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Gemini 3.1 Pro

Masukan:$1.6/M
Keluaran:$9.6/M
Dilancarkan:Feb 18, 2026

Gemini 3.1 Pro is the next generation in the Gemini series of models, a suite of highly-capable, natively multimodal, reasoning models. Gemini 3 Pro is now Googleโ€™s most advanced model for complex tasks, and can comprehend vast datasets, challenging problems from different information sources, including text, audio, images, video, and entire code repositories

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Penggunaan komersial

Playground untuk Gemini 3.1 Pro

Terokai Playground Gemini 3.1 Pro โ€” persekitaran interaktif untuk menguji model dan menjalankan pertanyaan dalam masa nyata. Cuba prompt, laraskan parameter, dan ulangi serta-merta untuk mempercepatkan pembangunan dan mengesahkan kes penggunaan.

Technical specifications โ€” Gemini 3.1 Pro

Itemgemini-3-pro (public summary)
ProviderGoogle
Canonical model idgemini-3-pro (public preview)
Input typesText, Image, Video, Audio, PDF
Output typesText (natural language, structured outputs, function-call payloads)
Input token limit (context)1,048,576 tokens
Output token limit65,536 tokens
Function-calling / tool useSupported (function calling, structured outputs, tool integrations)
MultimodalityFull multimodal support (images, video, audio, documents)
Code execution & agentic flowsSupported (agent mode, code assist, tool orchestration)
Knowledge cutoffJanuary 2025

What is Gemini 3.1 Pro ?

Gemini 3.1 Pro is Googleโ€™s publicly flagship in the Gemini 3 family, positioned as a state-of-the-art multimodal reasoning model with advanced agentic and developer tooling. The model emphasizes high-capacity context handling (over 1M token inputs), broad media support (images, video, audio, PDF), and deep integrations for tool use, function calling, and code-centric workflows (e.g., Gemini Code Assist and agent modes).

Gemini 3 Pro is presented by Google as optimized for both interactive developer experiences (low-latency coding and agent workflows) and high-fidelity multimodal understanding (interpreting and reasoning across mixed media inputs).

Main Features of Gemini 3.1 Pro

Gemini-3.1 Pro (via its Preview) introduces the following features:

Multimodal Integration

Processes inputs across:

  • Natural language
  • Images
  • Speech/audio
  • Video

with a unified token representation for cross-modal reasoning.

Extended Context Window

An exceptionally large context capacity of up to ~1 million tokens enables handling of:

  • Long documents
  • Multidocument synthesis
  • Codebases and transcripts.

This surpasses many competing models that typically support ~32 Kโ€“262 K tokens.

Sparse Mixture-of-Experts (MoE) Scaling

Sparse MoE routing allows scaling internal model capacity without proportional compute costs, improving reasoning at scale.

Advanced Reasoning / Planning

Innovations like chain-of-thought training, reinforcement learning from human feedback, and specialized benchmarks make it strong on logical and mathematical tasks.

Supposed benchmarks:

AIME 2025: 100% (with code execution)
SWE-Bench Verified: 83.9%
ARC-AGI-2: 71.8%
LiveCodeBench Pro: 2844 Elo
Terminal-Bench 2.0: 63.5%
MMMLU: 93.6%

Representative enterprise use cases

  • End-to-end media pipelines: Ingest video, transcript, and images to produce synchronized summaries, metadata, and structured insight at scale.
  • Large-scale code generation and review: Use in IDEs and CI pipelines to auto-generate code, refactor multi-file projects, and produce test suggestions across large codebases.
  • Agentic automation: Coordinate multi-tool agents that interact with cloud services, orchestration systems, and internal APIs using structured function calls.
  • Research & content production: Draft long-form content (reports, books) that combine text and embedded multimedia with internal cross-references preserved.

How to access Gemini 3.1 Pro API

Step 1: Sign Up for API Key

Log in toย cometapi.com. If you are not our user yet, please register first. Sign into yourย CometAPI console. Get the access credential API key of the interface. Click โ€œAdd Tokenโ€ at the API token in the personal center, get the token key: sk-xxxxx and submit.

Step 2: Send Requests to Gemini 3.1 Pro API

Select the โ€œgemini-3.1-proโ€ endpoint to send the API request and set the request body. The request method and request body are obtained from our website API doc. Our website also provides Apifox test for your convenience. Replace <YOUR_API_KEY> with your actual CometAPI key from your account. base url isย Gemini Generating Contentย andย Chat.

Insert your question or request into the content fieldโ€”this is what the model will respond to . Process the API response to get the generated answer.

Step 3: Retrieve and Verify Results

Process the API response to get the generated answer. After processing, the API responds with the task status and output data.

See alsoย Gemini 3 Pro API

Soalan Lazim

Harga untuk Gemini 3.1 Pro

Terokai harga yang kompetitif untuk Gemini 3.1 Pro, direka bentuk untuk memenuhi pelbagai bajet dan keperluan penggunaan. Pelan fleksibel kami memastikan anda hanya membayar untuk apa yang anda gunakan, menjadikannya mudah untuk meningkatkan skala apabila keperluan anda berkembang. Temui bagaimana Gemini 3.1 Pro boleh meningkatkan projek anda sambil mengekalkan kos yang terurus.

ModelComet Price (USD / M Tokens)Official Price (USD / M Tokens)Discount
gemini-3.1-pro-preview
Masukan:$1.6/M
Keluaran:$9.6/M
Masukan:$2/M
Keluaran:$12/M
-20%

Kod contoh dan API untuk Gemini 3.1 Pro

Akses kod sampel yang komprehensif dan sumber API untuk Gemini 3.1 Pro bagi memperlancar proses integrasi anda. Dokumentasi terperinci kami menyediakan panduan langkah demi langkah, membantu anda memanfaatkan potensi penuh Gemini 3.1 Pro dalam projek anda.

curl "https://api.cometapi.com/v1beta/models/gemini-3.1-pro-preview:generateContent" \
  -H "Authorization: $COMETAPI_KEY" \
  -H 'Content-Type: application/json' \
  -X POST \
  -d '{
    "contents": [
      {
        "parts": [
          {
            "text": "Explain how AI works in a few words"
          }
        ]
      }
    ]
  }'

cURL Code Example

curl "https://api.cometapi.com/v1beta/models/gemini-3.1-pro-preview:generateContent" \
  -H "Authorization: $COMETAPI_KEY" \
  -H 'Content-Type: application/json' \
  -X POST \
  -d '{
    "contents": [
      {
        "parts": [
          {
            "text": "Explain how AI works in a few words"
          }
        ]
      }
    ]
  }'

Python Code Example

from google import genai
import os

# Get your CometAPI key from https://www.cometapi.com/console/token, and paste it here
COMETAPI_KEY = os.environ.get("COMETAPI_KEY") or "<YOUR_COMETAPI_KEY>"
BASE_URL = "https://api.cometapi.com"

client = genai.Client(
    http_options={"api_version": "v1beta", "base_url": BASE_URL},
    api_key=COMETAPI_KEY,
)

response = client.models.generate_content(
    model="gemini-3.1-pro-preview",
    contents="Explain how AI works in a few words",
)

print(response.text)

JavaScript Code Example

// Get your CometAPI key from https://api.cometapi.com/console/token, and paste it here
const api_key = process.env.COMETAPI_KEY || "<YOUR_COMETAPI_KEY>";
const base_url = "https://api.cometapi.com/v1beta";
const model = "gemini-3.1-pro-preview";
const operator = "generateContent";

async function main() {
  const response = await fetch(`${base_url}/models/${model}:${operator}`, {
    method: "POST",
    headers: {
      "Content-Type": "application/json",
      Authorization: api_key,
    },
    body: JSON.stringify({
      contents: [
        {
          parts: [{ text: "Explain how AI works in a few words" }],
        },
      ],
    }),
  });

  const data = await response.json();
  console.log(data.candidates[0].content.parts[0].text);
}

await main();

Versi Gemini 3.1 Pro

Sebab Gemini 3.1 Pro mempunyai berbilang snapshot mungkin merangkumi faktor berpotensi seperti variasi output selepas kemas kini yang memerlukan snapshot lama untuk konsistensi, menyediakan tempoh peralihan untuk penyesuaian dan migrasi kepada pembangun, serta snapshot berbeza yang sepadan dengan endpoint global atau serantau untuk mengoptimumkan pengalaman pengguna. Untuk perbezaan terperinci antara versi, sila rujuk dokumentasi rasmi.

Version
gemini-3.1-pro-preview