Mistral Small 3 vs Molmo 72B
Compare Mistral Small 3 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 | Mistral Small 3 | Molmo 72B |
|---|---|---|
| Category | Compact | Vision |
| Parameters | 24B | 72B |
| Context Window | 32K | 128K |
| Input Price | $0.02/1M tokens | $0.04/1M tokens |
| Output Price | $0.04/1M tokens | $0.08/1M tokens |
| Latency | ~150ms | ~350ms |
Choose Mistral Small 3 when:
- ✓ Content classification
- ✓ Intent detection
- ✓ Preprocessing
Very fast, Low cost, Good classification
Choose Molmo 72B when:
- ✓ Visual grounding
- ✓ Object detection
- ✓ Research
Fully open, Good pointing/grounding, Transparent
Verdict: Mistral Small 3 vs Molmo 72B
For cost efficiency, Mistral Small 3 wins at $0.02/1M input tokens. For speed, Mistral Small 3 is faster at ~150ms. Mistral Small 3 excels at Content classification 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
Mistral Small 3 costs $0.02/1M input tokens and $0.04/1M output tokens. Molmo 72B costs $0.04 input and $0.08 output. Mistral Small 3 is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Mistral Small 3 has a 32K context window with ~150ms latency. Molmo 72B offers 128K context at ~350ms. Molmo 72B has the larger context window.
Best For
Mistral Small 3 (Compact) is optimized for: Content classification, Intent detection, Preprocessing. 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 Mistral Small 3
response_a = client.chat.completions.create(
model="mistral-small-3",
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, Mistral Small 3 or Molmo 72B?
Mistral Small 3 (Compact, 24B) offers Very fast. Molmo 72B (Vision, 72B) offers Fully open. Choose Mistral Small 3 for Content classification or Molmo 72B for Visual grounding.
How much does Mistral Small 3 cost vs Molmo 72B?
Mistral Small 3: $0.02/1M input, $0.04/1M 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 Mistral Small 3 and Molmo 72B by changing the model parameter. No code changes needed.
Related Comparisons
Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.