Voyage AI voyage-3 vs Text Embedding 3 Large: Which AI Model Should You Choose?

Pricing, context windows, latency, capabilities, and a one-line code switch β€” everything you need to pick the right model.

xAI
Embeddings
vs
OpenAI
Embeddings
Verdict

Choose Voyage AI voyage-3 for cost-sensitive workloads β€” it is roughly 21.7Γ— cheaper on input tokens. Choose Text Embedding 3 Large when you need its broader capabilities or stronger benchmarks.

Side-by-side specs

SpecVoyage AI voyage-3Text Embedding 3 Large
ProviderxAIOpenAI
CategoryEmbeddingsEmbeddings
Input cost / 1M tokens€0.060€1.30
Output cost / 1M tokensFreeFree
Context window32K tokensβ€”
Max output tokensβ€”β€”
Avg. latencyβ€”600ms
FeaturedYesYes
Newβ€”β€”
Capabilities
text
β€”

Pricing example

A typical chat workload of 100,000 input tokens plus 50,000 output tokens.

Voyage AI voyage-3
€0.0060

100K in Γ— €0.060 + 50K out Γ— Free

Text Embedding 3 Large
€0.1300

100K in Γ— €1.30 + 50K out Γ— Free

For this workload, Voyage AI voyage-3 is cheaper than Text Embedding 3 Large by €0.1240 per request.

Switch in one line

Both models live behind Railwail's OpenAI-compatible endpoint. Replace the model string and you are done.

JavaScript / TypeScript
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.RAILWAIL_API_KEY,
  baseURL: "https://railwail.com/v1",
});

// Before β€” using Voyage AI voyage-3
let r = await client.chat.completions.create({
  model: "voyage-3",
  messages: [{ role: "user", content: "Hello" }],
});

// After β€” switched to Text Embedding 3 Large
r = await client.chat.completions.create({
  model: "text-embedding-3-large",
  messages: [{ role: "user", content: "Hello" }],
});
Python
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["RAILWAIL_API_KEY"],
    base_url="https://railwail.com/v1",
)

# Before β€” using Voyage AI voyage-3
r = client.chat.completions.create(
    model="voyage-3",
    messages=[{"role": "user", "content": "Hello"}],
)

# After β€” switched to Text Embedding 3 Large
r = client.chat.completions.create(
    model="text-embedding-3-large",
    messages=[{"role": "user", "content": "Hello"}],
)
cURL
# Before β€” using Voyage AI voyage-3
curl https://railwail.com/v1/chat/completions \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "voyage-3",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

# After β€” switched to Text Embedding 3 Large
curl https://railwail.com/v1/chat/completions \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "text-embedding-3-large",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Which one wins for...

Quick verdicts derived from public specs. Always validate on your own workload.

Coding
Voyage AI voyage-3

Higher coding category match or larger context wins.

Writing
Voyage AI voyage-3

Bigger context window helps maintain long-form coherence.

Long documents
Voyage AI voyage-3

The larger context window is the deciding factor.

Vision
Tie

Multimodal/vision support is required for image inputs.

Real-time chat
Text Embedding 3 Large

Lower average latency wins for interactive UX.

Cost-sensitive
Voyage AI voyage-3

The model with the lower input-token price wins.

Frequently asked questions

Which is cheaper, Voyage AI voyage-3 or Text Embedding 3 Large?
Voyage AI voyage-3 is cheaper. On a 100K input + 50K output example, Voyage AI voyage-3 costs about €0.0060 versus €0.1300 for Text Embedding 3 Large β€” a saving of €0.1240.
Which has more context, Voyage AI voyage-3 or Text Embedding 3 Large?
Voyage AI voyage-3 has the larger context window at 32K tokens, compared to β€” for Text Embedding 3 Large.
Is Voyage AI voyage-3 better than Text Embedding 3 Large for coding?
For coding-heavy workloads we lean toward Voyage AI voyage-3 on this comparison β€” it scores higher on the relevant heuristics (category, tags, or context window). Both models are usable for code via Railwail's OpenAI-compatible endpoint, so the safest path is to A/B test on your own prompts.
Can I use both Voyage AI voyage-3 and Text Embedding 3 Large via Railwail?
Yes. Both Voyage AI voyage-3 and Text Embedding 3 Large are accessible through a single Railwail API key and the OpenAI-compatible /v1/chat/completions endpoint. You only change the "model" parameter to switch between them β€” no SDK swap, no separate billing.
How do I switch from Voyage AI voyage-3 to Text Embedding 3 Large?
Replace the model identifier "voyage-3" with "text-embedding-3-large" in your request payload. Everything else β€” API key, base URL, request shape β€” stays the same. See the code example on this page for the exact one-line change.

Try Voyage AI voyage-3 and Text Embedding 3 Large side by side

One API key, one endpoint, both models. Start free β€” no credit card required.