Gemini 3.1 Pro

Name: Gemini 3.1 Pro
Brand: Google DeepMind
SKU: gemini-3-1-pro
Price: 2.4 USD
Availability: InStock

MultimodalniNovoDostupno

od Google DeepMindgemini-3-1-pro

Google DeepMind's February 2026 flagship. 1M-token (1,048,576) context, native multimodal (text/image/audio/video), Deep Think reasoning.

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Cijena · 1M ulaz/izlaz: 2,40 US$ / 14,40 US$
Kontekst: 1.048.576 tokena
Maks. izlaz: 65.536 tokena
Ulaz → izlaz: Tekst + Slika + Audio + Video → Tekst
Razvojni inženjer: Google DeepMind
Ažurirano: 24. septembar 2026.

Playground

Isprobaj Gemini 3.1 Pro

Razgovor

2,40 US$/1M in

Pošalji poruku. Odgovor stigne u cijelosti kada je model gotov (bez streaminga).

Maks. duljina odgovora (tokeni)

TemperaturaZadana vrijednost modela

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Ovaj pokus

najviše 0,0148 US$ · 1,48 kredita rezervirano

Naplata se vrši prema stvarno korištenim tokenima; nekorišteni dio rezervacije se vraća.

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Dostupno 24 sati nakon registracije, do 5 pokusa dnevno i najviše 2 kredita po pokusu. Ostale metode prijave počinju bez kredita. Dovoljno za 6 pokretanja ovog modela.

O Gemini 3.1 Pro

UkratkoStanje: 24. septembar 2026.

Gemini 3.1 Pro je model od Google DeepMind iz kategorije Multimodalni. Na Railwailu, Gemini 3.1 Pro košta 2,40 US$ po 1M ulaznih tokena i 14,40 US$ po 1M izlaznih tokena. Kontekstni prozor sadrži 1.048.576 tokena, a jedan odgovor može biti dugačak do 65.536 tokena.

Released February 19, 2026, Gemini 3.1 Pro is Google DeepMind's flagship frontier model. Native 1,048,576-token context window, fully multimodal (text, image, audio, video tokens in a single pass), built-in Deep Think reasoning with adjustable thinking budgets. Top scores on GPQA Diamond, AIME, Humanity's Last Exam, and strong coding on SWE-bench. Function calling, JSON schema, Search grounding and Code Execution are first-class. Best for: long-document and long-video analysis, scientific reasoning, agentic workflows.

Pozadina

O Google DeepMind

Osnovano 2010 · Mountain View, USA / London, UK

Google DeepMind is the merged AI research organisation formed in April 2023 by combining Google Brain (founded inside Google in 2011) with DeepMind (founded in London in 2010 by Demis Hassabis, Shane Legg and Mustafa Suleyman, acquired by Google in 2014). Demis Hassabis leads the unit as CEO. DeepMind authored seminal papers including 'Attention Is All You Need' (Google Brain, 2017), AlphaGo (2016), AlphaFold (2018-2021, awarded the 2024 Nobel Prize in Chemistry), AlphaZero, Chinchilla scaling laws and the Gemini Technical Report. The Gemini family launched in December 2023 (Ultra, Pro, Nano), followed by Gemini 1.5 Pro with 1M+ context (early 2024), Gemini 2.0 Flash (December 2024), Gemini 2.5 Pro with Deep Think (March/May 2025), Gemini 3 Pro (late 2025), Gemini 3.1 Pro (February 2026) and Gemini 3 Flash (April 2026). Google DeepMind also ships Imagen, Veo, Lyria and NotebookLM and powers AI features across Google Search, Workspace and Android.

Posjetite Google DeepMind

Arhitektura

Sparse Mixture-of-Experts Transformer (natively multimodal, Deep Think reasoning)

Gemini 3.1 Pro was released February 19, 2026 as Google DeepMind's flagship frontier model. It is a natively multimodal Sparse Mixture-of-Experts Transformer that ingests text, image, audio and video tokens through a shared embedding space, building directly on the Gemini 3 Pro architecture (late 2025) and Gemini 2.5 Pro (early 2025). The input context window is 1,048,576 tokens, the same size as Gemini 2.5 Pro. Pretraining used Google's TPU v6e infrastructure on a multi-trillion-token corpus mixing web text, code, books, scientific papers, image-text pairs, audio waveforms and video frames, with a knowledge cutoff in late 2025. Post-training combined supervised fine-tuning, RLHF, reinforcement learning against verifiable rewards on math and code, and a refreshed 'Deep Think' reasoning stage that teaches the model to allocate test-time thinking budgets and emit long internal chains-of-thought before its final answer. Tool use, function calling, structured output, Search grounding and the Code Execution tool are first-class. Safety training followed Google's Frontier Safety Framework v2.

Parametri: Undisclosed (sparse MoE, total parameters in the hundreds of billions, active per-token undisclosed)
Kontekst: 2.000.000 tokena

Mogućnosti

1,048,576-token input context window with native long-video and long-audio support
Built-in Deep Think reasoning mode with adjustable thinking budget
Natively multimodal: text, image, audio and video in a single pass
Top scores on GPQA Diamond, AIME 2026 and Humanity's Last Exam
Strong coding performance on SWE-bench Verified and LiveCodeBench
Function calling, JSON schema and parallel tool calls
Search grounding and Code Execution tools built into the API
Cross-lingual reasoning across 100+ languages
Available via Vertex AI, AI Studio and the Gemini app (paid-only since April 2026)
2x batch pricing reduction for large jobs
Best for: long-document and long-video analysis, scientific reasoning, agentic workflows, complex multimodal extraction.

Obuka i licenca

Pretrained on a multi-trillion-token mixture of web text, code, books, scientific papers, licensed third-party text, audio waveforms, image-text pairs and video frames. Knowledge cutoff in late 2025. Post-training uses supervised fine-tuning, RLHF, RL against verifiable rewards and Deep Think reasoning training.

Licenca: Proprietary commercial license via Google AI Studio, Vertex AI and the Gemini app. Paid-only since April 1, 2026.

Testiranje sigurnosti: Evaluated under Google DeepMind's Frontier Safety Framework v2 covering CBRN, cyber, persuasion and ML R&D risks, with internal red teams and external evaluators.

Poznata ograničenja

Deep Think adds significant latency and token cost
Prompts above 200K tokens are billed at 2x input / 1.5x output rates
Long-context recall quality can degrade beyond ~1M tokens for some tasks
Vision occasionally misreads dense tables and handwriting
Region availability varies; not yet generally available in all EU regions

Znanstveni članci

Cijene

Cijene u USD-u. Korištenje se naplaćuje iz unaprijed plaćenih kredita.

Ulaz	2,40 US$ / 1M tokena
Izlaz	14,40 US$ / 1M tokena
Ulaz (upiti preko 200.000 tokena)	4,80 US$ / 1M tokena
Izlaz (upiti preko 200.000 tokena)	21,60 US$ / 1M tokena

Naplaćuje se prema tokenima koje svaki zahtjev zapravo koristi.
1 kredit = 0,01 US$

Kalkulator troškova

Kalkulator cijena

Ulazni tokeni

/ zahtjev

Izlazni tokeni

/ zahtjev

Zahtjevi

Ukupno

0,96 US$

96 kredita

Po zahtjevu

0,0096 US$ · 0,96 kredita

Svaki zahtjev se zaokružuje na 0,01 kredita.

API

Pozovi Gemini 3.1 Pro sa svojim Railwail API ključem. Koristi ovaj ID modela u zahtjevu:

gemini-3-1-proPogledaj API dokumentaciju Dobij API ključ

curl https://railwail.com/api/v1/chat/completions \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-3-1-pro",
    "messages": [
      {
        "role": "user",
        "content": "Explain what a vector database is in two sentences."
      }
    ],
    "max_tokens": 1024
  }'

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["RAILWAIL_API_KEY"],
    base_url="https://railwail.com/api/v1",
)

completion = client.chat.completions.create(
    model="gemini-3-1-pro",
    messages=[
        {
            "role": "user",
            "content": "Explain what a vector database is in two sentences.",
        },
    ],
    max_tokens=1024,
)

print(completion.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.RAILWAIL_API_KEY,
  baseURL: "https://railwail.com/api/v1",
});

const completion = await client.chat.completions.create({
  model: "gemini-3-1-pro",
  messages: [
    {
      role: "user",
      content: "Explain what a vector database is in two sentences."
    }
  ],
  max_tokens: 1024
});

console.log(completion.choices[0].message.content);

// npm install railwail
import railwail from "railwail";

const rw = railwail(process.env.RAILWAIL_API_KEY);

const res = await rw.chat("gemini-3-1-pro", [
  { role: "user", content: "Explain what a vector database is in two sentences." },
], { max_tokens: 1024 });

console.log(res.choices[0].message.content);

Postavite ključ kao RAILWAIL_API_KEYKreiraj API ključ

Specifikacije

ID modela: gemini-3-1-pro
Razvojni inženjer: Google DeepMind
Kategorija: Multimodalni
Ulaz: Tekst, Slika, Audio, Video
Izlaz: Tekst
Kontekstni prozor: 1.048.576 tokena
Maks. izlaz: 65.536 tokena
Naplata: Po potrošnji (tokeni ili GPU vrijeme)
Veličina modela: Undisclosed (sparse MoE, total parameters in the hundreds of billions, active per-token undisclosed)
Licenca: Proprietary commercial license via Google AI Studio, Vertex AI and the Gemini app. Paid-only since April 1, 2026.
Katalog ažuriran: 24. septembar 2026.

Parametri ulaza

Ulazi i postavke iz sheme ulaza modela. Primjer u odjeljku API pokazuje koje od njih API prihvaća.

ParametarTipZadanoDozvoljene vrijednosti

promptobavezno
User message
Tip: Tekst
Zadano: –
Dozvoljene vrijednosti: do 32.000 znakova
top_p
Tip: Broj
Zadano: 0.95
Dozvoljene vrijednosti: 0 do 1
stream
Tip: Da/Ne
Zadano: false
Dozvoljene vrijednosti: –
image_url
Optional image URL to analyze
Tip: Tekst
Zadano: –
Dozvoljene vrijednosti: –
max_tokens
Tip: Cijeli broj
Zadano: 4096
Dozvoljene vrijednosti: 1 do 32.000
temperature
Tip: Broj
Zadano: 1
Dozvoljene vrijednosti: 0 do 2
system_prompt
Optional system instruction
Tip: Tekst
Zadano: –
Dozvoljene vrijednosti: do 8.000 znakova

Oznake

google
deepmind
flagship
multimodal
deep-think
long-context
1m-context
video-understanding

Primjena

Za što se koristi

Long-video and long-PDF analysis
Scientific research and literature review
Coding agents with Deep Think reasoning
Search-grounded enterprise chatbots
Multimodal data extraction at scale
Audio transcription and analysis with reasoning
Whole-codebase refactoring and migration

Svi modeli: Multimodalni

Često postavljana pitanja

Što je Gemini 3.1 Pro?

Gemini 3.1 Pro je model od Google DeepMind iz kategorije Multimodalni. Na Railwailu ga možete pozvati s API ključem kroz Railwail API.

Koliko stoji Gemini 3.1 Pro na Railwailu?

Na Railwailu, Gemini 3.1 Pro košta 2,40 US$ po 1M ulaznih tokena i 14,40 US$ po 1M izlaznih tokena. Naplaćuje se ono što svaki zahtjev zapravo koristi. Korištenje se plaća iz unaprijed kupljenih kredita; 1 kredit jednaka je 0,01 US$.

Koliki je kontekstni prozor od Gemini 3.1 Pro?

Kontekstni prozor od Gemini 3.1 Pro sadrži 1.048.576 tokena. Jedan odgovor može biti dugačak do 65.536 tokena.

Koliko je brz Gemini 3.1 Pro?

Za Gemini 3.1 Pro na Railwailu još nema dovoljno izmjerenih pokretanja da bi se navedlo vrijeme izvršavanja. Ovisi o unošenju, postavkama i opterećenju kod pružatelja.

Je li Gemini 3.1 Pro bolji od BLIP?

To ovisi o zadatku. Gemini 3.1 Pro (Google DeepMind) i BLIP (Salesforce) su oba modela iz kategorije Multimodalni. Stranica za usporedbu prikazuje njihove cijene i specifikacije usporedno.

Usporedi Gemini 3.1 Pro i BLIP

Može li Gemini 3.1 Pro obraditi slike?

Da. Gemini 3.1 Pro prihvaća slike kao unos osim teksta.

Kako koristim Gemini 3.1 Pro kroz API?

Kreiraj Railwail API ključ i pošalji svoj zahtjev s ID-om modela gemini-3-1-pro. Primjeri koda za curl, Python i JavaScript nalaze se u odjeljku API na ovoj stranici.

Usporedivi modeli

Svi u ovoj kategoriji

Claude Opus 4.7Anthropic
Anthropic's April 2026 flagship. 87.6% on SWE-bench Verified, 3x higher image resolution, output self-verification, vision + reasoning.
6,00 US$/1M in
150 % skupnije po jedinici
Usporedi Gemini 3.1 Pro i Claude Opus 4.7
Claude Sonnet 4.6Anthropic
Anthropic's balanced mid-tier model from February 2026. Best price/performance for production workloads: 5x cheaper than Opus, near-flagship quality.
3,60 US$/1M in
50 % skupnije po jedinici
Usporedi Gemini 3.1 Pro i Claude Sonnet 4.6
Gemini 3 FlashGoogle DeepMind
Google's April 2026 fast multimodal model. Combines Gemini 3 Pro's reasoning with Flash-tier latency and price. Default model in the Gemini app.
0,60 US$/1M in
75 % jeftinije po jedinici
Usporedi Gemini 3.1 Pro i Gemini 3 Flash

Koristi Gemini 3.1 Pro preko API-ja

Jedan API ključ za sve modele na Railwailu. Korištenje se naplaćuje iz unaprijed plaćenih kredita, 1 kredit = 0,01 US$.

Dobij API ključ Pogledaj sve modele