Llama 3.1 8B Turbo vs Molmo 72B

Compare Llama 3.1 8B Turbo and Molmo 72B: 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 Molmo 72B
CategoryCompactVision
Parameters8B72B
Context Window128K128K
Input Price$0.01/1M tokens$0.04/1M tokens
Output Price$0.02/1M tokens$0.08/1M tokens
Latency~60ms~350ms

Choose Llama 3.1 8B Turbo when:

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

Extremely fast, Very low cost, 128K context

Choose Molmo 72B when:

  • ✓ Visual grounding
  • ✓ Object detection
  • ✓ Research
Key Strengths:

Fully open, Good pointing/grounding, Transparent

Verdict: Llama 3.1 8B Turbo vs Molmo 72B

For cost efficiency, Llama 3.1 8B Turbo wins at $0.01/1M input tokens. For speed, Molmo 72B is faster at ~350ms. Llama 3.1 8B Turbo excels at Intent classification while Molmo 72B is better for Visual grounding. 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. Molmo 72B costs $0.04 input and $0.08 output. Llama 3.1 8B Turbo is 4.0x 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. Molmo 72B offers 128K context at ~350ms. Both have identical context windows.

Best For

Llama 3.1 8B Turbo (Compact) is optimized for: Intent classification, Content filtering, Simple Q&A. Molmo 72B (Vision) works best for: Visual grounding, Object detection, Research.

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 Molmo 72B
response_b = client.chat.completions.create(
    model="molmo-72b",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Llama 3.1 8B Turbo or Molmo 72B?

Llama 3.1 8B Turbo (Compact, 8B) offers Extremely fast. Molmo 72B (Vision, 72B) offers Fully open. Choose Llama 3.1 8B Turbo for Intent classification or Molmo 72B for Visual grounding.

How much does Llama 3.1 8B Turbo cost vs Molmo 72B?

Llama 3.1 8B Turbo: $0.01/1M input, $0.02/1M output. Molmo 72B: $0.04/1M input, $0.08/1M 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 Molmo 72B 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.