GPT-4.1 vs Text Embedding 3 Large

Compare GPT-4.1 and Text Embedding 3 Large: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

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

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Feature GPT-4.1 Text Embedding 3 Large
CategoryFrontierEmbedding
Parameters~1.8T~500M
Context Window1M8K
Input Price$0.10/1M tokens$0.002/1M tokens
Output Price$0.30/1M tokensN/A/1M tokens
Latency~500ms~20ms

Choose GPT-4.1 when:

  • ✓ Complex reports
  • ✓ Code generation
  • ✓ Enterprise workflows
Key Strengths:

1M context, Best instruction following, Best coding

Choose Text Embedding 3 Large when:

  • ✓ Semantic search
  • ✓ Knowledge retrieval
  • ✓ Similarity matching
Key Strengths:

3072 dimensions, Superior semantic quality, Matryoshka support

Verdict: GPT-4.1 vs Text Embedding 3 Large

For cost efficiency, Text Embedding 3 Large wins at $0.002/1M input tokens. For speed, Text Embedding 3 Large is faster at ~20ms. GPT-4.1 excels at Complex reports while Text Embedding 3 Large is better for Semantic search. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

GPT-4.1 costs $0.10/1M input tokens and $0.30/1M output tokens. Text Embedding 3 Large costs $0.002 input and N/A output. Text Embedding 3 Large is 50.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

GPT-4.1 has a 1M context window with ~500ms latency. Text Embedding 3 Large offers 8K context at ~20ms. GPT-4.1 has the larger context window.

Best For

GPT-4.1 (Frontier) is optimized for: Complex reports, Code generation, Enterprise workflows. Text Embedding 3 Large (Embedding) works best for: Semantic search, Knowledge retrieval, Similarity matching.

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 GPT-4.1
response_a = client.chat.completions.create(
    model="gpt-4-1",
    messages=[{"role": "user", "content": "Your question here"}]
)

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

Start Building with XALEN

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, GPT-4.1 or Text Embedding 3 Large?

GPT-4.1 (Frontier, ~1.8T) offers 1M context. Text Embedding 3 Large (Embedding, ~500M) offers 3072 dimensions. Choose GPT-4.1 for Complex reports or Text Embedding 3 Large for Semantic search.

How much does GPT-4.1 cost vs Text Embedding 3 Large?

GPT-4.1: $0.10/1M input, $0.30/1M output. Text Embedding 3 Large: $0.002/1M 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 GPT-4.1 and Text Embedding 3 Large 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.