DeepSeek V2.5 vs Molmo 72B
Compare DeepSeek V2.5 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 | DeepSeek V2.5 | Molmo 72B |
|---|---|---|
| Category | Open Source | Vision |
| Parameters | 236B (21B active) | 72B |
| Context Window | 128K | 128K |
| Input Price | $0.04/1M tokens | $0.04/1M tokens |
| Output Price | $0.07/1M tokens | $0.08/1M tokens |
| Latency | ~350ms | ~350ms |
Choose DeepSeek V2.5 when:
- ✓ General purpose
- ✓ Code generation
- ✓ Legacy apps
Proven model, MoE efficient, Good coding
Choose Molmo 72B when:
- ✓ Visual grounding
- ✓ Object detection
- ✓ Research
Fully open, Good pointing/grounding, Transparent
Verdict: DeepSeek V2.5 vs Molmo 72B
For cost efficiency, Molmo 72B wins at $0.04/1M input tokens. For speed, Molmo 72B is faster at ~350ms. DeepSeek V2.5 excels at General purpose 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
DeepSeek V2.5 costs $0.04/1M input tokens and $0.07/1M 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
DeepSeek V2.5 has a 128K context window with ~350ms latency. Molmo 72B offers 128K context at ~350ms. Both have identical context windows.
Best For
DeepSeek V2.5 (Open Source) is optimized for: General purpose, Code generation, Legacy apps. 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 DeepSeek V2.5
response_a = client.chat.completions.create(
model="deepseek-v2-5",
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, DeepSeek V2.5 or Molmo 72B?
DeepSeek V2.5 (Open Source, 236B (21B active)) offers Proven model. Molmo 72B (Vision, 72B) offers Fully open. Choose DeepSeek V2.5 for General purpose or Molmo 72B for Visual grounding.
How much does DeepSeek V2.5 cost vs Molmo 72B?
DeepSeek V2.5: $0.04/1M input, $0.07/1M 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 DeepSeek V2.5 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.