Gemini 3.1 Pro Preview
everyais/gemini-3-1-pro-preview
Gemini 3.1 Pro Preview (everyais/gemini-3-1-pro-preview) availability, capabilities, context limits, and public reference pricing on everyais.
You can also call it as: gemini-3-1-pro-preview, gemini-3.1-pro-preview
Model family geminiInput Text · ImageOutput Text
Available now
- Model type
- Chat
- Released
- 2026-02-19
- Price unit
- Per 1M tokens
- Context window
- 1.0M
- Maximum output
- 65,536
- Model reference price (USD)
Standard (≤200K)
- Input / 1M tokens
- $2
- Output / 1M tokens
- $12
- Cache read / 1M tokens
- $0.2
Long context (>200K, full request)
- Input / 1M tokens
- $4
- Output / 1M tokens
- $18
- Cache read / 1M tokens
- $0.4
- Web search reference price (USD)
- $0.014 /queryAdded to token pricing
Capabilities
- ✓ Streaming
- ✓ Tool use
- ✓ Vision
- ✓ JSON with tools
- ✓ Web search with tools
- ✓ JSON
- ✓ Reasoning
- ✓ Sampling controls
- ✓ Structured outputs
- ✓ Web search
Supported APIs
Usage and availability trend
Daily tokens
Insufficient sample — not enough requests to publish usage.
Daily availability (success rate %)
Insufficient sample — not enough requests to publish a success rate.
Code example
The API key is read from the EVERYAIS_API_KEY environment variable.
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["EVERYAIS_API_KEY"],
base_url="https://api.everyais.com/v1",
)
response = client.chat.completions.create(
model="everyais/gemini-3-1-pro-preview",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Related models
Compare models side by side
Compare capabilities, context windows, and reference prices to find a model for your use case. Your actual billed rate can differ by account.
Pricing and specs: public catalog · updated