Cohere Embed v4 vs Molmo 72B
Compare Cohere Embed v4 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 | Cohere Embed v4 | Molmo 72B |
|---|---|---|
| Category | Embedding | Vision |
| Parameters | ~400M | 72B |
| Context Window | 128K | 128K |
| Input Price | $0.001/1M tokens | $0.04/1M tokens |
| Output Price | N/A/1M tokens | $0.08/1M tokens |
| Latency | ~15ms | ~350ms |
Choose Cohere Embed v4 when:
- ✓ Long document RAG
- ✓ Multimodal search
- ✓ Large knowledge bases
128K context, Multimodal embedding, Matryoshka
Choose Molmo 72B when:
- ✓ Visual grounding
- ✓ Object detection
- ✓ Research
Fully open, Good pointing/grounding, Transparent
Verdict: Cohere Embed v4 vs Molmo 72B
For cost efficiency, Cohere Embed v4 wins at $0.001/1M input tokens. For speed, Cohere Embed v4 is faster at ~15ms. Cohere Embed v4 excels at Long document RAG 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
Cohere Embed v4 costs $0.001/1M input tokens and N/A/1M output tokens. Molmo 72B costs $0.04 input and $0.08 output. Cohere Embed v4 is 40.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Cohere Embed v4 has a 128K context window with ~15ms latency. Molmo 72B offers 128K context at ~350ms. Both have identical context windows.
Best For
Cohere Embed v4 (Embedding) is optimized for: Long document RAG, Multimodal search, Large knowledge bases. 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 Cohere Embed v4
response_a = client.chat.completions.create(
model="embed-v4",
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, Cohere Embed v4 or Molmo 72B?
Cohere Embed v4 (Embedding, ~400M) offers 128K context. Molmo 72B (Vision, 72B) offers Fully open. Choose Cohere Embed v4 for Long document RAG or Molmo 72B for Visual grounding.
How much does Cohere Embed v4 cost vs Molmo 72B?
Cohere Embed v4: $0.001/1M 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 Cohere Embed v4 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.