Build with
Gemini 2.5 Pro
Million-token memory, genius-level reasoning, and seamless multimodal intelligence that actually delivers.
Google's Thinking AI Powerhouse
Gemini 2.5 Pro is Google’s flagship AI model featuring native multimodal processing (text, image, audio, video), a 1M-token context window, and state-of-the-art performance on reasoning and coding benchmarks (e.g., SWE-Bench Verified, GPQA). Optimized for speed and accuracy, it supports advanced tool use, code execution, and structured data handling, making it ideal for complex, large-scale enterprise and developer applications.
Massive Context Window
The model supports a context window of up to 1 million tokens, with plans to expand to 2 million.
Native multimodality
Gemini 2.5 Pro model integrates text, audio, images, video, and code processing in one system for cross-format understanding.
Advanced Reasoning
Gemini is a "thinking model" – it analyzes problems, breaks them down, and reasons through its thoughts before responding.
Hands-on with Google Gemini 2.5 Pro
Gemini 2.5 Pro transforms healthcare outcomes, financial insights, and executive decisions, making enterprises measurably more effective at solving their toughest challenges.
Scientific Research
Gemini 2.5 can process and analyze large scientific datasets, generate hypotheses, evaluate evidence, formulate conclusions with improved accuracy and context handling. It can also handle multimodal inputs, making it suitable for analyzing research materials in various formats.
Legal Analysis
Gemini 2.5 Pro's 1M token context window enables processing entire codebases without RAG, excelling in code editing with 63.8% on SWE-bench. Developer Simon Willison implemented cross-file features in 45 minutes, demonstrating its value for AI-assisted development.
Financial Modeling
Gemini's capabilities enable it to process multidimensional data including operational metrics, customer feedback, and market data. It's valuable for industries with complex operational environments that require balancing multiple factors in decision-making.
How does Gemini 2.5 Pro compare to other AI models?
Google's Gemini 2.5 Pro is the newest multimodal AI advancement. Knowing how it compares to other AI systems will help you choose the right tool for your needs.
Gemini 2.5 Pro vs Claude 3.7
Gemini 2.5 Pro strengths:
• 1M token context (5× Claude's 200K)
• Multimodal processing (text, images, audio, video)
• Math reasoning (AIME: 92% vs 80%)
• Excels in creative coding challenges (WeirdML benchmark)
Claude 3.7 Sonnet strengths:
• Hybrid reasoning engine with unique "extended thinking" mode
• Software engineering reliability (SWE-bench: 70.3% vs 63.8%)
• Step-by-step logical approach to complex algorithms
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Grok 3 vs Gemini 2.5 Pro
Gemini 2.5 Pro strengths:
• Native multimodal processing (text, images, audio, video)
• Massive 1M token context window
• Leads in Global MMLU (89.8%)
• Superior coding execution quality
Grok 3 strengths:
• Advanced reasoning via Think and DeepSearch modes
• Real-time internet knowledge retrieval
• Tops AIME2025 (93.3%) and GPQA (84.6%)
Gemini 2.5 Pro vs DeepSeek V3
Gemini 2.5 Pro strengths:
• 1M token context window (planned 2M upgrade)
• True multimodal processing (text, images, audio, video)
• Leading performance in coding and scientific benchmarks
• Superior coding execution quality
DeepSeek V3 strengths:
• Open-source MoE architecture (671B parameters total)
• Efficient design (only 37B parameters active per token)
• Higher scores on certain academic tests (beats Gemini on MMLU)
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o4-mini 3 vs Gemini 2.5 Pro
Gemini 2.5 Pro strengths:
• Massive 1M token context window (plans for 2M)
• Natively processes text, images, audio, and video
• Crushing benchmarks (Humanity's Last Exam, GPQA)
• Strong code generation (SWE-Bench: 63.8%)
ChatGPT o4-mini strengths:
• Strong math skills (AIME 2025: 92.7%)
• Competitive coding chops (SWE-Bench: 68.1%)
• Tool-augmented reasoning (Python, web browsing)
• Optimized for speed and cost-efficiency
Why Choose AI/ML API solution?
AI/ML API provides scalability, faster deployment, and access to 200+ advanced machine learning models without the need for extensive in-house expertise or infrastructure.
Easy To Use
Our API allows seamless integration of powerful AI capabilities into your applications, regardless of your coding experience. Simply swap your API key to begin using the AI/ML API.
Scalable
AI/ML API provides flexibility for business growth since you can scale resources by purchasing more tokens as needed, ensuring optimal performance and cost efficiency
Affordable
We offer flat, predictable pricing, payable by card or cryptocurrency, keeping it the lowest on the market and affordable for everyone.
import os
from openai import OpenAI
client = OpenAI(
base_url="<https://api.aimlapi.com/v1>",
api_key="<YOUR_API_KEY>",
)
response = client.chat.completions.create(
model="google/gemini-2.5-pro-preview",
messages=[
{
"role": "system",
"content": "You are an AI assistant who knows everything.",
},
{
"role": "user",
"content": "Tell me, why is the sky blue?"
},
],
)
message = response.choices[0].message.content
print(f"Assistant: {message}")
Getting started with
Gemini 2.5 Pro API
Visit AI Playground to quickly try API.
For more information about technical features, please refer to the Gemini 2.5 Pro model card here.