Gemini 3.1 PRO Preview Customtools
everyais/gemini-3-1-pro-preview-customtools
Gemini 3.1 PRO Preview Customtools (everyais/gemini-3-1-pro-preview-customtools) availability, capabilities, context limits, and public reference pricing on everyais.
Model family geminiInput Text · ImageOutput Text
Available now
Method
The page starts with current public catalog metadata and reference costs; operational metrics are added only when measured samples are available.
Source and update
GET /models/catalogUpdated
- Model type
- Chat
- Released
- 2026-02-19
- Context window
- 1.0M
- Price unit
- Per 1M tokens
- Maximum output
- 65,536
- Model reference price (USD)
- Standard (≤200K): Input $2 · Output $12 /1M · Long context (>200K, full request): Input $4 · Output $18 /1M
- Cache reference price (USD)
- Cache read $0.2 /1M
- Web search reference price (USD)
- $0.014 /queryAdded to token pricing
Capabilities
- ✓ Streaming
- ✓ Tool use
- ✓ Vision
- ✓ json_mode_with_tools
- ✓ web_search_with_tools
- ✓ JSON
- ✓ Reasoning
- ✓ sampling
- ✓ structured_outputs
- ✓ Web search
Supported endpoints
- /v1/chat/completions
Usage and availability trend
Daily tokensInputOutput
Last 14 days · 2026-09-08 Input 4,350 · Output 1,599 tokens.
Daily availability (success rate %)
Insufficient sample — not enough requests to publish a success rate.
Code example
Use the OpenAI SDK by changing only base_url.
from openai import OpenAI
client = OpenAI(
api_key="everyais_...",
base_url="https://api.everyais.com/v1",
)
response = client.chat.completions.create(
model="everyais/gemini-3-1-pro-preview-customtools",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Other models in this family
Estimate this model's monthly cost
For token-priced models, estimate USD catalog reference cost from monthly requests and average input/output tokens. Your actual billed rate can differ by account.