Text Model

Generate Text Models available in AICRON

GPT-4o (OpenAI)

GPT-4o (the "o" stands for "omni") is OpenAI's flagship multimodal AI model released in May 2024. It processes and generates text, images, and audio in real-time through a single unified neural network. GPT-4o delivers GPT-4-level intelligence with significantly faster response times (averaging 320ms for audio, comparable to human conversation), improved performance on non-English languages, and 50% lower API costs. The model excels at natural human-computer interaction, offering enhanced vision and audio understanding capabilities, and is available in both ChatGPT and through OpenAI's API.

Official Site: https://openai.com/index/hello-gpt-4o/

GPT-4o mini (OpenAI)

GPT-4o mini is OpenAI's most cost-efficient small model released in July 2024. It delivers GPT-4-level performance in a compact, affordable package with 82% on MMLU while being 60% cheaper than GPT-3.5 Turbo at $0.15 per million input tokens. Supporting text and vision inputs with a 128K context window, it excels at high-volume tasks like customer support, parallel API calls, and real-time applications. The model demonstrates strong reasoning and coding capabilities while maintaining the speed and efficiency needed for production-scale deployments.

Official Site: https://openai.com/index/gpt-4o-mini-advancing-cost-efficient-intelligence/

GPT-4.1 (OpenAI)

GPT-4.1 is OpenAI's latest API model released in April 2025, delivering major improvements in coding, instruction-following, and long-context processing. With 54.6% on SWE-bench Verified (21 points above GPT-4o), it represents a significant leap in software engineering capabilities. Supporting up to 1 million tokens of context with enhanced long-context comprehension, it excels at agent workflows, complex coding tasks, and multi-step reasoning. The model scores 38.3% on MultiChallenge instruction benchmarks and features improved reliability in tool usage and diff format adherence. At 26% lower cost than GPT-4o with 75% prompt caching discounts, GPT-4.1 offers superior performance and efficiency for production applications.

Official Site: https://openai.com/index/gpt-4-1/

GPT-4.1-nano (OpenAI)

GPT-4.1 nano is OpenAI's fastest and most cost-efficient model released in April 2025, featuring 1M token context window and 80.1% MMLU performance that outperforms GPT-4o mini. Designed for high-volume, low-latency applications, it excels at tasks requiring speed and efficiency including classification, autocompletion, simple reasoning, and data extraction. As part of the GPT-4.1 family, it maintains strong intelligence capabilities while optimizing for rapid response times and resource efficiency. With June 2024 knowledge cutoff and support for text and vision inputs, nano enables developers to build scalable applications requiring quick, accurate responses without sacrificing quality for straightforward tasks.

Official Site: https://openai.com/index/gpt-4-1/

Claude 4 Sonnet (Anthropic)

Claude Sonnet 4 is Anthropic's versatile model released in May 2025, achieving 72.7% SWE-bench performance with hybrid reasoning capabilities combining instant responses and extended thinking modes. Enhanced with superior instruction-following, tool selection, and error correction over previous versions, it excels at coding, analysis, and general-purpose tasks requiring balanced intelligence and efficiency. Supporting multimodal inputs including text, images, and documents with 200K context window, Sonnet handles complex workflows while maintaining strong performance across sustained multi-step operations. The model's hybrid approach allows users to control reasoning depth, making it ideal for diverse applications from quick queries to sophisticated problem-solving tasks.

Official Site: https://www.anthropic.com/news/claude-4

Claude 4 Opus (Anthropic)

Claude Opus 4 is Anthropic's most powerful model released in May 2025, achieving world-leading 72.5% SWE-bench performance as the best coding model available. Designed for sustained performance on multi-hour tasks requiring thousands of reasoning steps, Opus delivers exceptional capabilities for complex problem-solving, advanced coding, research, and analysis. Supporting extended context understanding with superior accuracy on long-form content, it excels at tasks demanding deep reasoning, meticulous attention to detail, and comprehensive outputs. The model maintains high-quality performance across sustained operations, making it ideal for professional developers, researchers, and enterprises requiring maximum intelligence and reliability for their most challenging workflows.

Official Site: https://www.anthropic.com/news/claude-4

Gemini 2.5 Flash (Google)

Gemini 2.5 Flash is Google's best model for price-performance balance, released in April 2025. As Google's first fully hybrid reasoning Flash model, it allows developers to toggle thinking on/off and set thinking budgets to optimize quality, cost, and latency. With a 1 million token context window and multimodal capabilities across text, images, audio, and video, it excels at large-scale processing, low-latency tasks, and agentic use cases. The model delivers major reasoning upgrades over Gemini 2.0 Flash while maintaining speed and cost-efficiency for high-volume production applications.

Official Site: https://blog.google/products/gemini/gemini-2-5-flash-preview/

Gemini 2.5 Pro (Google)

Gemini 2.5 Pro is Google's most advanced reasoning model released in March 2025. Purpose-built as a "thinking model" with enhanced reasoning as a core capability, it leads on challenging benchmarks including 18.8% on Humanity's Last Exam and 63.8% on SWE-bench Verified. With a 1 million token context window (expandable to 2 million), it excels at comprehending vast datasets and complex problems across multimodal inputs including text, images, audio, video, and code. Featuring advanced reinforcement learning and post-training techniques, it delivers state-of-the-art performance in coding, math, science, and deep reasoning for enterprise-scale applications.

Official Site: https://blog.google/technology/google-deepmind/gemini-model-thinking-updates-march-2025/