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Grok 4.3 vs Text Embedding 3 Small: Which AI Model Should You Choose?

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

xAI
Multimodal
vs
OpenAI
Embeddings
Verdict

Choose Grok 4.3 for cost-sensitive workloads — it is roughly 200.0× cheaper on input tokens. Choose Text Embedding 3 Small when you need its broader capabilities or stronger benchmarks.

These models serve different use cases (Multimodal vs Embeddings) — pick the one whose category matches your workload.

Side-by-side specs

SpecGrok 4.3Text Embedding 3 Small
ProviderxAIOpenAI
CategoryMultimodalEmbeddings
Input cost / 1M tokens€0.0010€0.200
Output cost / 1M tokens€0.0030Free
Context window1.0M tokens—
Max output tokens1,000,000—
Avg. latency—500ms
FeaturedYes—
NewYes—
Capabilities
text
image
—

Pricing example

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

Grok 4.3
€0.0003

100K in × €0.0010 + 50K out × €0.0030

Text Embedding 3 Small
€0.0200

100K in × €0.200 + 50K out × Free

For this workload, Grok 4.3 is cheaper than Text Embedding 3 Small by €0.0198 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 — using Grok 4.3
let r = await client.chat.completions.create({
  model: "grok-4.3",
  messages: [{ role: "user", content: "Hello" }],
});

// After — switched to Text Embedding 3 Small
r = await client.chat.completions.create({
  model: "text-embedding-3-small",
  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 — using Grok 4.3
r = client.chat.completions.create(
    model="grok-4.3",
    messages=[{"role": "user", "content": "Hello"}],
)

# After — switched to Text Embedding 3 Small
r = client.chat.completions.create(
    model="text-embedding-3-small",
    messages=[{"role": "user", "content": "Hello"}],
)
cURL
# Before — using Grok 4.3
curl https://railwail.com/v1/chat/completions \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "grok-4.3",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

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

Which one wins for...

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

Coding
Grok 4.3

Higher coding category match or larger context wins.

Writing
Grok 4.3

Bigger context window helps maintain long-form coherence.

Long documents
Grok 4.3

The larger context window is the deciding factor.

Vision
Grok 4.3

Multimodal/vision support is required for image inputs.

Real-time chat
Text Embedding 3 Small

Lower average latency wins for interactive UX.

Cost-sensitive
Grok 4.3

The model with the lower input-token price wins.

Frequently asked questions

Which is cheaper, Grok 4.3 or Text Embedding 3 Small?
Grok 4.3 is cheaper. On a 100K input + 50K output example, Grok 4.3 costs about €0.0003 versus €0.0200 for Text Embedding 3 Small — a saving of €0.0198.
Which has more context, Grok 4.3 or Text Embedding 3 Small?
Grok 4.3 has the larger context window at 1.0M tokens, compared to — for Text Embedding 3 Small.
Is Grok 4.3 better than Text Embedding 3 Small for coding?
For coding-heavy workloads we lean toward Grok 4.3 on this comparison — 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 Grok 4.3 and Text Embedding 3 Small via Railwail?
Yes. Both Grok 4.3 and Text Embedding 3 Small 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 — no SDK swap, no separate billing.
How do I switch from Grok 4.3 to Text Embedding 3 Small?
Replace the model identifier "grok-4.3" with "text-embedding-3-small" in your request payload. Everything else — API key, base URL, request shape — stays the same. See the code example on this page for the exact one-line change.

Try Grok 4.3 and Text Embedding 3 Small side by side

One API key, one endpoint, both models. Start free — no credit card required.

Get Started FreeView Grok 4.3View Text Embedding 3 Small