The best LLMs in 2025

Choosing the right language model can transform your workflow. In 2025, new models push the boundaries of coding, content creation, translation, long-context understanding, and document extraction. If you need the best overall model and have the budget, OpenAI O1 delivers unmatched performance. For a more affordable choice that still excels across most tasks, Claude 3.5 Sonnet 20241022 is a solid alternative.

Best LLMs for Coding in 2025

• OpenAI O1: This model uses advanced Chain-of-Thought techniques and ranks first in most coding benchmarks. It solves nearly all coding problems but is expensive and slow. It also lacks support for system prompts.
• Claude 3.5 Sonnet 20241022: This Anthropic model excels at hard problems and is fast and affordable. It also offers a large context window. It was leading coding benchmarks before O1’s release.
• DeepSeek V3: Trained with fewer resources yet achieves top performance. Ideal for daily coding tasks due to its fast speed and reliable results.
• GPT 4o 2024-11-20: The best in the GPT series. It matches Sonnet in quality but can be verbose. It is a solid choice for code generation.
• Llama 3.1 405B: Meta’s largest model. It handles complex coding tasks well but suffers from slow speed. It also lacks integration with major coding assistants.

Best LLMs for Content Creation in 2025

• OpenAI O1: OpenAI's top model for content creation. It produces the highest-quality text across various domains. If you can handle its slow speed and high pricing, it's unbeatable.
• Claude 3.5 Sonnet 20241022: Anthropic's flagship model. It excels in script writing, storytelling, and creative tasks. It's also faster and more affordable than O1.
• GPT 4o 2024-11-20: The best in the GPT family for writing. It matches Claude in overall performance but can be overly detailed. Still a strong choice for versatile content creation.
• Llama 3.1 405B: Meta's largest open-source LLM. It delivers detailed, coherent drafts but is slower. Good for deep writing projects if you don't mind the speed.
• Gemini 1.5 Pro 002: Exceptional at script writing, story development, and academic work. It offers nuanced responses and thorough attention to detail.

Best LLMs for Translation in 2025

• Gemini 1.5 Pro 002: Best overall for mainstream languages. It handles nuanced language structures well, making it the top choice for large-scale translation tasks.
• OpenAI O1-mini: Best for Spanish and French. It also delivers strong results in German and Korean. Reliable but somewhat expensive for large-scale use.
• Claude 3.5 Sonnet 20241022: Offers balanced performance across many languages. It's cost-effective and maintains accuracy, making it a solid everyday choice.
• Llama 3.1 405B Instruct: Meta's open-source model. It excels in Spanish translations. Slower than others but still powerful for open-source projects.
• GPT 4o 2024-11-20: Strong in various languages. Accurate and versatile, though it can be verbose. Good for tasks that need high precision.

Best LLMs for Long Context in 2025

• OpenAI O1: Nearly zero hallucinations and supports a massive 200K context window. Ideal for handling large documents without losing accuracy.
• Claude 3.5 Sonnet 20241022: Matches O1 with a 200K context window. It's more cost-effective, making it a great choice for extended content analysis.
• DeepSeek V3: An open-source option with a 64K context limit. Despite its smaller window, it performs well and is easy to customize.
• GPT 4o 2024-11-20: Offers a 100K context window. It's reliable for lengthy tasks but can be verbose when handling large volumes of text.
• Gemini 1.5 Pro 002: Also provides a 100K context window. Known for its speed and stable performance when working with long texts.

Best LLMs for Extracting Text from Documents in 2025

• Gemini 1.5 Flash 002: Cost-effective and extremely fast. It handles large volumes of documents quickly but may sacrifice some accuracy. Ideal for rapid processing tasks where speed and budget matter most.
• Claude 3.5 Sonnet 20241022: Excels at extracting detailed information from complex files, including financial documents. It offers precise data retrieval and maintains high accuracy even with intricate text.
• Qwen-VL-Max-1119: The open-source leader for image-based text extraction. It supports high-resolution images and various aspect ratios, making it a go-to option for visual data processing.
• GPT 4o 2024-11-20: A robust model for general document processing. It summarizes and extracts key information well, though it can occasionally miss minor details in complex tasks.
• Gemini 1.5 Pro 002: An upgraded version of the Flash line. It delivers higher accuracy and strong reliability, making it suitable for advanced tasks that demand precise document analysis.

How to Try Out These Models

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Then, head to our Model Playground to test and compare different models with various configurations, ensuring you choose the ideal fit for your tasks.