Gemini 3 Pro Preview Launch: #1 on LMArena

Google’s latest multimodal AI model Gemini 3 Pro Preview is now live! Ranked #1 globally on LMArena with 1501 Elo, 76.2% on SWE-bench Verified, supports 1M context and chain-of-thought output. Available now on APIYI with up to 20% discount.

Key Highlights

• World’s Best: LMArena leaderboard 1501 Elo, ranked #1 globally
• Top Coding: 76.2% on SWE-bench Verified, industry-leading code generation
• Massive Context: 1 million token context window for large codebases
• Chain-of-Thought: Display complete reasoning process
• Great Value: Official pricing + up to 20% discount with recharge bonuses

Background

On November 18, 2025, Google officially released Gemini 3 Pro Preview, their latest multimodal AI model. With a score of 1501 Elo on the LMArena leaderboard, it ranks #1 globally, surpassing GPT-5, Claude Opus 4.1, and all other competitors.

APIYI has integrated this model immediately, providing developers with stable, cost-effective API services.

Key Features

New Models

gemini-3-pro-preview

Auto Reasoning Model

Automatically adjusts reasoning intensity based on task complexity.

gemini-3-pro-preview-thinking

Thinking Output Model

Displays complete reasoning process, ideal for advanced programming and mathematics.

Performance Benchmarks

Benchmark	Score	Rank
LMArena	1501 Elo	🏆 #1 Global
SWE-bench Verified	76.2%	🥇 Top Tier
Terminal-Bench 2.0	54.2%	🥇 Leading
Multimodal	-	🏆 Best in Class

Core Capabilities

• 1M Token Context: Handle massive codebases and documents
• 64K Token Output: Generate extensive code and documentation
• Multimodal: Text, image, video, and audio understanding
• Tool Integration: Google Search, File Search, Code Execution, Function Calling

Use Cases

AI Programming

• IDE integration
• Code review
• Autonomous development
• Technical documentation

Complex Reasoning

• Mathematical proofs
• Logic reasoning
• Strategy planning
• Data analysis

Multimodal Apps

• Image understanding
• Video analysis
• OCR and parsing
• Cross-modal generation

Agent Development

• Agentic workflows
• Autonomous tasks
• Tool integration
• Context management

Code Example

import openai

client = openai.OpenAI(
    api_key="your-api-key",
    base_url="https://api.apiyi.com/v1"
)

# Basic chat
response = client.chat.completions.create(
    model="gemini-3-pro-preview",
    messages=[
        {"role": "user", "content": "Explain quantum entanglement"}
    ]
)
print(response.choices[0].message.content)

# Chain-of-thought mode
response = client.chat.completions.create(
    model="gemini-3-pro-preview-thinking",
    messages=[
        {"role": "user", "content": "Prove: 1+2+3+...+n = n(n+1)/2"}
    ]
)
print(response.choices[0].message.content)

Pricing

Item	Price	Notes
Input Tokens	$2.00 / 1M tokens	For prompts ≤200K tokens
Output Tokens	$12.00 / 1M tokens	All output tokens
Cached Input	$0.20 / 1M tokens	If caching supported

Special Offer: With APIYI’s recharge bonus program, enjoy up to 20% discount! Input costs as low as $1.6/1M tokens, output costs as low as $9.6/1M tokens.

Getting Started

1. Sign up: https://api.apiyi.com
2. Add credits: Enjoy recharge bonuses
3. Check docs: Gemini API Guide
4. Start using: Change model to gemini-3-pro-preview

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Sources:

• Google Official Blog: Gemini 3 Pro Preview Announcement blog.google/technology/ai/google-gemini-3-pro-preview/
• LMArena Leaderboard: lmarena.ai/leaderboard
• SWE-bench: swebench.com
• Data retrieved: November 20, 2025