Gemini 2.5 Pro

API Model ID:gemini-2.5-pro

2,000,000-token context champion with multimodal audio, video, and code understanding.

#2M Context#Video Analysis#Audio Understanding#Multimodal#Vision

Deploy with Gruvo All Models

Context Window2M tokens2,000,000 tokens

Max Output64K tokens64,000 tokens

Input Price$1.25per 1M input tokens

Output Price$5.00per 1M output tokens

Latency / Speed~140ms120 tokens/sec

Overview & Architecture

Gemini 2.5 Pro features Google's record-setting 2-million-token native context window. Capable of analyzing hours of video, entire libraries of audio recordings, and multi-million-line software repositories in a single prompt, Gemini 2.5 Pro is the undisputed champion for large-scale multimodal reasoning.

ArchitectureGoogle Multi-Modal Mixture Transformer with 2M Sparse Attention

Knowledge IndexCurrent (Continuously Indexed)

Benchmark Highlights

Needle-In-A-Haystack99.99%

2M-token context fidelity

MMMU78.4%

College-level multi-discipline multimodal QA

Video-MME84.1%

Comprehensive video understanding

MMLU-Pro89.1%

Advanced academic reasoning

Supported Capabilities

Function Calling / Tools

Supported

Vision & Image Inputs

Supported

Audio & Voice Inputs

Supported

Structured JSON Mode

Supported

System Prompts

Supported

Streaming Completions

Supported

Prompt Caching

Supported

Engineering Strengths

Industry-leading 2,000,000-token context window with perfect retrieval
Native high-fidelity processing of video, audio, PDFs, and images
Seamless integration with Google Cloud ecosystem and Vertex AI
Highly competitive pricing for million-token scale inputs

Recommended Production Workloads

Full repository audits, migrations, and architecture documentation
Long-form video transcription, frame-by-frame event detection, and analysis
Financial audio earnings call cross-referencing with quarterly filings

Execute via Gruvo

Unified Endpoint

Connect through Gruvo with OpenAI-compatible client libraries. Gruvo translates requests, manages provider streaming, and applies caching automatically.

import OpenAI from "openai";

// Configure client with Gruvo's unified AI gateway
const gruvo = new OpenAI({
  baseURL: "https://api.gruvo.ai/v1",
  apiKey: process.env.GRUVO_API_KEY,
  defaultHeaders: {
    "X-Gruvo-Provider": "gemini",
  },
});

const completion = await gruvo.chat.completions.create({
  model: "gemini-2.5-pro",
  messages: [
    { role: "system", content: "You are a production reasoning assistant." },
    { role: "user", content: "Analyze the architecture of our service." },
  ],
  temperature: 0.2,
});

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