Gemini Robotics (2025) vs Physical Intelligence Pi-0-FAST: 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.
Gemini Robotics (2025) and Physical Intelligence Pi-0-FAST are closely matched on pricing and context. The right choice depends on your specific workload β see the table below for the full breakdown.
Side-by-side specs
| Spec | Gemini Robotics (2025) | Physical Intelligence Pi-0-FAST |
|---|---|---|
| Provider | xAI | |
| Category | VLA / Robotics | VLA / Robotics |
| Input cost / 1M tokens | Free | Free |
| Output cost / 1M tokens | Free | Free |
| Context window | β | β |
| Max output tokens | β | β |
| Avg. latency | β | β |
| Featured | β | β |
| New | β | β |
| Capabilities | image text | image text |
Pricing example
A typical chat workload of 100,000 input tokens plus 50,000 output tokens.
100K in Γ Free + 50K out Γ Free
100K in Γ Free + 50K out Γ Free
Switch in one line
Both models live behind Railwail's OpenAI-compatible endpoint. Replace the model string and you are done.
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.RAILWAIL_API_KEY,
baseURL: "https://railwail.com/v1",
});
// Before β using Gemini Robotics (2025)
let r = await client.chat.completions.create({
model: "gemini-robotics",
messages: [{ role: "user", content: "Hello" }],
});
// After β switched to Physical Intelligence Pi-0-FAST
r = await client.chat.completions.create({
model: "Physical-Intelligence/pi0-fast",
messages: [{ role: "user", content: "Hello" }],
});from openai import OpenAI
client = OpenAI(
api_key=os.environ["RAILWAIL_API_KEY"],
base_url="https://railwail.com/v1",
)
# Before β using Gemini Robotics (2025)
r = client.chat.completions.create(
model="gemini-robotics",
messages=[{"role": "user", "content": "Hello"}],
)
# After β switched to Physical Intelligence Pi-0-FAST
r = client.chat.completions.create(
model="Physical-Intelligence/pi0-fast",
messages=[{"role": "user", "content": "Hello"}],
)# Before β using Gemini Robotics (2025)
curl https://railwail.com/v1/chat/completions \
-H "Authorization: Bearer $RAILWAIL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-robotics",
"messages": [{"role": "user", "content": "Hello"}]
}'
# After β switched to Physical Intelligence Pi-0-FAST
curl https://railwail.com/v1/chat/completions \
-H "Authorization: Bearer $RAILWAIL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "Physical-Intelligence/pi0-fast",
"messages": [{"role": "user", "content": "Hello"}]
}'Which one wins for...
Quick verdicts derived from public specs. Always validate on your own workload.
Higher coding category match or larger context wins.
Bigger context window helps maintain long-form coherence.
The larger context window is the deciding factor.
Multimodal/vision support is required for image inputs.
Lower average latency wins for interactive UX.
The model with the lower input-token price wins.
Frequently asked questions
Try Gemini Robotics (2025) and Physical Intelligence Pi-0-FAST side by side
One API key, one endpoint, both models. Start free β no credit card required.