WizardLM 2 8x22B vs o3 Pro
Compare WizardLM 2 8x22B and o3 Pro: 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 | WizardLM 2 8x22B | o3 Pro |
|---|---|---|
| Category | Open Source | Reasoning |
| Parameters | 176B (22B active) | ~1T |
| Context Window | 65K | 200K |
| Input Price | $0.04/1M tokens | $0.15/1M tokens |
| Output Price | $0.08/1M tokens | $0.60/1M tokens |
| Latency | ~350ms | ~5000ms |
Choose WizardLM 2 8x22B when:
- ✓ Complex instructions
- ✓ Math tasks
- ✓ Structured output
Strong instruction following, Good math, MoE efficient
Choose o3 Pro when:
- ✓ Research-grade reasoning
- ✓ Mathematical proofs
- ✓ Hardest problems
Deepest reasoning, Best for hard problems, Highest accuracy
Verdict: WizardLM 2 8x22B vs o3 Pro
For cost efficiency, WizardLM 2 8x22B wins at $0.04/1M input tokens. For speed, WizardLM 2 8x22B is faster at ~350ms. WizardLM 2 8x22B excels at Complex instructions while o3 Pro is better for Research-grade reasoning. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
WizardLM 2 8x22B costs $0.04/1M input tokens and $0.08/1M output tokens. o3 Pro costs $0.15 input and $0.60 output. WizardLM 2 8x22B is 3.8x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
WizardLM 2 8x22B has a 65K context window with ~350ms latency. o3 Pro offers 200K context at ~5000ms. o3 Pro has the larger context window.
Best For
WizardLM 2 8x22B (Open Source) is optimized for: Complex instructions, Math tasks, Structured output. o3 Pro (Reasoning) works best for: Research-grade reasoning, Mathematical proofs, Hardest problems.
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 WizardLM 2 8x22B
response_a = client.chat.completions.create(
model="wizardlm-2-8x22b",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use o3 Pro
response_b = client.chat.completions.create(
model="o3-pro",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, WizardLM 2 8x22B or o3 Pro?
WizardLM 2 8x22B (Open Source, 176B (22B active)) offers Strong instruction following. o3 Pro (Reasoning, ~1T) offers Deepest reasoning. Choose WizardLM 2 8x22B for Complex instructions or o3 Pro for Research-grade reasoning.
How much does WizardLM 2 8x22B cost vs o3 Pro?
WizardLM 2 8x22B: $0.04/1M input, $0.08/1M output. o3 Pro: $0.15/1M input, $0.60/1M 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 WizardLM 2 8x22B and o3 Pro 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.