TOP 10 LLMs

The Ultimate AI Power Rankings

June 2025 Edition
1
1

GPT-4o

OpenAI
Multimodal leader with top-tier reasoning, coding, and conversational skills. Fast response (232ms) and high adoption in enterprise and creative tasks.

Sources of Inference

Web:0,1,6,8,15,22. Chatbot Arena (Elo 1,387), GPQA Diamond (83%), and enterprise adoption metrics.

2
2

Claude 3.5 Sonnet

Anthropic
Excels in conversational nuance, coding, and safety. Low hallucination rate, strong in extended reasoning mode, and widely used in enterprise settings.

Sources of Inference

Web:1,6,8,15,22. Artificial Analysis Quality Index and coding benchmark scores (e.g., HumanEval).

3
3

Gemini 2.5 Pro

Google
Multimodal with 1M token context window, strong in reasoning and coding. Outperforms o3 in some benchmarks, integrated into Google's ecosystem.

Sources of Inference

Web:6,8,15,16,22. Google's reported benchmarks and enterprise adoption trends.

4
4

DeepSeek R1

DeepSeek
Open-source, 671B parameters, matches o1 in math/coding. 30x cheaper, 5x faster than o1, with high adoption due to accessibility.

Sources of Inference

Web:0,1,2,10,15,16. Chatbot Arena (Elo 1,382), MATH-500, and open-source community feedback.

5
5

Grok 3

xAI
Advanced reasoning and multimodal capabilities, optimized for truth-seeking and scientific tasks. Strong but less adopted than top models.

Sources of Inference

Web:0,15,22. xAI's reported capabilities, benchmark performance, and X user feedback.

6
6

Qwen 3

Alibaba
Open-source, 72B parameters, excels in multilingual tasks and enterprise adoption (90,000+ enterprises). Strong in reasoning and cost-efficiency.

Sources of Inference

Web:0,16. Chatbot Arena (Elo 1,380) and Alibaba's adoption metrics.

7
7

Llama 3.3

Meta
Open-source, 70B parameters, strong in multilingual dialogue and coding. Flexible for customization, widely used in research and commercial applications.

Sources of Inference

Web:10,13,14,16. Hugging Face leaderboards and open-source adoption trends.

8
8

o3

OpenAI
Reasoning-focused, excels in math (87.7% GPQA Diamond) and coding. Less versatile than GPT-4o but strong in STEM tasks.

Sources of Inference

Web:6,15,22. GPQA Diamond, AIME 2024, and API usage data.

9
9

Mistral Large 2

Mistral AI
Open-weight, 235B parameters, competitive in coding and multilingual tasks. Cost-effective with strong community support for customization.

Sources of Inference

Web:10,14,22. Hugging Face benchmarks and adoption metrics.

10
10

Ernie 4.0

Baidu
Mandarin-focused, 10T parameters, 45M+ users. Strong in Chinese NLP but less versatile in global multilingual tasks compared to top models.

Sources of Inference

Web:1. Baidu's reported user base and regional benchmark performance.

Methodology & Analysis

Ranking Criteria

Rankings are based on a synthesis of benchmark performance (Chatbot Arena Elo scores, MMLU, HumanEval, GPQA Diamond), adoption metrics (enterprise and community usage), and capability breadth (multimodal, reasoning, coding, multilingual).

Grok 3's Position

Grok 3 ranks 5th due to its advanced reasoning and multimodal capabilities, optimized for scientific discovery and truth-seeking. However, it lags behind in benchmark dominance and adoption scale compared to the top 4 models.

Open Source vs. Proprietary

Proprietary models (GPT-4o, Claude, Gemini) dominate due to extensive training and ecosystem integration, but open-source models (DeepSeek R1, Qwen 3, Llama 3.3) are gaining ground with cost-effectiveness and flexibility.

Limitations

Some models excel regionally but lack global versatility. Benchmarks may not fully capture real-world performance, and proprietary models' closed nature limits transparency. Future releases could shift rankings significantly.