Llama 3.3 70B vs Molmo 72B

Compare Llama 3.3 70B 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 3.3 70B 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~300ms~350ms

Choose Llama 3.3 70B when:

  • ✓ General Q&A
  • ✓ Hindi chatbots
  • ✓ Content generation
Key Strengths:

Proven reliability, Good Hindi/Tamil, 128K context

Choose Molmo 72B when:

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

Fully open, Good pointing/grounding, Transparent

Verdict: Llama 3.3 70B vs Molmo 72B

For cost efficiency, Molmo 72B wins at $0.04/1M input tokens. For speed, Llama 3.3 70B is faster at ~300ms. Llama 3.3 70B excels at General Q&A 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 3.3 70B 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 3.3 70B has a 128K context window with ~300ms latency. Molmo 72B offers 128K context at ~350ms. Both have identical context windows.

Best For

Llama 3.3 70B (Open Source) is optimized for: General Q&A, Hindi chatbots, Content generation. 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 3.3 70B
response_a = client.chat.completions.create(
    model="llama-3-3-70b",
    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

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Llama 3.3 70B or Molmo 72B?

Llama 3.3 70B (Open Source, 70B) offers Proven reliability. Molmo 72B (Vision, 72B) offers Fully open. Choose Llama 3.3 70B for General Q&A or Molmo 72B for Visual grounding.

How much does Llama 3.3 70B cost vs Molmo 72B?

Llama 3.3 70B: $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 3.3 70B 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.