Voyage Large 2 vs WizardLM 2 8x22B
Compare Voyage Large 2 and WizardLM 2 8x22B: 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 | WizardLM 2 8x22B |
|---|---|---|
| Category | Embedding | Open Source |
| Parameters | ~500M | 176B (22B active) |
| Context Window | 16K | 65K |
| 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 WizardLM 2 8x22B when:
- ✓ Complex instructions
- ✓ Math tasks
- ✓ Structured output
Strong instruction following, Good math, MoE efficient
Verdict: Voyage Large 2 vs WizardLM 2 8x22B
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 WizardLM 2 8x22B is better for Complex instructions. 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. WizardLM 2 8x22B 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. WizardLM 2 8x22B offers 65K context at ~350ms. WizardLM 2 8x22B has the larger context window.
Best For
Voyage Large 2 (Embedding) is optimized for: Code search, Long document RAG, Semantic matching. WizardLM 2 8x22B (Open Source) works best for: Complex instructions, Math tasks, Structured output.
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 WizardLM 2 8x22B
response_b = client.chat.completions.create(
model="wizardlm-2-8x22b",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Voyage Large 2 or WizardLM 2 8x22B?
Voyage Large 2 (Embedding, ~500M) offers 16K context. WizardLM 2 8x22B (Open Source, 176B (22B active)) offers Strong instruction following. Choose Voyage Large 2 for Code search or WizardLM 2 8x22B for Complex instructions.
How much does Voyage Large 2 cost vs WizardLM 2 8x22B?
Voyage Large 2: $0.002/1M input, N/A/1M output. WizardLM 2 8x22B: $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 WizardLM 2 8x22B 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.