March 15, 2025 | By Ben Tannenbaum
Comparing Major LLMs in 2025: Features, Market Share, and Strategic Implications
The landscape of Large Language Models (LLMs) continues to evolve rapidly in 2025, with several major players competing for market share and user attention. This article provides a comprehensive comparison of the five leading LLMs: ChatGPT, DeepSeek, Perplexity, Claude, and Gemini. We'll analyze their features, market position, and strategic implications for brands looking to optimize their AI presence.
Current Market Share Landscape

As the chart illustrates, OpenAI's ChatGPT continues to dominate the market with approximately 78.9% of global LLM traffic. However, we're seeing interesting shifts in the competitive landscape, with DeepSeek now securing 9.6% of the market—a significant increase from its position a year ago. Google's offerings have declined to 5.2%, while Perplexity maintains a steady 2.1% share focused primarily on search-oriented use cases.
Key Market Insight: While ChatGPT maintains overall dominance, our research shows that for transactional searches (queries with purchase intent), the market is increasingly split between ChatGPT and Perplexity, particularly in the US market where we've observed a 60/40 split for these high-value queries. For more details on this trend, see our analysis Should I Optimise My Brand on Other LLMs than ChatGPT?
Feature Comparison
Beyond market share, understanding the unique capabilities of each LLM is crucial for brands determining where to focus their optimization efforts. The following table provides a detailed comparison of key features across the major platforms:
Feature | ChatGPT | DeepSeek | Perplexity | Claude | Gemini |
---|---|---|---|---|---|
Base Model Size | GPT-4o (1.8T parameters) | DeepSeek-V2 (2T parameters) | Custom (800B parameters) | Claude 3 Opus (1.5T parameters) | Gemini Ultra (1.2T parameters) |
Context Window (Token Limit) | 128K tokens | 128K tokens | 100K tokens | 200K tokens | 2M tokens (Gemini 1.5 Pro) |
Real-time Web Search | Yes (SearchGPT) | Limited | Yes (Core Feature) | Limited | Yes |
Image Generation | Yes (DALL-E 3) | Yes (DeepSeek Draw) | No | Yes (Claude Vision) | Yes (Imagen) |
Code Generation | Excellent | Excellent | Good | Very Good | Good |
Document Analysis | Yes (100 pages) | Yes (150 pages) | Yes (Unlimited with links) | Yes (300 pages) | Yes (50 pages) |
API Access | Comprehensive | Limited | Limited | Comprehensive | Comprehensive |
Multimodal Capabilities | Advanced | Basic | Basic | Advanced | Advanced |
Custom GPTs/Agents | Yes (GPT Store) | No | Limited (Labs) | Limited (Claude Artifacts) | Limited (Extensions) |
Free Tier Availability | Yes (GPT-4o) | Yes | Limited (5 queries/day) | Limited (Claude 3 Haiku) | Yes |
Enterprise Solutions | Comprehensive | Emerging | Emerging | Comprehensive | Comprehensive |
A standout feature in the comparison is Gemini's massive 2 million token context window in its Pro version, which far exceeds competitors. This allows Gemini to process and maintain context across the equivalent of approximately 1,500 pages of text in a single conversation—a significant advantage for tasks involving large documents, complex research, or extended conversations. While Claude offers a respectable 200K tokens and both ChatGPT and DeepSeek provide 128K tokens, Gemini's capacity represents a 10-20x increase over what was standard just a few years ago.
Strengths and Specializations
Key Differentiators by Platform
🤖 ChatGPT
Market leader with the most comprehensive feature set
Strongest ecosystem with GPT Store and developer tools
Best balance of capabilities across all use cases
🔍 DeepSeek
Emerging challenger with superior technical performance
Exceptional code generation capabilities
Strong growth trajectory in technical communities
🌐 Perplexity
Search-first approach with superior real-time information
Strongest for transactional and research queries
Excellent citation and source transparency
📝 Claude
Superior document analysis capabilities
Best-in-class for long-form content generation
Strongest reasoning capabilities for complex tasks
🔄 Gemini
Deep integration with Google ecosystem
Industry-leading 2M token context window
Strong multimodal capabilities
Excellent for Google Workspace users
Strategic Implications for Brands
Based on our analysis of both market share and feature capabilities, here are the key strategic implications for brands looking to optimize their presence across LLMs:
- Primary Focus on ChatGPT: With nearly 80% of global LLM traffic, ChatGPT should remain the primary focus for brand optimization efforts. Its comprehensive feature set and dominant market position make it the most efficient platform for maximizing AI visibility.
- Perplexity for Transactional Content: Brands with significant US presence and a focus on e-commerce should consider specific optimization for Perplexity, particularly for product-related content. Our research shows that for transactional queries, Perplexity captures a significant share of high-intent traffic.
- Monitor DeepSeek's Growth: DeepSeek's rapid growth trajectory suggests it may become an increasingly important platform, particularly for technical content and developer-focused brands. While not yet requiring dedicated optimization, brands should monitor its evolution.
- Leverage Cross-Platform Optimization: Many optimization strategies for ChatGPT will translate to other platforms, particularly those focused on content quality, structured data, and comprehensive information. Focus on creating content that serves users well across all platforms.
- Consider Vertical-Specific Strategies: Different LLMs show strengths in specific verticals. For example, Claude excels at document analysis and complex reasoning, making it potentially valuable for legal, financial, or educational content.
- Evaluate Context Window Requirements: For brands with extensive documentation, complex products, or detailed knowledge bases, Gemini's 2M token context window offers unique capabilities for comprehensive information processing that other models cannot match.
Regional Considerations
Our research indicates significant regional variations in LLM usage patterns:
- Europe and Asia: ChatGPT maintains over 90% market share, making it the clear priority for these regions.
- United States: More competitive landscape, with Perplexity capturing up to 40% of transactional queries.
- Technical Communities: DeepSeek shows stronger adoption among developers and technical professionals globally.
- Enterprise Markets: Claude and ChatGPT dominate enterprise adoption, with Gemini gaining traction in Google Workspace-centric organizations.
Looking Forward: Trends to Watch
As the LLM landscape continues to evolve, several key trends are worth monitoring:
- Increasing Specialization: We expect to see more domain-specific LLMs optimized for particular industries or use cases.
- API-First Approaches: The ability to integrate LLM capabilities directly into applications and workflows will become increasingly important.
- Multimodal Evolution: The ability to process and generate multiple types of content (text, images, audio) will continue to advance.
- Real-time Capabilities: Access to current information will become a standard feature across all major platforms.
- Regulatory Impact: Emerging AI regulations may create regional variations in feature availability and capabilities.
- Expanding Context Windows: The race to increase token limits will continue, with all major providers likely to expand their context windows to accommodate more complex use cases.
For brands looking to optimize their presence across LLMs, the key takeaway remains: focus primarily on ChatGPT while maintaining awareness of platform-specific strengths and regional variations. By creating high-quality, structured content that serves users well, brands can maximize their visibility across the evolving LLM landscape.
About Aiso
At Aiso, we help brands optimize their presence in AI responses. Our platform analyzes millions of ChatGPT conversations to understand how users interact with AI and what they're searching for. With ChatGPT dominating approximately 80% of global LLM traffic, we focus on helping brands maximize their visibility where it matters most. Our research into transactional search patterns provides unique insights into consumer behavior in the AI era, enabling brands to position themselves effectively in this new channel.
Whether you're looking to understand how AI is reshaping your industry or need strategic guidance on optimizing your brand's presence in AI responses, Aiso provides the data-driven insights and tools you need to succeed.