Phi-3.5 Mini vs Text Embedding 3 Small

Compare Phi-3.5 Mini 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 Phi-3.5 Mini Text Embedding 3 Small
CategoryCompactEmbedding
Parameters3.8B~200M
Context Window128K8K
Input Price$0.005/1M tokens$0.0002/1M tokens
Output Price$0.01/1M tokensN/A/1M tokens
Latency~50ms~10ms

Choose Phi-3.5 Mini when:

  • ✓ Simple Q&A
  • ✓ Classification
  • ✓ Edge inference
Key Strengths:

128K context in tiny model, Ultra-low cost, Fast

Choose Text Embedding 3 Small when:

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

Cheapest embedding, Very fast, Good quality for price

Verdict: Phi-3.5 Mini 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. Phi-3.5 Mini excels at Simple Q&A 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

Phi-3.5 Mini costs $0.005/1M input tokens and $0.01/1M output tokens. Text Embedding 3 Small costs $0.0002 input and N/A output. Text Embedding 3 Small is 25.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Phi-3.5 Mini has a 128K context window with ~50ms latency. Text Embedding 3 Small offers 8K context at ~10ms. Phi-3.5 Mini has the larger context window.

Best For

Phi-3.5 Mini (Compact) is optimized for: Simple Q&A, Classification, Edge inference. 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 Phi-3.5 Mini
response_a = client.chat.completions.create(
    model="phi-3-5-mini",
    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, Phi-3.5 Mini or Text Embedding 3 Small?

Phi-3.5 Mini (Compact, 3.8B) offers 128K context in tiny model. Text Embedding 3 Small (Embedding, ~200M) offers Cheapest embedding. Choose Phi-3.5 Mini for Simple Q&A or Text Embedding 3 Small for Budget RAG.

How much does Phi-3.5 Mini cost vs Text Embedding 3 Small?

Phi-3.5 Mini: $0.005/1M input, $0.01/1M 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 Phi-3.5 Mini and Text Embedding 3 Small by changing the model parameter. No code changes needed.

Related Comparisons

Phi-3.5 Mini vs GPT-4.1 Nano Phi-3.5 Mini vs GPT-4o Mini Phi-3.5 Mini vs Text Embedding 3 Large Phi-3.5 Mini vs Claude Haiku 3.5 Phi-3.5 Mini vs Gemma 3 12B Phi-3.5 Mini vs Gemma 3 4B

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