WizardLM 2 8x22B vs Text Embedding 3 Small

Compare WizardLM 2 8x22B and Text Embedding 3 Small: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

All Microsoft models All OpenAI models What is an LLM API? Python Quickstart What is inference?
Feature WizardLM 2 8x22B Text Embedding 3 Small
CategoryOpen SourceEmbedding
Parameters176B (22B active)~200M
Context Window65K8K
Input Price$0.04/1M tokens$0.0002/1M tokens
Output Price$0.08/1M tokensN/A/1M tokens
Latency~350ms~10ms

Choose WizardLM 2 8x22B when:

  • ✓ Complex instructions
  • ✓ Math tasks
  • ✓ Structured output
Key Strengths:

Strong instruction following, Good math, MoE efficient

Choose Text Embedding 3 Small when:

  • ✓ Budget RAG
  • ✓ High-volume embedding
  • ✓ Simple search
Key Strengths:

Cheapest embedding, Very fast, Good quality for price

Verdict: WizardLM 2 8x22B vs Text Embedding 3 Small

For cost efficiency, Text Embedding 3 Small wins at $0.0002/1M input tokens. For speed, Text Embedding 3 Small is faster at ~10ms. WizardLM 2 8x22B excels at Complex instructions while Text Embedding 3 Small is better for Budget RAG. 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. Text Embedding 3 Small costs $0.0002 input and N/A output. Text Embedding 3 Small is 200.0x 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. Text Embedding 3 Small offers 8K context at ~10ms. WizardLM 2 8x22B has the larger context window.

Best For

WizardLM 2 8x22B (Open Source) is optimized for: Complex instructions, Math tasks, Structured output. Text Embedding 3 Small (Embedding) works best for: Budget RAG, High-volume embedding, Simple search.

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 Text Embedding 3 Small
response_b = client.chat.completions.create(
    model="text-embedding-3-small",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, WizardLM 2 8x22B or Text Embedding 3 Small?

WizardLM 2 8x22B (Open Source, 176B (22B active)) offers Strong instruction following. Text Embedding 3 Small (Embedding, ~200M) offers Cheapest embedding. Choose WizardLM 2 8x22B for Complex instructions or Text Embedding 3 Small for Budget RAG.

How much does WizardLM 2 8x22B cost vs Text Embedding 3 Small?

WizardLM 2 8x22B: $0.04/1M input, $0.08/1M output. Text Embedding 3 Small: $0.0002/1M input, N/A/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 Text Embedding 3 Small by changing the model parameter. No code changes needed.

Related Comparisons

WizardLM 2 8x22B vs Text Embedding 3 Large WizardLM 2 8x22B vs Gemma 3 27B WizardLM 2 8x22B vs Llama 4 Scout WizardLM 2 8x22B vs Llama 4 Maverick WizardLM 2 8x22B vs Llama 3.3 70B WizardLM 2 8x22B vs Llama 3.1 405B

Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.