Live on LM Arena December 2025

Robin-High: OpenAI's Next-Generation AI Reasoning Model

The definitive resource for Robin-High — OpenAI's groundbreaking AI model dominating LM Arena benchmarks with unparalleled performance in complex mathematics, advanced reasoning, and coding tasks. Explore Robin-High vs Gemini 3 Pro comparisons, tutorials, and real-time performance data.

📊 View Robin-High Benchmarks 🚀 How to Test Robin-High
#1
Math Reasoning
1490+
ELO Score
98%
Task Accuracy

LM Arena Live Rankings

Live

Real-time Robin-High performance on LM Arena leaderboard

1
Gemini 3 Pro
Google
1490
2
Robin-High
OpenAI
1487
3
Grok 4.1 Thinking
xAI
1479
4
Claude Opus 4.5
Anthropic
1470
5
GPT-5.1 High
OpenAI
1457
🔴
Status
Testing on LM Arena
📈
Robin-High ELO
1487 (+12)
🏆
Arena Rank
#2 Overall
🧮
Math Arena
#1 Tied
đŸ’ģ
Code Arena
#2 Position
🕐
Last Updated
December 11, 2025
🔴
Status
Testing on LM Arena
📈
Robin-High ELO
1487 (+12)
📊 Real-Time Data

Robin-High Performance Dashboard

Track Robin-High model performance metrics across key benchmarks and competitive rankings on LM Arena.

đŸŽ¯
1487
Robin-High ELO Score
↑ +12 this week
🏅
#2
LM Arena Overall Rank
↑ +1 position
🧮
98.2%
Math Task Accuracy
↑ +2.3%
⚔ī¸
72%
Win Rate vs GPT-5.1
↑ +5%
📰 Breaking News

Latest Robin-High News & Updates

Stay informed with the latest developments, leaks, and announcements about the Robin-High AI model and OpenAI's Garlic project.

🚀
December 11, 2025 â€ĸ TestingCatalog

OpenAI Debuts Robin-High Model on LM Arena for Public Testing

OpenAI has quietly released Robin-High on the LM Arena benchmarking platform, marking a significant milestone in the company's next-generation AI development. The model demonstrates exceptional performance in complex mathematical reasoning, solving problems that previously only Gemini 3 Pro could handle consistently.

Read Full Article →
December 10, 2025

Robin-High vs Gemini 3 Pro: Early Benchmark Results Show Tight Competition

December 9, 2025

OpenAI's Garlic Project: What We Know About the Next-Gen AI Initiative

December 8, 2025

LM Arena Introduces New Math Reasoning Challenge - Robin-High Excels

December 7, 2025

Is Robin-High the Precursor to GPT-5.2? Industry Analysts Weigh In

⚔ī¸ Model Comparison

Robin-High vs Gemini 3 Pro vs GPT-5.1: Complete Comparison

Comprehensive side-by-side analysis of Robin-High against leading AI models including Gemini 3 Pro, GPT-5.1, and Claude Opus 4.5.

Capability Robin-High Gemini 3 Pro GPT-5.1 High Claude Opus 4.5
LM Arena ELO Score 1487 đŸĨˆ 1490 đŸĨ‡ 1457 1470
Complex Math Reasoning
98%
97%
89%
92%
Coding Tasks (SWE-Bench)
94%
91%
88%
96%
Multi-Step Reasoning
96%
95%
87%
93%
Long Context Handling
91%
98%
85%
94%
API Availability Testing Available Available Available
🏆 Rankings

Robin-High LM Arena Leaderboard Performance

Track Robin-High's real-time performance and ranking on the LM Arena AI benchmarking platform across different task categories.

LM Arena Rankings

Live Data
1
đŸ”ĩ
Gemini 3 Pro
Google DeepMind
1490
↑ +8
2
đŸŸŖ
Robin-High
OpenAI
1487
↑ +12
3
âšĢ
Grok 4.1 Thinking
xAI
1479
↓ -3
4
🟠
Claude Opus 4.5 Thinking
Anthropic
1470
↑ +5
5
đŸŸĸ
GPT-5.1 High
OpenAI
1457
↓ -2
📈 Analytics

Robin-High Performance Visualization

Detailed visual breakdown of Robin-High model capabilities across different AI task categories and benchmark dimensions.

Robin-High Capability Scores

Multi-dimensional
Math Reasoning
98%
Multi-Step Logic
96%
Code Generation
94%
Long Context
91%
Creative Writing
87%

Robin-High vs Competitors

Math Arena
Robin-High
98%
Gemini 3 Pro
97%
Claude Opus 4.5
92%
GPT-5.1 High
89%
Grok 4.1
85%
đŸ’Ŧ Community

Robin-High Community Reviews & Feedback

Real feedback from developers and researchers who have tested Robin-High on LM Arena and in practical applications.

"Robin-High's math reasoning is absolutely insane. It solved a combinatorics problem that had me stumped for hours in under 30 seconds. This is a game-changer for anyone working on complex computational tasks."

DK
David Kim
@davidkim_ai
X (Twitter)

"Tested Robin-High against Gemini 3 Pro on 50 multi-step reasoning problems. They're incredibly close, but Robin-High seems slightly more consistent on edge cases. OpenAI is really pushing the boundaries here."

SL
Sarah Liu
@sarahliu_ml
Reddit r/MachineLearning

"The way Robin-High handles the 8-digit number arrangement problem is remarkable. It doesn't just give the answer - it explains the deduplication logic perfectly. Can't wait for the API release."

MR
Michael Rodriguez
@mrod_dev
Hacker News
📅 History

Robin-High Development Timeline

Track the evolution of Robin-High from initial discovery to current benchmark dominance and future prospects.

December 11, 2025

Robin-High Dominates Math Arena

Robin-High achieves #1 position in LM Arena's Math Reasoning category, tied with Gemini 3 Pro. Both models successfully solve the complex 8-digit number arrangement problem that stumped other leading AI models.

December 8, 2025

Public Testing Begins on LM Arena

OpenAI officially deploys Robin-High to the LM Arena benchmarking platform for public testing, marking the first time users can directly interact with this next-generation reasoning model.

November 2025

Garlic Project Leaks Surface

Internal leaks reveal OpenAI's "Garlic" project, a next-generation AI initiative focusing on advanced reasoning and coding capabilities. Industry analysts speculate Robin-High may be related to this project.

Q1 2026 (Projected)

Expected API Release

Based on current testing trajectory and historical patterns, Robin-High or its successor may be released as part of the GPT-5.2 or GPT-5.5 product line with full API access.

🎓 Tutorial

How to Test Robin-High on LM Arena

Step-by-step guide to experiencing Robin-High's capabilities firsthand on the LM Arena AI benchmarking platform.

1

Visit LM Arena Platform

Navigate to lmarena.ai in your web browser. This is the official LM Arena benchmarking platform where Robin-High is available for public testing.

https://lmarena.ai
2

Select Testing Mode

Choose your preferred testing mode: Battle Mode for blind comparison between two models, Side-by-Side for direct comparison, or Direct Chat for focused interaction with Robin-High.

3

Find Robin-High in Model Selection

In the model dropdown menu, look for "Robin-High" or check the latest models section. Note that Robin-High may appear under different naming conventions during the testing phase.

4

Submit Your Test Prompt

Enter a complex reasoning or math problem to truly test Robin-High's capabilities. Try problems like combinatorics, multi-step logic, or advanced coding challenges.

Example: "Arrange the numbers 2, 0, 1, 9, 20, and 19 to form an 8-digit number (no leading zero). How many unique arrangements exist?"
5

Analyze and Vote

Compare Robin-High's response with competing models. In Battle mode, vote for the better response to contribute to the ELO ranking system. Your feedback helps improve the AI benchmarking ecosystem.

ℹī¸ Overview

What is Robin-High?

Everything you need to know about OpenAI's Robin-High — the next-generation AI reasoning model making waves in the AI community.

🧠

Advanced Reasoning Engine

Robin-High represents OpenAI's latest breakthrough in AI reasoning capabilities. Built on cutting-edge transformer architecture, it excels at multi-step logical deduction, complex mathematical problem-solving, and sophisticated code generation tasks.

🏆

LM Arena Benchmark Leader

Currently ranked #2 on the LM Arena leaderboard, Robin-High demonstrates performance that rivals Gemini 3 Pro. It's the only model besides Gemini 3 Pro to consistently solve the platform's most challenging mathematical reasoning tasks.

đŸ”Ŧ

Garlic Project Connection

Industry analysts speculate that Robin-High is connected to OpenAI's internal "Garlic" project — a next-generation AI initiative focused on surpassing competitors like Google's Gemini 3 in reasoning and coding capabilities.

🚀

Future GPT Integration

Based on current testing patterns, Robin-High technology is expected to be integrated into the upcoming GPT-5.2 or GPT-5.5 product line, potentially launching in early 2026 with full API access.

✨ Capabilities

Robin-High Key Features & Capabilities

Discover the breakthrough features that make Robin-High a leading contender in the next-generation AI model race.

🧮

Mathematical Excellence

Robin-High achieves 98% accuracy on complex mathematical reasoning tasks, including combinatorics, number theory, and multi-step proofs that challenge other AI models.

🔗

Multi-Step Reasoning

Superior chain-of-thought capabilities enable Robin-High to solve problems requiring 10+ reasoning steps while maintaining logical consistency throughout.

đŸ’ģ

Advanced Code Generation

Exceptional performance on coding benchmarks like SWE-Bench, with Robin-High demonstrating strong debugging, algorithm design, and code optimization skills.

đŸŽ¯

High Accuracy & Reliability

Robin-High shows remarkable consistency across repeated trials, with significantly reduced hallucination rates compared to previous generation models.

⚡

Optimized Performance

Despite its advanced capabilities, Robin-High maintains competitive inference speeds, making it practical for real-world applications and developer workflows.

🌐

Broad Domain Knowledge

Robin-High demonstrates strong performance across diverse domains including science, finance, law, and creative tasks, making it a versatile AI assistant.

đŸ’ŧ Applications

Robin-High Use Cases & Applications

Explore practical applications where Robin-High's advanced reasoning and mathematical capabilities deliver exceptional value.

📊

Financial Analysis & Modeling

Robin-High excels at complex financial calculations, risk modeling, and quantitative analysis requiring multi-step mathematical reasoning.

đŸ”Ŧ

Scientific Research

Accelerate research with Robin-High's ability to analyze complex datasets, formulate hypotheses, and solve advanced mathematical problems.

🎓

Educational Tools

Create intelligent tutoring systems powered by Robin-High's step-by-step explanation capabilities for math, science, and coding education.

🛠ī¸

Developer Tools

Enhance development workflows with Robin-High's advanced code generation, debugging, and algorithm optimization capabilities.

🎮

Game AI Development

Robin-High shows particular strength in game development scenarios, creating intelligent NPCs and complex game logic systems.

⚖ī¸

Legal Document Analysis

Leverage Robin-High's reasoning capabilities for contract analysis, legal research, and complex document review tasks.

📝 Resources

Robin-High Prompt Library

Optimized prompt templates to get the best results from Robin-High across different task categories.

🧮 Math Reasoning
Solve this step-by-step, showing all work: [Your math problem here] After solving, verify your answer by checking it against the original constraints. If there are multiple valid approaches, explain why you chose your method.
đŸ’ģ Code Generation
Write production-ready code for: [Your requirements here] Requirements: - Include comprehensive error handling - Add detailed comments explaining logic - Optimize for performance - Follow best practices for [language]
🔍 Multi-Step Reasoning
Analyze this problem using systematic reasoning: [Your problem here] Break down your analysis into: 1. Key information and constraints 2. Potential approaches 3. Step-by-step solution 4. Verification and edge cases
🐛 Debugging
Debug this code and explain the issues: ``` [Your code here] ``` For each bug found: 1. Identify the exact location 2. Explain why it's problematic 3. Provide the corrected code 4. Suggest preventive measures
❓ FAQ

Frequently Asked Questions About Robin-High

Common questions and answers about Robin-High, LM Arena testing, and the OpenAI Garlic project.

Robin-High is a next-generation AI reasoning model developed by OpenAI. It's currently being tested on the LM Arena benchmarking platform and has demonstrated exceptional performance in complex mathematical reasoning, multi-step logic, and coding tasks. Robin-High is speculated to be connected to OpenAI's internal "Garlic" project.

In LM Arena benchmarks, Robin-High and Gemini 3 Pro are extremely close in performance, with Gemini 3 Pro holding a slight edge overall (1490 vs 1487 ELO). However, Robin-High shows particular strength in mathematical reasoning tasks, where both models are the only ones consistently solving the most complex challenges.

You can test Robin-High on the LM Arena platform at lmarena.ai. Select Battle mode for blind comparisons or Side-by-Side mode for direct comparison. Look for Robin-High in the model selection dropdown. Note that as a testing model, availability may vary.

While not officially confirmed by OpenAI, industry analysts and leaked information suggest that Robin-High shares technology lineage with the internal "Garlic" project. Garlic is reportedly OpenAI's initiative to develop next-generation AI capabilities focused on advanced reasoning and coding, potentially leading to GPT-5.2 or GPT-5.5.

Robin-High is currently in the public testing phase on LM Arena. Official API availability has not been announced by OpenAI. Based on historical patterns and industry speculation, Robin-High technology may be released as part of the GPT-5.2 or GPT-5.5 product line, potentially in Q1 2026.

Robin-High demonstrates exceptional mathematical reasoning capabilities, achieving 98% accuracy on complex tasks. It's particularly notable for solving combinatorics and number theory problems that stump other models. For example, Robin-High successfully solves the 8-digit number arrangement problem (arranging 2, 0, 1, 9, 20, 19), correctly identifying 498 unique valid arrangements.

🔮 Intelligence

OpenAI Garlic Project & Robin-High Connection

Exploring the relationship between Robin-High and OpenAI's mysterious Garlic project — the next frontier in AI development.

What is the Garlic Project?

Garlic is OpenAI's internal codename for a next-generation AI development initiative. According to leaks and industry reports, Garlic focuses on advanced reasoning capabilities and coding performance designed to surpass competitors like Google's Gemini 3 and Anthropic's Claude Opus 4.5.

Robin-High's Role

Robin-High appears to be an early testing candidate from the Garlic project lineage. Its exceptional performance on LM Arena's mathematical reasoning benchmarks aligns with Garlic's reported focus areas. However, OpenAI has not officially confirmed this connection.

Future Implications

If Robin-High represents Garlic technology, we can expect significant advancements in the upcoming GPT-5.2 or GPT-5.5 releases. These models may feature substantially improved reasoning, coding, and mathematical capabilities compared to current offerings.

Competitive Landscape

The emergence of Robin-High signals OpenAI's aggressive response to Google's Gemini 3 Pro dominance. This competitive pressure benefits the entire AI ecosystem, driving rapid innovation in reasoning model capabilities across all major providers.

👨‍đŸ’ģ Developers

Robin-High Developer Resources

Tools, documentation, and resources for developers working with Robin-High and preparing for API integration.

📚

API Documentation (Coming Soon)

Comprehensive Robin-High API documentation will be available upon official release. Subscribe for updates.

🔧

Integration Guides

Step-by-step guides for integrating Robin-High into your applications, workflows, and development pipelines.

💡

Best Practices

Optimize your Robin-High usage with prompt engineering tips, error handling strategies, and performance optimization.

🌐 Community

Join the Robin-High Community

Connect with developers, researchers, and AI enthusiasts discussing Robin-High, LM Arena, and next-generation AI models.

đŸ’Ŧ

Discord

Real-time discussions

đŸĻ

X (Twitter)

Latest updates

📱

Reddit

Deep discussions

📧

Newsletter

Weekly digest

⚠ī¸ Transparency

Robin-High Limitations & Considerations

Understanding the current limitations and appropriate use cases for Robin-High model.

Current Status

Robin-High is currently in testing phase on LM Arena. API access is not publicly available, and model availability may vary. Production use is not yet supported.

Known Limitations

Like all AI models, Robin-High may produce incorrect outputs. Always verify critical information, especially for financial, legal, or medical applications.