Moduck

Google: Gemini 3.1 Pro Preview

Reasoning-first Gemini preview for agentic coding and complex problem solving

Model lab
Google
Model family
gemini-pro
Modalitiestext, image, video, audio, pdf → text
Context window1,048,576
Maximum output65,536
InputUSD 0.8 / 1M tokens
OutputUSD 4.8 / 1M tokens

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

TypePrice information
InputUSD 0.8 / 1M tokens
OutputUSD 4.8 / 1M tokens
ReasoningUSD 4.8 / 1M tokens
Cached inputUSD 0.08 / 1M tokens
Cache writeUSD 0.15 / 1M tokens

Benchmarks

Intelligence Index · v4.329.7
Coding Index68.8
Agentic Index8.2
BenchmarkScoreMeasurementSource
SWE-Bench Pro54.2resolve rate · Date: 2026-05-28
Terminal-Bench70.3success rate · Harness: Terminus-2 · Version: 2.1 · Date: 2026-05-28
SWE-Bench Pro46.1resolve rate · Dataset: public
SWE-Atlas Codebase QnA13.5score · Harness: Mini-SWE-Agent
SWE-Atlas Refactoring33.81score · Harness: Gemini CLI
SWE-Atlas Test Writing29.84score · Harness: Mini-SWE-Agent
Artificial Analysis Coding Agent Index43average pass@1 · Variant: high · Harness: Gemini CLI
SWE-Atlas Codebase QnA45.6pass@1 · Variant: high · Harness: Gemini CLI
SWE-Bench Pro15.1pass@1 · Dataset: hard-aa · Variant: high · Harness: Gemini CLI
Terminal-Bench68.3pass@1 · Variant: high · Harness: Gemini CLI · Version: 2.1
GPQA Diamond94.3accuracy · Date: 2026-04-23
Humanity's Last Exam44.4accuracy · Dataset: full set, text + MM · Date: 2026-05-19
ARC-AGI-277.1accuracy · Date: 2026-05-19
MMMU Pro80.5accuracy · Variant: no tools · Date: 2026-05-19
MCP Atlas78.2success rate · Date: 2026-05-19
OSWorld-Verified76.2success rate · Date: 2026-05-19
CharXiv Reasoning83.3accuracy · Variant: no tools · Date: 2026-05-19
GDPval-AA1,314Elo · Date: 2026-05-19

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

Output speed137.76 tokens/s
Time to first token16.75 s
Time to first answer token—
End-to-end response time—

Performance trends

Throughput137.76 tok/sCurrent
Time to first token16.75 sCurrent
End-to-end latency7.4 sCurrent
Throughput
Current137.76 tok/s
Window average136.3 tok/s
Time to first token
Current16.75 s
Window average19.2 s
End-to-end latency
Current7.4 s
Window average7.5 s
Tail latency (P99)
Current17.2 s
Window average17.1 s
Prompt cache hit rate
Current19.4%
Window average24.0%
Error rate
Current0.0%
Window average0.1%

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.

Uptime100%At least one provider responded
Availability100%Requests actually served
Error rate0%Share of failed requests
Served requests, hour by hour
24 hours agoNow

Gemini 3.1 Pro Preview Compare models

ModelInput priceOutput priceContext windowCapabilities
Gemini 3.1 Pro PreviewThis pageUSD 0.8 / 1M tokensUSD 4.8 / 1M tokens1,048,576Text output · Reasoning · Tool calling
Gemini 3.1 Pro Preview Custom ToolsUSD 1.6 / 1M tokens · Base context tier (boundary 200000 tokens)USD 9.6 / 1M tokens · Base context tier (boundary 200000 tokens)1,048,576Text output · Reasoning · Tool calling
Gemini 3 Pro PreviewUSD 1.6 / 1M tokens · Base context tier (boundary 200000 tokens)USD 9.6 / 1M tokens · Base context tier (boundary 200000 tokens)1,048,576Text output · Reasoning · Tool calling
Gemini 2.5 ProUSD 1 / 1M tokens · Base context tier (boundary 200000 tokens)USD 8 / 1M tokens · Base context tier (boundary 200000 tokens)1,048,576Text output · Reasoning · Tool calling
Gemini 2.5 Computer Use PreviewUSD 1 / 1M tokens · Base context tier (boundary 200000 tokens)USD 8 / 1M tokens · Base context tier (boundary 200000 tokens)128,000Text 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.