Llama 3.1 70B Turbo vs Molmo 72B

Compare Llama 3.1 70B 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

All Meta models All AI2 models What is an LLM API? Python Quickstart What is inference?
Feature Llama 3.1 70B Turbo Molmo 72B
CategoryOpen SourceVision
Parameters70B72B
Context Window128K128K
Input Price$0.04/1M tokens$0.04/1M tokens
Output Price$0.06/1M tokens$0.08/1M tokens
Latency~250ms~350ms

Choose Llama 3.1 70B Turbo when:

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

Fast inference, Good quality, Well-tested

Choose Molmo 72B when:

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

Fully open, Good pointing/grounding, Transparent

Verdict: Llama 3.1 70B Turbo vs Molmo 72B

For cost efficiency, Molmo 72B wins at $0.04/1M input tokens. For speed, Llama 3.1 70B Turbo is faster at ~250ms. Llama 3.1 70B Turbo excels at Production APIs 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 70B Turbo costs $0.04/1M input tokens and $0.06/1M output tokens. Molmo 72B costs $0.04 input and $0.08 output. Both models are similarly priced. 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. Molmo 72B offers 128K context at ~350ms. Both have identical context windows.

Best For

Llama 3.1 70B Turbo (Open Source) is optimized for: Production APIs, Fast generation, General purpose. 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 70B Turbo
response_a = client.chat.completions.create(
    model="llama-3-1-70b-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"}]
)

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 Molmo 72B?

Llama 3.1 70B Turbo (Open Source, 70B) offers Fast inference. Molmo 72B (Vision, 72B) offers Fully open. Choose Llama 3.1 70B Turbo for Production APIs or Molmo 72B for Visual grounding.

How much does Llama 3.1 70B Turbo cost vs Molmo 72B?

Llama 3.1 70B Turbo: $0.04/1M input, $0.06/1M 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 70B Turbo and Molmo 72B by changing the model parameter. No code changes needed.

Related Comparisons

Llama 3.1 70B Turbo vs Vedika Vision Llama 3.1 70B Turbo vs Gemma 3 27B Llama 3.1 70B Turbo vs Llama 4 Scout Llama 3.1 70B Turbo vs Llama 4 Maverick Llama 3.1 70B Turbo vs Llama 3.3 70B Llama 3.1 70B Turbo vs Llama 3.1 405B

Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.