Gemini 2.5 Pro vs Molmo 72B
Compare Gemini 2.5 Pro 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
| Feature | Gemini 2.5 Pro | Molmo 72B |
|---|---|---|
| Category | Frontier | Vision |
| Parameters | ~1.5T | 72B |
| Context Window | 2M | 128K |
| Input Price | $0.07/1M tokens | $0.04/1M tokens |
| Output Price | $0.21/1M tokens | $0.08/1M tokens |
| Latency | ~600ms | ~350ms |
Choose Gemini 2.5 Pro when:
- ✓ Classical text analysis
- ✓ Multi-document reports
- ✓ Research
2M context, Strong multimodal, Long text analysis
Choose Molmo 72B when:
- ✓ Visual grounding
- ✓ Object detection
- ✓ Research
Fully open, Good pointing/grounding, Transparent
Verdict: Gemini 2.5 Pro vs Molmo 72B
For cost efficiency, Molmo 72B wins at $0.04/1M input tokens. For speed, Molmo 72B is faster at ~350ms. Gemini 2.5 Pro excels at Classical text analysis 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
Gemini 2.5 Pro costs $0.07/1M input tokens and $0.21/1M output tokens. Molmo 72B costs $0.04 input and $0.08 output. Molmo 72B is 1.8x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Gemini 2.5 Pro has a 2M context window with ~600ms latency. Molmo 72B offers 128K context at ~350ms. Gemini 2.5 Pro has the larger context window.
Best For
Gemini 2.5 Pro (Frontier) is optimized for: Classical text analysis, Multi-document reports, Research. 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 Gemini 2.5 Pro
response_a = client.chat.completions.create(
model="gemini-2-5-pro",
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"}]
)Frequently Asked Questions
Which is better, Gemini 2.5 Pro or Molmo 72B?
Gemini 2.5 Pro (Frontier, ~1.5T) offers 2M context. Molmo 72B (Vision, 72B) offers Fully open. Choose Gemini 2.5 Pro for Classical text analysis or Molmo 72B for Visual grounding.
How much does Gemini 2.5 Pro cost vs Molmo 72B?
Gemini 2.5 Pro: $0.07/1M input, $0.21/1M 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 Gemini 2.5 Pro 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.