DeepSeek R1 Distill 8B vs WizardLM 2 8x22B
Compare DeepSeek R1 Distill 8B 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 | DeepSeek R1 Distill 8B | WizardLM 2 8x22B |
|---|---|---|
| Category | Reasoning | Open Source |
| Parameters | 8B | 176B (22B active) |
| Context Window | 128K | 65K |
| Input Price | $0.01/1M tokens | $0.04/1M tokens |
| Output Price | $0.02/1M tokens | $0.08/1M tokens |
| Latency | ~100ms | ~350ms |
Choose DeepSeek R1 Distill 8B when:
- ✓ Simple reasoning
- ✓ Classification with logic
- ✓ Edge
Very fast reasoning, Low cost, Compact
Choose WizardLM 2 8x22B when:
- ✓ Complex instructions
- ✓ Math tasks
- ✓ Structured output
Strong instruction following, Good math, MoE efficient
Verdict: DeepSeek R1 Distill 8B vs WizardLM 2 8x22B
For cost efficiency, DeepSeek R1 Distill 8B wins at $0.01/1M input tokens. For speed, DeepSeek R1 Distill 8B is faster at ~100ms. DeepSeek R1 Distill 8B excels at Simple reasoning 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
DeepSeek R1 Distill 8B costs $0.01/1M input tokens and $0.02/1M output tokens. WizardLM 2 8x22B costs $0.04 input and $0.08 output. DeepSeek R1 Distill 8B is 4.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
DeepSeek R1 Distill 8B has a 128K context window with ~100ms latency. WizardLM 2 8x22B offers 65K context at ~350ms. DeepSeek R1 Distill 8B has the larger context window.
Best For
DeepSeek R1 Distill 8B (Reasoning) is optimized for: Simple reasoning, Classification with logic, Edge. 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 DeepSeek R1 Distill 8B
response_a = client.chat.completions.create(
model="deepseek-r1-distill-8b",
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, DeepSeek R1 Distill 8B or WizardLM 2 8x22B?
DeepSeek R1 Distill 8B (Reasoning, 8B) offers Very fast reasoning. WizardLM 2 8x22B (Open Source, 176B (22B active)) offers Strong instruction following. Choose DeepSeek R1 Distill 8B for Simple reasoning or WizardLM 2 8x22B for Complex instructions.
How much does DeepSeek R1 Distill 8B cost vs WizardLM 2 8x22B?
DeepSeek R1 Distill 8B: $0.01/1M input, $0.02/1M 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 DeepSeek R1 Distill 8B 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.