Grok 3 vs Text Embedding 3 Small
Compare Grok 3 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
| Feature | Grok 3 | Text Embedding 3 Small |
|---|---|---|
| Category | Frontier | Embedding |
| Parameters | ~800B | ~200M |
| Context Window | 128K | 8K |
| Input Price | $0.10/1M tokens | $0.0002/1M tokens |
| Output Price | $0.25/1M tokens | N/A/1M tokens |
| Latency | ~500ms | ~10ms |
Choose Grok 3 when:
- ✓ Transit predictions
- ✓ Creative interpretations
- ✓ Research
Strong reasoning, Real-time knowledge, Creative output
Choose Text Embedding 3 Small when:
- ✓ Budget RAG
- ✓ High-volume embedding
- ✓ Simple search
Cheapest embedding, Very fast, Good quality for price
Verdict: Grok 3 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. Grok 3 excels at Transit predictions 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
Grok 3 costs $0.10/1M input tokens and $0.25/1M output tokens. Text Embedding 3 Small costs $0.0002 input and N/A output. Text Embedding 3 Small is 500.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Grok 3 has a 128K context window with ~500ms latency. Text Embedding 3 Small offers 8K context at ~10ms. Grok 3 has the larger context window.
Best For
Grok 3 (Frontier) is optimized for: Transit predictions, Creative interpretations, Research. 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 Grok 3
response_a = client.chat.completions.create(
model="grok-3",
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"}]
)Frequently Asked Questions
Which is better, Grok 3 or Text Embedding 3 Small?
Grok 3 (Frontier, ~800B) offers Strong reasoning. Text Embedding 3 Small (Embedding, ~200M) offers Cheapest embedding. Choose Grok 3 for Transit predictions or Text Embedding 3 Small for Budget RAG.
How much does Grok 3 cost vs Text Embedding 3 Small?
Grok 3: $0.10/1M input, $0.25/1M 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 Grok 3 and Text Embedding 3 Small 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.