WizardLM 2 8x22B vs Qwen 3 14B
Compare WizardLM 2 8x22B and Qwen 3 14B: 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 | Qwen 3 14B |
|---|---|---|
| Category | Open Source | Compact |
| Parameters | 176B (22B active) | 14B |
| Context Window | 65K | 128K |
| Input Price | $0.04/1M tokens | $0.015/1M tokens |
| Output Price | $0.08/1M tokens | $0.03/1M tokens |
| Latency | ~350ms | ~100ms |
Choose WizardLM 2 8x22B when:
- ✓ Complex instructions
- ✓ Math tasks
- ✓ Structured output
Strong instruction following, Good math, MoE efficient
Choose Qwen 3 14B when:
- ✓ Moderate tasks
- ✓ Fast chatbots
- ✓ Budget apps
Good reasoning for size, Fast, 128K context
Verdict: WizardLM 2 8x22B vs Qwen 3 14B
For cost efficiency, Qwen 3 14B wins at $0.015/1M input tokens. For speed, Qwen 3 14B is faster at ~100ms. WizardLM 2 8x22B excels at Complex instructions while Qwen 3 14B is better for Moderate tasks. 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. Qwen 3 14B costs $0.015 input and $0.03 output. Qwen 3 14B is 2.7x 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. Qwen 3 14B offers 128K context at ~100ms. Qwen 3 14B has the larger context window.
Best For
WizardLM 2 8x22B (Open Source) is optimized for: Complex instructions, Math tasks, Structured output. Qwen 3 14B (Compact) works best for: Moderate tasks, Fast chatbots, Budget apps.
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 Qwen 3 14B
response_b = client.chat.completions.create(
model="qwen-3-14b",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, WizardLM 2 8x22B or Qwen 3 14B?
WizardLM 2 8x22B (Open Source, 176B (22B active)) offers Strong instruction following. Qwen 3 14B (Compact, 14B) offers Good reasoning for size. Choose WizardLM 2 8x22B for Complex instructions or Qwen 3 14B for Moderate tasks.
How much does WizardLM 2 8x22B cost vs Qwen 3 14B?
WizardLM 2 8x22B: $0.04/1M input, $0.08/1M output. Qwen 3 14B: $0.015/1M input, $0.03/1M 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 Qwen 3 14B 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.