Google: Gemini 3.1 Pro Preview
Reasoning-first Gemini preview for agentic coding and complex problem solving
- Model lab
- Model family
- gemini-pro
Quickstart
Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to google/gemini-3.1-pro-preview.
import os
import requests
base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "google/gemini-3.1-pro-preview"
response = requests.post(
f"{base_url}/chat/completions",
headers={
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
},
json={
"model": model_id,
"messages": [{"role": "user", "content": "Hello!"}],
"stream": False,
},
timeout=60,
)
response.raise_for_status()
print(response.json())Use the familiar OpenAI-style chat request format to make model integration easier.
Gemini 3.1 Pro Preview API Pricing
| Type | Price information |
|---|---|
| Input | USD 0.8 / 1M tokens |
| Output | USD 4.8 / 1M tokens |
| Reasoning | USD 4.8 / 1M tokens |
| Cached input | USD 0.08 / 1M tokens |
| Cache write | USD 0.15 / 1M tokens |
Benchmarks
Performance
Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.
Artificial Analysis measurement
Performance trends
Availability
Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.
Gemini 3.1 Pro Preview Compare models
| Model | Input price | Output price | Context window | Capabilities |
|---|---|---|---|---|
| Gemini 3.1 Pro PreviewThis page | USD 0.8 / 1M tokens | USD 4.8 / 1M tokens | 1,048,576 | Text output · Reasoning · Tool calling |
| Gemini 3.1 Pro Preview Custom Tools | USD 1.6 / 1M tokens · Base context tier (boundary 200000 tokens) | USD 9.6 / 1M tokens · Base context tier (boundary 200000 tokens) | 1,048,576 | Text output · Reasoning · Tool calling |
| Gemini 3 Pro Preview | USD 1.6 / 1M tokens · Base context tier (boundary 200000 tokens) | USD 9.6 / 1M tokens · Base context tier (boundary 200000 tokens) | 1,048,576 | Text output · Reasoning · Tool calling |
| Gemini 2.5 Pro | USD 1 / 1M tokens · Base context tier (boundary 200000 tokens) | USD 8 / 1M tokens · Base context tier (boundary 200000 tokens) | 1,048,576 | Text output · Reasoning · Tool calling |
| Gemini 2.5 Computer Use Preview | USD 1 / 1M tokens · Base context tier (boundary 200000 tokens) | USD 8 / 1M tokens · Base context tier (boundary 200000 tokens) | 128,000 | Text output · Reasoning · Tool calling |
Model specifications
- Input
- text, image, video, audio, pdf
- Output
- text
- Context window
- 1,048,576
- Maximum output
- 65,536
- Release date
- 2026-02-19
- Attachments
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
- Structured output
- Yes
- Temperature setting
- Yes
- Open weights
- No
Frequently asked questions
What is Gemini 3.1 Pro Preview for?
Reasoning-first Gemini preview for agentic coding and complex problem solving
What inputs and outputs does Gemini 3.1 Pro Preview support?
Recorded inputs: text, images, video, audio, PDF; outputs: text.
How is Gemini 3.1 Pro Preview priced?
The pricing table shows the current recorded Moduck price. For example: Input USD 0.8 / 1M tokens; Output USD 4.8 / 1M tokens. See the pricing table for all units, variants, and conditions.
What specifications are recorded for Gemini 3.1 Pro Preview?
Current model records list Context window 1,048,576 tokens; Maximum output 65,536 tokens.
What model parameter does the Quickstart use?
The example uses google/gemini-3.1-pro-preview. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.
Can I call this model through the Moduck API now?
This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.