Voyage Large 2 vs Dolphin 2.9.3 72B
Compare Voyage Large 2 and Dolphin 2.9.3 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 | Voyage Large 2 | Dolphin 2.9.3 72B |
|---|---|---|
| Category | Embedding | Open Source |
| Parameters | ~500M | 72B |
| Context Window | 16K | 128K |
| Input Price | $0.002/1M tokens | $0.04/1M tokens |
| Output Price | N/A/1M tokens | $0.08/1M tokens |
| Latency | ~25ms | ~350ms |
Choose Voyage Large 2 when:
- ✓ Code search
- ✓ Long document RAG
- ✓ Semantic matching
16K context, High quality, Good for code
Choose Dolphin 2.9.3 72B when:
- ✓ Creative writing
- ✓ Unrestricted generation
- ✓ Research
Uncensored, Strong instruction following, Versatile
Verdict: Voyage Large 2 vs Dolphin 2.9.3 72B
For cost efficiency, Voyage Large 2 wins at $0.002/1M input tokens. For speed, Voyage Large 2 is faster at ~25ms. Voyage Large 2 excels at Code search while Dolphin 2.9.3 72B is better for Creative writing. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
Voyage Large 2 costs $0.002/1M input tokens and N/A/1M output tokens. Dolphin 2.9.3 72B costs $0.04 input and $0.08 output. Voyage Large 2 is 20.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Voyage Large 2 has a 16K context window with ~25ms latency. Dolphin 2.9.3 72B offers 128K context at ~350ms. Dolphin 2.9.3 72B has the larger context window.
Best For
Voyage Large 2 (Embedding) is optimized for: Code search, Long document RAG, Semantic matching. Dolphin 2.9.3 72B (Open Source) works best for: Creative writing, Unrestricted generation, 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 Voyage Large 2
response_a = client.chat.completions.create(
model="voyage-large-2",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Dolphin 2.9.3 72B
response_b = client.chat.completions.create(
model="dolphin-2-9-3-72b",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, Voyage Large 2 or Dolphin 2.9.3 72B?
Voyage Large 2 (Embedding, ~500M) offers 16K context. Dolphin 2.9.3 72B (Open Source, 72B) offers Uncensored. Choose Voyage Large 2 for Code search or Dolphin 2.9.3 72B for Creative writing.
How much does Voyage Large 2 cost vs Dolphin 2.9.3 72B?
Voyage Large 2: $0.002/1M input, N/A/1M output. Dolphin 2.9.3 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 Voyage Large 2 and Dolphin 2.9.3 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.