Who is winning the global AI race today?
We track, compare and rank the world's leading AI systems
Transparent methodology.
Open data.
The rating is updated daily.
1. ChatGPT (GPT-4.1) 0.0
2. Claude 3.5 Sonnet 0.0
3. Google Gemini 2.5 0.0
4. Amazon 0.0
5. NVIDIA 0.0
6. Meta 0.0
7. Anthropic 0.0
8. Apple 0.0
9. Salesforce 0.0
10. Adobe 0.0
AI RACE Index – Methodology & Evaluation Criteria
The AI RACE Index is built on a structured and holistic evaluation of global artificial intelligence systems. We combine quantitative metrics (such as user numbers, performance benchmarks) with qualitative analysis (like innovation, ecosystem maturity, and ethical design).
Core Evaluation Criteria
- 1. Popularity & Adoption Scale
- 2. Reasoning & Language Generation Quality
- 3. Multimodality & Versatility
- 4. Speed & Stability
- 5. Innovation & User Experience
- 6. Ecosystem & Integration Maturity
Additional Considerations
Community trust & ethical alignment. Release frequency & pace of updates. Transparency & explainability. B2B vs. B2C impact. Localization & accessibility
Descriptions of the Top 10 AI Systems
Why it’s ranked #1:
- Industry leader in monthly active users (hundreds of millions);
- Top reasoning scores in public benchmarks;
- Native support for multimodal input: text, image, voice;
- The richest ecosystem (OpenAI API, plugin store, third-party integrations);
- Exceptional reliability, uptime, and constant innovation.
Recent Updates:
In March 2025, OpenAI launched GPT-4.1 with active memory, personalized responses, and enhanced image handling. In April, real-time voice input and conversation were rolled out. GPT-4.1 is now the engine behind Microsoft Copilot and many enterprise systems.
Why it’s ranked #2:
- Outstanding reasoning and logic capabilities;
- Emphasis on safety and ethical alignment;
- Trusted in academia and corporate research environments;
- Large memory context (up to 200K tokens);
- Visual input support in premium tiers
Recent Updates:
In Feb–Mar 2025, Anthropic released key updates that enhanced Claude’s logic and analysis. It became especially favored by scholars for its precision and care in language. Claude holds steady in second place in the LLM race.
Why it’s ranked #3:
- Unmatched multimodality: voice, text, images, video;
- Flexible agent-based reasoning architecture;
- Embedded into Gmail, Docs, Android, and more;
- Massive compute scalability;
- Rapid iteration and DeepMind-level R&D.
Recent Updates:
Launched in March 2025, Gemini 2.5 introduced “Thought Budget” — adjustable reasoning depth — plus better document analysis and visual input. Google now markets Gemini as a serious B2B challenger to OpenAI.
Why it’s ranked #4:
- One of the most widely deployed enterprise AI assistants;
- Built into Excel, Word, Outlook, Teams, and more;
- Combines GPT-4 with Microsoft’s security/customization;
- Reliable performance and strong UX;
- Popular in education, law, and finance sectors.
Recent Updates:
In Spring 2025, Microsoft rolled out a new version with memory support, workflow scripting, and Copilot Lab — where users train the assistant on tasks. Copilot continues to dominate enterprise AI use cases.
Why it’s ranked #5:
- Rapid growth in popularity and reputation;
- Clear leader in “responsible” AI search;
- Shows links, sources, and verification cues;
- Transparent output with adjustable detail level;
- Often seen as a Google Search or ChatGPT alternative.
Recent Updates:
In early 2025, Perplexity launched mobile apps, browser widgets, and enterprise dashboards. Users can now choose which model to power responses (GPT-4, Claude, Mistral). It’s widely covered in tech media.
Why it’s ranked #6:
- Excellent performance on modest hardware;
- Open architecture for custom deployment;
- Fast adoption across Asia;
- Highly effective in software engineering tasks;
- A strong open-source alternative to GPT/Claude.
Recent Updates:
In March 2025, DeepSeek added optimized support for Python, C++, and JavaScript, increasing traction among dev teams and coding platforms. Widely used in Asia’s education and tech startup ecosystem.
Why it’s ranked #7:
- Strong performance in voice and multimodal input;
- Adaptable across platforms and languages;
- Integrated into Alibaba services like Taobao, Dingtalk;
- Growing rapidly across Asia;
- Energy-efficient and edge-ready.
Recent Updates:
In March 2025, Qwen added deeper multimodal understanding and faster code generation. It’s being deployed across e-commerce, voice assistants, and corporate AI apps in Asia-Pacific.
Why it’s ranked #8:
- One of the most used image-generation AIs in the world;
- Integrated with ChatGPT for seamless interaction;
- Supports inpainting, style transfer, and editing;
- Used in design, education, marketing, and illustration;
- Produces consistent and realistic outputs.
Recent Updates:
DALL·E 3 now supports voice prompts, refined scene generation, and user-defined constraints. It’s part of OpenAI’s push into visual and video-based multimodality.
Why it’s ranked #9:
- Preferred tool for stylized and conceptual images;
- Popular across branding, social media, and NFT art;
- Strong community and Discord integration;
- Produces aesthetic, high-impact visuals;
- Loved by both professionals and hobbyists.
Recent Updates:
In 2025, Midjourney v6 introduced better anatomy, lighting, photorealism, and personalized style presets. It remains the go-to for creative AI design.
Why it’s ranked #10:
- Fast generation with efficient resource usage;
- Open and modular structure;
- Used in startups, research labs, and dev communities;
- Great for local/on-device deployment;
- Emphasis on reliability and instruction-tuning.
Recent Updates:
In February 2025, Mistral released a refined version with improved context handling and tokenization. Widely used in European academia and open-source AI projects.