Gemini 2.5 Pro

Name: Gemini 2.5 Pro
Brand: Google DeepMind
SKU: gemini-2-5-pro
Price: 1.5 USD
Availability: InStock

Tekst & chatVerouderde versieBeschikbaar

van Google DeepMindgemini-2-5-pro

Google's latest thinking model. Excels at reasoning, coding, math, and science with massive context window.

Probeer het API-sleutel ophalen Vergelijken

Prijs · 1M in/uit: US$ 1,50 / US$ 12,00
Context: 1.000.000 tokens
Max. uitvoer: 65.536 tokens
Invoer → Uitvoer: Tekst → Tekst
Ontwikkelaar: Google DeepMind
Bijgewerkt: 23 september 2026

Dit is een oudere versie van het model.

Playground

Gemini 2.5 Pro proberen

Chat

US$ 1,50/1M in

Stuur een bericht. Het antwoord komt volledig binnen zodra het model klaar is (geen streaming).

Max. antwoordlengte (tokens)

⌘/Ctrl + Enter

Deze uitvoering

maximaal US$ 0,0123 · 1,23 credits gereserveerd

Gefactureerd worden de werkelijk gebruikte tokens; het ongebruikte deel van de reservering wordt terugbetaald.

Nieuw hier?

10 gratis credits (US$ 0,10) wanneer je je aanmeldt met Google

Bruikbaar 24 uur na aanmelding, tot 5 uitvoeringen per dag en maximaal 2 credits per uitvoering. Andere aanmeldmethoden starten zonder credits. Voldoende voor 8 uitvoeringen van dit model.

Over Gemini 2.5 Pro

SamengevatPer 23 september 2026

Gemini 2.5 Pro is een model van Google DeepMind in de categorie Tekst & chat. Op Railwail kost Gemini 2.5 Pro US$ 1,50 per 1M invoertokens en US$ 12,00 per 1M uitvoertokens. Het contextvenster bevat 1.000.000 tokens, en een antwoord kan tot 65.536 tokens lang zijn.

Achtergrond

Over Google DeepMind

Opgericht 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 and the Mixture-of-Experts architecture in early 2024, Gemini 2.0 Flash (December 2024) and Gemini 2.5 Pro (released March 2025, generally available May 2025) which introduced a built-in 'Deep Think' reasoning mode. Google DeepMind also ships Imagen, Veo, Lyria, NotebookLM and powers AI features across Google Search, Workspace and Android.

Google DeepMind bezoeken

Architectuur

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

Gemini 2.5 Pro is Google DeepMind's flagship reasoning model released as preview in March 2025 and generally available in May 2025. It is a natively multimodal Sparse Mixture-of-Experts (MoE) Transformer that ingests text, image, audio and video tokens through a shared embedding space, building on the architecture introduced in Gemini 1.5 Pro. Pretraining used Google's TPU v5p infrastructure on a multi-trillion-token corpus mixing web text, code, books, scientific papers, image-text pairs, audio and YouTube video frames, with a knowledge cutoff of January 2025. Post-training combined supervised fine-tuning, RLHF and reinforcement learning against verifiable rewards for math and code, plus a new 'Deep Think' training stage that teaches the model to allocate test-time thinking budgets and emit long internal chains-of-thought before the final answer. Deep Think is exposed to developers as a toggle and was the headline capability at launch, pushing Gemini 2.5 Pro to the top of the Chatbot Arena leaderboard for the first time for Google. The model supports a 1,048,576-token context window with native handling of long PDFs, hour-long videos and full code repositories. Tool use, function calling, structured output and grounding with Google Search are first-class. Safety training included red-teaming under Google's Frontier Safety Framework.

Parameters: Undisclosed (sparse MoE, total parameters in the hundreds of billions, active per-token undisclosed)
Context: 1.048.576 tokens

Mogelijkheden

1,048,576 token context window (~1M tokens) 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 2025 and Humanity's Last Exam
Strong coding performance on SWE-bench Verified and LiveCodeBench
Function calling, JSON schema, parallel tool calls
Grounding with Google Search built into the API
Native execution of code via the Code Execution tool
Cross-lingual reasoning across 100+ languages
Available via Vertex AI, AI Studio, and the Gemini app
Best for: scientific reasoning, long-document and long-video analysis, coding, agentic workflows.

Training & licentie

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 is January 2025. Post-training uses supervised fine-tuning, RLHF, RL against verifiable rewards and Deep Think reasoning training.

Licentie: Proprietary commercial license via Google AI Studio, Vertex AI and the Gemini app. Commercial use permitted under Google Cloud terms.

Veiligheidstests: 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.

Bekende beperkingen

Deep Think adds significant latency and token cost
Long context recall quality degrades beyond ~500K tokens for some tasks
Vision occasionally misreads dense tables and handwriting
Knowledge cutoff January 2025
Region availability varies and is not yet in all EU regions for some features

Onderzoeksartikelen

Prijzen

Prijzen in US-dollars. Het gebruik wordt in rekening gebracht via vooraf gekochte credits.

Invoer	US$ 1,50 / 1M tokens
Uitvoer	US$ 12,00 / 1M tokens
Invoer (prompts boven 200.000 tokens)	US$ 3,00 / 1M tokens
Uitvoer (prompts boven 200.000 tokens)	US$ 18,00 / 1M tokens

Gefactureerd worden de tokens die elke aanvraag daadwerkelijk gebruikt.
1 credit = US$ 0,01

Kostencalculator

Prijscalculator

Input-tokens

/ aanvr.

Output-tokens

/ aanvr.

Aanvragen

Totaal

US$ 0,75

75 credits

Per aanvraag

US$ 0,0075 · 0,75 credits

Elke aanvraag wordt afgerond naar 0,01 credits.

API

Roep Gemini 2.5 Pro aan met je Railwail API-sleutel. Gebruik deze model-ID in het verzoek:

gemini-2-5-proAPI-documentatie API-sleutel ophalen

curl https://railwail.com/api/v1/chat/completions \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-2-5-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-2-5-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-2-5-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-2-5-pro", [
  { role: "user", content: "Explain what a vector database is in two sentences." },
], { max_tokens: 1024 });

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

Stel uw sleutel in als RAILWAIL_API_KEYAPI-sleutel maken

Specificaties

Model-ID: gemini-2-5-pro
Ontwikkelaar: Google DeepMind
Categorie: Tekst & chat
Invoer: Tekst
Uitvoer: Tekst
Contextvenster: 1.000.000 tokens
Max. uitvoer: 65.536 tokens
Facturering: Op basis van gebruik (tokens of GPU-tijd)
Levenscyclus: Verouderde versie
Modelgrootte: Undisclosed (sparse MoE, total parameters in the hundreds of billions, active per-token undisclosed)
Licentie: Proprietary commercial license via Google AI Studio, Vertex AI and the Gemini app. Commercial use permitted under Google Cloud terms.
Catalogusitem bijgewerkt: 23 september 2026

Voorbeeldprompts

Voorbeelden uit de Railwail-catalogus. Ze zijn niet live op deze pagina gegenereerd.

Scientific Analysis
Explain CRISPR-Cas9 gene editing: how it works, current medical applications, and ethical considerations
Voorbeeldantwoord weergeven
CRISPR-Cas9 works like molecular scissors guided by a GPS. A guide RNA is designed to match a specific DNA sequence; the Cas9 protein then cuts the DNA at that exact location, allowing scientists to delete, repair, or insert genetic material. Current medical applications include sickle cell disease treatment (Casgevy, approved 2023), where patients' stem cells are edited ex vivo to produce functional hemoglobin. Clinical trials are underway for certain cancers, hereditary blindness, and HIV resistance. Ethical considerations center on germline editing (changes passed to future generations), equitable access to expensive therapies, and the slippery slope toward 'designer babies'—most scientists support a moratorium on heritable human genome editing while governance frameworks catch up.
Long Context Analysis
I have a 200-page legal contract. Identify all clauses related to intellectual property ownership, data retention, and termination conditions.
Voorbeeldantwoord weergeven
I can process your entire 200-page contract within my context window. Here's what I would systematically extract: 1) IP Ownership clauses: Look for sections titled 'Intellectual Property,' 'Work Product,' or 'Ownership of Deliverables'—these define who owns code, designs, and inventions created during the engagement. 2) Data Retention: Sections covering 'Data Handling,' 'Confidentiality,' or 'Information Security' typically specify how long each party retains data post-termination, deletion timelines, and compliance with regulations like GDPR. 3) Termination Conditions: Usually in a dedicated 'Termination' section, covering for-cause vs. for-convenience termination, notice periods, cure periods for breaches, and post-termination obligations. Upload the document and I'll provide exact clause references, page numbers, and a summary of each relevant provision with any potential conflicts between sections.

Gebruiksscenario's

Waarvoor het wordt gebruikt

Long-video and long-PDF analysis
Scientific research and literature review
Coding agents with Deep Think
Search-grounded chatbots
Multimodal data extraction
Enterprise document understanding

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Veelgestelde vragen

Wat is Gemini 2.5 Pro?

Gemini 2.5 Pro is een model van Google DeepMind in de categorie Tekst & chat. Op Railwail kunt u het aanroepen met een API-sleutel via de Railwail-API.

Hoeveel kost Gemini 2.5 Pro op Railwail?

Op Railwail kost Gemini 2.5 Pro US$ 1,50 per 1M invoertokens en US$ 12,00 per 1M uitvoertokens. U betaalt voor wat elke aanvraag daadwerkelijk verbruikt. Gebruik wordt betaald met vooraf gekochte credits; 1 credit is gelijk aan US$ 0,01.

Wat is het contextvenster van Gemini 2.5 Pro?

Het contextvenster van Gemini 2.5 Pro bevat 1.000.000 tokens. Een antwoord kan tot 65.536 tokens lang zijn.

Hoe snel is Gemini 2.5 Pro?

Er zijn nog niet genoeg gemeten runs van Gemini 2.5 Pro op Railwail om een uitvoeringstijd op te geven. Dit hangt af van de invoer, de instellingen en de belasting bij de provider.

Is Gemini 2.5 Pro beter dan Claude Fable 5.1?

Dat hangt van de taak af. Gemini 2.5 Pro (Google DeepMind) en Claude Fable 5.1 (Anthropic) zijn beide modellen in de categorie Tekst & chat. De vergelijkingspagina toont hun prijzen en specificaties naast elkaar.

Gemini 2.5 Pro en Claude Fable 5.1 vergelijken

Hoe gebruik ik Gemini 2.5 Pro via de API?

Maak een Railwail-API-sleutel aan en stuur uw aanvraag met de model-ID gemini-2-5-pro. Codevoorbeelden voor curl, Python en JavaScript staan in het API-gedeelte van deze pagina.

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Gemini 2.5 Pro via de API gebruiken

Één API-sleutel voor elk model op Railwail. Gebruik wordt afgerekend via vooraf gekochte credits, 1 credit = US$ 0,01.

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