Whisper Large V3 vs Molmo 72B
Compare Whisper Large V3 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 | Whisper Large V3 | Molmo 72B |
|---|---|---|
| Category | Speech | Vision |
| Parameters | 1.55B | 72B |
| Context Window | 30s | 128K |
| Input Price | $0.01/min/1M tokens | $0.04/1M tokens |
| Output Price | N/A/1M tokens | $0.08/1M tokens |
| Latency | ~200ms | ~350ms |
Choose Whisper Large V3 when:
- ✓ Voice astrology apps
- ✓ Temple voice assistants
- ✓ Transcription
14+ Indian languages, Robust to accents, Real-time capable
Choose Molmo 72B when:
- ✓ Visual grounding
- ✓ Object detection
- ✓ Research
Fully open, Good pointing/grounding, Transparent
Verdict: Whisper Large V3 vs Molmo 72B
For cost efficiency, Whisper Large V3 wins at $0.01/min/1M input tokens. For speed, Whisper Large V3 is faster at ~200ms. Whisper Large V3 excels at Voice astrology apps 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
Whisper Large V3 costs $0.01/min/1M input tokens and N/A/1M output tokens. Molmo 72B costs $0.04 input and $0.08 output. Whisper Large V3 is 4.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Whisper Large V3 has a 30s context window with ~200ms latency. Molmo 72B offers 128K context at ~350ms. Molmo 72B has the larger context window.
Best For
Whisper Large V3 (Speech) is optimized for: Voice astrology apps, Temple voice assistants, Transcription. 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 Whisper Large V3
response_a = client.chat.completions.create(
model="whisper-large-v3",
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, Whisper Large V3 or Molmo 72B?
Whisper Large V3 (Speech, 1.55B) offers 14+ Indian languages. Molmo 72B (Vision, 72B) offers Fully open. Choose Whisper Large V3 for Voice astrology apps or Molmo 72B for Visual grounding.
How much does Whisper Large V3 cost vs Molmo 72B?
Whisper Large V3: $0.01/min/1M input, N/A/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 Whisper Large V3 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.