Jamba 1.5 Large vs Molmo 72B

Compare Jamba 1.5 Large 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 Jamba 1.5 Large Molmo 72B
CategoryEnterpriseVision
Parameters398B (94B active)72B
Context Window256K128K
Input Price$0.08/1M tokens$0.04/1M tokens
Output Price$0.14/1M tokens$0.08/1M tokens
Latency~500ms~350ms

Choose Jamba 1.5 Large when:

  • ✓ Full text processing
  • ✓ Comprehensive reports
  • ✓ Long analysis
Key Strengths:

256K context, SSM-Transformer hybrid, Good summarization

Choose Molmo 72B when:

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

Fully open, Good pointing/grounding, Transparent

Verdict: Jamba 1.5 Large vs Molmo 72B

For cost efficiency, Molmo 72B wins at $0.04/1M input tokens. For speed, Molmo 72B is faster at ~350ms. Jamba 1.5 Large excels at Full text processing 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

Jamba 1.5 Large costs $0.08/1M input tokens and $0.14/1M output tokens. Molmo 72B costs $0.04 input and $0.08 output. Molmo 72B is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Jamba 1.5 Large has a 256K context window with ~500ms latency. Molmo 72B offers 128K context at ~350ms. Jamba 1.5 Large has the larger context window.

Best For

Jamba 1.5 Large (Enterprise) is optimized for: Full text processing, Comprehensive reports, Long analysis. 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 Jamba 1.5 Large
response_a = client.chat.completions.create(
    model="jamba-1-5-large",
    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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Frequently Asked Questions

Which is better, Jamba 1.5 Large or Molmo 72B?

Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. Molmo 72B (Vision, 72B) offers Fully open. Choose Jamba 1.5 Large for Full text processing or Molmo 72B for Visual grounding.

How much does Jamba 1.5 Large cost vs Molmo 72B?

Jamba 1.5 Large: $0.08/1M input, $0.14/1M 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 Jamba 1.5 Large 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.