Document analysis, Chart reading, Visual Q&A.

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 InternVL 2.5 78B
response_b = client.chat.completions.create(
    model="internvl-2-5-78b",
    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 InternVL 2.5 78B?

Llama 3.1 8B Turbo (Compact, 8B) offers Extremely fast. InternVL 2.5 78B (Vision, 78B) offers Strong visual reasoning. Choose Llama 3.1 8B Turbo for Intent classification or InternVL 2.5 78B for Document analysis.

How much does Llama 3.1 8B Turbo cost vs InternVL 2.5 78B?

Llama 3.1 8B Turbo: $0.01/1M input, $0.02/1M output. InternVL 2.5 78B: $0.05/1M input, $0.10/1M 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 InternVL 2.5 78B 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.