List of the Top Large Language Models for GitHub in 2026 - Page 2

GPT-6.1 Sol is OpenAI's upgraded Sol model for developers and professionals who need advanced reasoning and agentic capabilities without the higher cost of GPT-6 Astra. It is designed for coding, professional knowledge work, computer use, scientific research, factual question answering, and multi-step business workflows. OpenAI describes GPT-6.1 Sol as approaching GPT-6 Astra's intelligence across several important workloads while charging one-fifth of Astra's standard input and output token prices. On DeepSWE v1.1, which evaluates long-horizon software engineering in real codebases, GPT-6.1 Sol matches GPT-6 Astra at approximately one-fifth of the cost and exceeds GPT-6 Sol's best score by 6.4 percentage points. Its professional-work capabilities include understanding complex PDFs containing tables, charts, diagrams, and fine-print details across fields such as finance, healthcare, and legal work. On AutomationBench, GPT-6.1 Sol improves on GPT-6 Sol by 4.8 percentage points at the same reasoning setting and scores 2.2 points above Opus 5.5 at medium reasoning effort. Computer-use performance also advances significantly, with GPT-6.1 Sol outperforming GPT-6 Sol by seven percentage points on the OSWorld 2.0 offline set at maximum reasoning effort and coming within 2.1 points of GPT-6 Astra. For scientific research, the model can work with code and terminal tools on workflows involving data analysis, simulations, model fitting, and theorem proving, more than doubling GPT-6 Sol's Terminal-Bench Science 0.1 score at maximum effort. OpenAI also reports improved factual accuracy, including a reduction in the factual-error rate from 11.4% with GPT-6 Sol to 7.7% with GPT-6.1 Sol at low reasoning effort on its deliberately difficult factuality evaluation.

DeepSeek-R1 represents a state-of-the-art open-source reasoning model developed by DeepSeek, designed to rival OpenAI's Model o1. Accessible through web, app, and API platforms, it demonstrates exceptional skills in intricate tasks such as mathematics and programming, achieving notable success on exams like the American Invitational Mathematics Examination (AIME) and MATH. This model employs a mixture of experts (MoE) architecture, featuring an astonishing 671 billion parameters, of which 37 billion are activated for every token, enabling both efficient and accurate reasoning capabilities. As part of DeepSeek's commitment to advancing artificial general intelligence (AGI), this model highlights the significance of open-source innovation in the realm of AI. Additionally, its sophisticated features have the potential to transform our methodologies in tackling complex challenges across a variety of fields, paving the way for novel solutions and advancements. The influence of DeepSeek-R1 may lead to a new era in how we understand and utilize AI for problem-solving.

Claude Sonnet 4 is a breakthrough AI model, refining the strengths of Claude Sonnet 3.7 and delivering impressive results across software engineering tasks, coding, and advanced reasoning. With a robust 72.7% on SWE-bench, Sonnet 4 demonstrates remarkable improvements in handling complex tasks, clearer reasoning, and more effective code optimization. The model’s ability to execute complex instructions with higher accuracy and navigate intricate codebases with fewer errors makes it indispensable for developers. Whether for app development or addressing sophisticated software engineering challenges, Sonnet 4 balances performance and efficiency, offering an optimal solution for enterprises and individual developers seeking high-quality AI assistance.

Claude Opus 4.6 is an advanced AI language model developed by Anthropic, designed to handle complex reasoning, coding, and enterprise-level tasks with high accuracy. It introduces major improvements in planning, debugging, and code review, making it highly effective for software development workflows. The model is capable of sustaining long-running, agentic tasks and performing reliably across large and complex codebases. A key feature of Claude Opus 4.6 is its 1 million token context window in beta, enabling it to process vast amounts of information while maintaining coherence. It excels in knowledge work tasks such as financial analysis, research, and document creation. The model achieves state-of-the-art performance on multiple benchmarks, including coding and reasoning evaluations. Claude Opus 4.6 includes adaptive thinking, allowing it to dynamically adjust how deeply it reasons based on context. Developers can fine-tune performance using configurable effort levels that balance intelligence, speed, and cost. The model also supports context compaction, enabling longer workflows without exceeding limits. Integration with tools like Excel and PowerPoint enhances its usability for everyday business tasks. It maintains a strong safety profile with low rates of misaligned behavior and improved reliability. Overall, Claude Opus 4.6 is a powerful AI solution for advanced technical, analytical, and enterprise applications.

GPT-5.1 Pro represents the top tier of OpenAI’s GPT-5 generation, delivering the most advanced reasoning, depth, and analytical intelligence available in ChatGPT. It is optimized for high-stakes, high-complexity scenarios where rigorous logic and verifiable accuracy are essential. Professionals use GPT-5.1 Pro for scientific research, large-scale codebases, legal reasoning, quantitative finance, data analysis, and multi-step decision workflows that exceed the capabilities of general models. With a significantly expanded context window, GPT-5.1 Pro can ingest and analyze long documents, datasets, transcripts, and multi-file projects in a single session. The model’s reasoning engine is tuned for deeper internal deliberation, enabling structured explanations, defensible conclusions, and clearer thought processes. GPT-5.1 Pro also features enhanced adherence to instructions, producing responses that are more predictable, consistent, and aligned with user goals. Compared to Instant and Thinking modes, it is built for reliability rather than speed, prioritizing quality of reasoning over quick output. While it supports most ChatGPT tools, it is intentionally restricted from Canvas and image generation to preserve dedicated compute for reasoning-heavy tasks. GPT-5.1 Pro is exclusive to ChatGPT Pro and Business subscribers, offering unlimited access within standard safety guardrails. It is the model tier best suited for users who depend on ChatGPT as a trusted research partner and analytical assistant.

Claude Sonnet 4.6 is the latest evolution in Anthropic’s Sonnet model family, offering major advancements in coding, reasoning, computer interaction, and knowledge-intensive workflows. Designed as a full upgrade rather than an incremental update, it improves consistency, instruction following, and multi-step task completion across a broad range of professional applications. The model introduces a 1 million token context window in beta, enabling users to analyze entire codebases, long contracts, research archives, or complex planning documents in one cohesive session. Developers with early access reported a strong preference for Sonnet 4.6 over Sonnet 4.5 and even favored it over Opus 4.5 in many real-world coding tasks. Users highlighted its reduced overengineering tendencies, improved follow-through, and lower incidence of hallucinations during extended sessions. A major enhancement is its improved computer-use capability, allowing it to operate traditional software environments by interacting with graphical interfaces much like a human user. On benchmarks such as OSWorld, Sonnet models have shown steady gains in handling browser navigation, spreadsheets, and development tools. The model also demonstrates strategic reasoning improvements in long-horizon simulations, such as Vending-Bench Arena, where it optimizes early investments before pivoting toward profitability. On the Claude Developer Platform, Sonnet 4.6 supports adaptive thinking, extended thinking, and context compaction to maximize usable context length. API enhancements now include automated search filtering, code execution, memory, and advanced tool use capabilities for higher-quality outputs. Pricing remains consistent with Sonnet 4.5, making Opus-level performance more accessible to a broader user base. Available across Claude.ai, Cowork, Claude Code, the API, and major cloud platforms, Sonnet 4.6 becomes the new default model for Free and Pro users.

A community-driven marketplace empowers developers to design specialized expert LLMs that excel in technical domains, outperforming conventional AI systems in accuracy and efficiency. These Lunes continuously enhance their performance by pulling in data from a diverse array of technical knowledge resources, such as GitHub repositories and official documentation, which significantly minimizes errors in technical questions. Users benefit from reference materials similar to those available through Perplexity, while also gaining access to a variety of Lunes crafted by other contributors, spanning from those based on open-source tools to well-organized compilations of tech blog content. Additionally, individuals have the opportunity to create their own Lune by curating resources, including their own projects, to boost their visibility within the community. Our API integrates effortlessly with OpenAI’s framework, ensuring compatibility with applications like Cursor, Continue, and other tools that leverage OpenAI-compatible models. The transition of conversations from your IDE to Lune Web is seamless, greatly enhancing user interaction. Furthermore, you can earn rewards for contributions made during discussions, with compensation for every piece of feedback that receives approval. Alternatively, you might choose to launch a public Lune, allowing you to monetize it based on its popularity and the level of user engagement it garners. This groundbreaking model not only encourages collaboration among users but also incentivizes them for their knowledge and innovative contributions, fostering a dynamic ecosystem of shared expertise. Ultimately, this approach redefines how technical knowledge is shared and developed within the community.

GPT-5 mini is a faster, more affordable variant of OpenAI’s advanced GPT-5 language model, specifically tailored for well-defined and precise tasks that benefit from high reasoning ability. It accepts both text and image inputs (image input only), and generates high-quality text outputs, supported by a large 400,000-token context window and a maximum of 128,000 tokens in output, enabling complex multi-step reasoning and detailed responses. The model excels in providing rapid response times, making it ideal for use cases where speed and efficiency are critical, such as chatbots, customer service, or real-time analytics. GPT-5 mini’s pricing structure significantly reduces costs, with input tokens priced at $0.25 per million and output tokens at $2 per million, offering a more economical option compared to the flagship GPT-5. While it supports advanced features like streaming, function calling, structured output generation, and fine-tuning, it does not currently support audio input or image generation capabilities. GPT-5 mini integrates seamlessly with multiple API endpoints including chat completions, responses, embeddings, and batch processing, providing versatility for a wide array of applications. Rate limits are tier-based, scaling from 500 requests per minute up to 30,000 per minute for higher tiers, accommodating small to large scale deployments. The model also supports snapshots to lock in performance and behavior, ensuring consistency across applications. GPT-5 mini is ideal for developers and businesses seeking a cost-effective solution with high reasoning power and fast throughput. It balances cutting-edge AI capabilities with efficiency, making it a practical choice for applications demanding speed, precision, and scalability.

GPT-5 nano is OpenAI’s fastest and most cost-efficient version of the GPT-5 model, engineered to handle high-speed text and image input processing for tasks such as summarization, classification, and content generation. It features an extensive 400,000-token context window and can output up to 128,000 tokens, allowing for complex, multi-step language understanding despite its focus on speed. With ultra-low pricing—$0.05 per million input tokens and $0.40 per million output tokens—GPT-5 nano makes advanced AI accessible to budget-conscious users and developers working at scale. The model supports a variety of advanced API features, including streaming output, function calling for interactive applications, structured outputs for precise control, and fine-tuning for customization. While it lacks support for audio input and web search, GPT-5 nano supports image input, code interpretation, and file search, broadening its utility. Developers benefit from tiered rate limits that scale from 500 to 30,000 requests per minute and up to 180 million tokens per minute, supporting everything from small projects to enterprise workloads. The model also offers snapshots to lock performance and behavior, ensuring consistent results over time. GPT-5 nano strikes a practical balance between speed, cost, and capability, making it ideal for fast, efficient AI implementations where rapid turnaround and budget are critical. It fits well for applications requiring real-time summarization, classification, chatbots, or lightweight natural language processing tasks. Overall, GPT-5 nano expands the accessibility of OpenAI’s powerful AI technology to a broader user base.

GPT-5.5 Pro represents a new class of AI designed to transform how work gets done across digital environments. It combines advanced reasoning, tool usage, and task execution capabilities to handle complex, multi-step workflows with minimal human intervention. The model excels in areas such as software engineering, data analysis, business operations, and scientific research, where it can plan tasks, gather information, test solutions, and refine outputs continuously. It supports creating applications, generating reports, building spreadsheets, and navigating software systems as part of a complete workflow. A key capability is its integration with workspace agents—custom AI agents that can be built once and deployed across teams to automate entire processes. These agents can run tasks on schedules, interact with tools like CRM systems, messaging platforms, and document editors, and keep workflows moving without constant supervision. Organizations can define permissions, approval checkpoints, and monitoring to maintain control over automated processes. GPT-5.5 Pro also enhances collaboration by enabling teams to standardize workflows and scale best practices across the organization. With enterprise-grade security and governance, it ensures safe deployment in complex environments. Its ability to persist through ambiguity and long tasks makes it highly effective for execution-heavy work. By reducing manual intervention and increasing speed, it allows teams to focus on higher-value activities. Ultimately, GPT-5.5 Pro enables businesses and professionals to operate at a significantly higher level of productivity and efficiency.

StarCoder and StarCoderBase are sophisticated Large Language Models crafted for coding tasks, built from freely available data sourced from GitHub, which includes an extensive array of over 80 programming languages, along with Git commits, GitHub issues, and Jupyter notebooks. Similarly to LLaMA, these models were developed with around 15 billion parameters trained on an astonishing 1 trillion tokens. Additionally, StarCoderBase was specifically optimized with 35 billion Python tokens, culminating in the evolution of what we now recognize as StarCoder. Our assessments revealed that StarCoderBase outperforms other open-source Code LLMs when evaluated against well-known programming benchmarks, matching or even exceeding the performance of proprietary models like OpenAI's code-cushman-001 and the original Codex, which was instrumental in the early development of GitHub Copilot. With a remarkable context length surpassing 8,000 tokens, the StarCoder models can manage more data than any other open LLM available, thus unlocking a plethora of possibilities for innovative applications. This adaptability is further showcased by our ability to engage with the StarCoder models through a series of interactive dialogues, effectively transforming them into versatile technical aides capable of assisting with a wide range of programming challenges. Furthermore, this interactive capability enhances user experience, making it easier for developers to obtain immediate support and insights on complex coding issues.

OpenAI’s GPT-5 is the latest flagship AI language model, delivering unprecedented intelligence, speed, and versatility for a broad spectrum of tasks including coding, scientific inquiry, legal research, and financial analysis. It is engineered with built-in reasoning capabilities, allowing it to provide thoughtful, accurate, and context-aware responses that rival expert human knowledge. GPT-5 supports very large context windows—up to 400,000 tokens—and can generate outputs of up to 128,000 tokens, enabling complex, multi-step problem solving and long-form content creation. A novel ‘verbosity’ parameter lets users customize the length and depth of responses, while enhanced personality and steerability features improve user experience and interaction. The model integrates natively with enterprise software and cloud storage services such as Google Drive and SharePoint, leveraging company-specific data to deliver tailored insights securely and in compliance with privacy standards. GPT-5 also excels in agentic tasks, making it ideal for developers building advanced AI applications that require autonomy and multi-step decision-making. Available across ChatGPT, API, and developer tools, it transforms workflows by enabling employees to achieve expert-level results without switching between different models. Businesses can trust GPT-5 for critical work, benefiting from its safety improvements, increased accuracy, and deeper understanding. OpenAI continues to support a broad ecosystem, including specialized versions like GPT-5 mini and nano, to meet varied performance and cost needs. Overall, GPT-5 sets a new standard for AI-powered intelligence, collaboration, and productivity.

Yi-Large is a cutting-edge proprietary large language model developed by 01.AI, boasting an impressive context length of 32,000 tokens and a pricing model set at $2 per million tokens for both input and output. Celebrated for its exceptional capabilities in natural language processing, common-sense reasoning, and multilingual support, it stands out in competition with leading models like GPT-4 and Claude3 in diverse assessments. The model excels in complex tasks that demand deep inference, precise prediction, and thorough language understanding, making it particularly suitable for applications such as knowledge retrieval, data classification, and the creation of conversational chatbots that closely resemble human communication. Utilizing a decoder-only transformer architecture, Yi-Large integrates advanced features such as pre-normalization and Group Query Attention, having been trained on a vast, high-quality multilingual dataset to optimize its effectiveness. Its versatility and cost-effective pricing make it a powerful contender in the realm of artificial intelligence, particularly for organizations aiming to adopt AI technologies on a worldwide scale. Furthermore, its adaptability across various applications highlights its potential to transform how businesses utilize language models for an array of requirements, paving the way for innovative solutions in the industry. Thus, Yi-Large not only meets but also exceeds expectations, solidifying its role as a pivotal tool in the advancements of AI-driven communication.

Canopy Labs has introduced Orpheus, a groundbreaking collection of advanced speech large language models (LLMs) designed to replicate human-like speech generation. Built on the Llama-3 architecture, these models have been developed using a vast dataset of over 100,000 hours of English speech, enabling them to produce output with natural intonation, emotional nuance, and a rhythmic quality that surpasses current high-end closed-source models. One of the standout features of Orpheus is its zero-shot voice cloning capability, which allows users to replicate voices without needing any prior fine-tuning, alongside user-friendly tags that assist in manipulating emotion and intonation. Engineered for minimal latency, these models achieve around 200ms streaming latency for real-time applications, with potential reductions to approximately 100ms when input streaming is employed. Canopy Labs offers both pre-trained and fine-tuned models featuring 3 billion parameters under the adaptable Apache 2.0 license, and there are plans to develop smaller models with 1 billion, 400 million, and 150 million parameters to accommodate devices with limited processing power. This initiative is anticipated to enhance accessibility and expand the range of applications across diverse platforms and scenarios, making advanced speech generation technology more widely available. As technology continues to evolve, the implications of such advancements could significantly influence fields such as entertainment, education, and customer service.

The MiniMax‑M1 model, created by MiniMax AI and available under the Apache 2.0 license, marks a remarkable leap forward in hybrid-attention reasoning architecture. It boasts an impressive ability to manage a context window of 1 million tokens and can produce outputs of up to 80,000 tokens, which allows for thorough examination of extended texts. Employing an advanced CISPO algorithm, the MiniMax‑M1 underwent an extensive reinforcement learning training process, utilizing 512 H800 GPUs over a span of about three weeks. This model establishes a new standard in performance across multiple disciplines, such as mathematics, programming, software development, tool utilization, and comprehension of lengthy contexts, frequently equaling or exceeding the capabilities of top-tier models currently available. Furthermore, users have the option to select between two different variants of the model, each featuring a thinking budget of either 40K or 80K tokens, while also finding the model's weights and deployment guidelines accessible on platforms such as GitHub and Hugging Face. Such diverse functionalities render MiniMax‑M1 an invaluable asset for both developers and researchers, enhancing their ability to tackle complex tasks effectively. Ultimately, this innovative model not only elevates the standards of AI-driven text analysis but also encourages further exploration and experimentation in the realm of artificial intelligence.

The newest version in the GPT-5 lineup, referred to as GPT-5.1, seeks to greatly improve the cognitive and conversational skills of ChatGPT. This upgrade introduces two distinct model types: GPT-5.1 Instant, which has become the favored choice due to its friendly tone, better adherence to instructions, and enhanced intelligence; conversely, GPT-5.1 Thinking has been optimized as a sophisticated reasoning engine, facilitating easier comprehension, faster responses for simpler queries, and greater diligence when addressing intricate problems. Moreover, user inquiries are now smartly routed to the model variant that is most suited for the specific task, ensuring efficiency and accuracy. This update not only enhances fundamental cognitive abilities but also fine-tunes the style of interaction, leading to models that are more pleasant to engage with and more in tune with user desires. Importantly, the system card supplement reveals that GPT-5.1 Instant features a mechanism called "adaptive reasoning," which helps it recognize when deeper contemplation is warranted before crafting its reply, while GPT-5.1 Thinking precisely tailors its reasoning duration based on the complexity of the question asked. These innovations signify a considerable leap in the quest to make AI interactions more seamless, enjoyable, and user-centric, paving the way for future developments in conversational AI technology.

The Thinking variant of GPT-5.2 stands as the highest achievement in OpenAI's GPT-5.2 series, meticulously crafted for thorough reasoning and the management of complex tasks across a diverse range of professional fields and elaborate contexts. Key improvements to the foundational GPT-5.2 framework enhance aspects such as grounding, stability, and overall reasoning quality, enabling this iteration to allocate more computational power and analytical resources to generate responses that are not only precise but also well-organized and rich in context, particularly useful when navigating intricate workflows and multi-step evaluations. With a strong emphasis on maintaining logical coherence, GPT-5.2 Thinking excels in comprehensive research synthesis, sophisticated coding and debugging, detailed data analysis, strategic planning, and high-caliber technical writing, offering a notable advantage over simpler models in scenarios that assess professional proficiency and deep knowledge. This cutting-edge model proves indispensable for experts aiming to address complex challenges with a high degree of accuracy and skill. Ultimately, GPT-5.2 Thinking redefines the capabilities expected in advanced AI applications, making it a valuable asset in today's fast-evolving professional landscape.

The GPT-5.2 Instant model is a rapid and effective evolution in OpenAI's GPT-5.2 series, specifically designed for everyday tasks and learning, and it demonstrates significant improvements in handling inquiries, offering how-to assistance, producing technical documents, and facilitating translation tasks when compared to its predecessors. This latest model expands on the engaging conversational approach seen in GPT-5.1 Instant, providing clearer explanations that emphasize key details, which allows users to access accurate answers more swiftly. Its improved speed and responsiveness enable it to efficiently manage common functions like answering questions, generating summaries, assisting with research, and supporting writing and editing endeavors, while also incorporating comprehensive advancements from the wider GPT-5.2 collection that enhance reasoning capabilities, manage lengthy contexts, and ensure factual correctness. Being part of the GPT-5.2 family, this model enjoys the benefits of collective foundational enhancements that boost its reliability and performance across a range of daily tasks. Users will find that the interaction experience is more intuitive and that they can significantly decrease the time spent looking for information. Overall, the advancements in this model not only streamline processes but also empower users to engage more effectively with technology in their daily routines.

The latest iteration of OpenAI's GPT model family, known as GPT-5.2 Pro, emerges as the pinnacle of advanced AI technology, specifically crafted to deliver outstanding reasoning abilities, manage complex tasks, and attain superior accuracy for high-stakes knowledge work, inventive problem-solving, and enterprise-level applications. This Pro version builds on the foundational improvements of the standard GPT-5.2, showcasing enhanced general intelligence, a better grasp of extended contexts, more reliable factual grounding, and optimized tool utilization, all driven by increased computational power and deeper processing capabilities to provide nuanced, trustworthy, and context-aware responses for users with intricate, multi-faceted requirements. In particular, GPT-5.2 Pro is adept at handling demanding workflows, which encompass sophisticated coding and debugging, in-depth data analysis, consolidation of research findings, meticulous document interpretation, and advanced project planning, while consistently ensuring higher accuracy and lower error rates than its less powerful variants. Consequently, this makes GPT-5.2 Pro an indispensable asset for professionals who aim to maximize their efficiency and confidently confront significant challenges in their endeavors. Moreover, its capacity to adapt to various industries further enhances its utility, making it a versatile tool for a broad range of applications.

Gemini 3 Flash is Google’s high-speed frontier AI model designed to make advanced intelligence widely accessible. It merges Pro-grade reasoning with Flash-level responsiveness, delivering fast and accurate results at a lower cost. The model performs strongly across reasoning, coding, vision, and multimodal benchmarks. Gemini 3 Flash dynamically adjusts its computational effort, thinking longer for complex problems while staying efficient for routine tasks. This flexibility makes it ideal for agentic systems and real-time workflows. Developers can build, test, and deploy intelligent applications faster using its low-latency performance. Enterprises gain scalable AI capabilities without the overhead of slower, more expensive models. Consumers benefit from instant insights across text, image, audio, and video inputs. Gemini 3 Flash powers smarter search experiences and creative tools globally. It represents a major step forward in delivering intelligent AI at speed and scale.

Claude Opus 4.1 marks a significant iterative improvement over its earlier version, Claude Opus 4, with a focus on enhancing capabilities in coding, agentic reasoning, and data analysis while keeping deployment straightforward. This latest iteration achieves a remarkable coding accuracy of 74.5 percent on the SWE-bench Verified, alongside improved research depth and detailed tracking for agentic search operations. Additionally, GitHub has noted substantial progress in multi-file code refactoring, while Rakuten Group highlights its proficiency in pinpointing precise corrections in large codebases without introducing errors. Independent evaluations show that the performance of junior developers has seen an increase of about one standard deviation relative to Opus 4, indicating meaningful advancements that align with the trajectory of past Claude releases.

GPT-5 Pro is OpenAI’s flagship AI model built to deliver exceptional reasoning power and precision for the most complex and nuanced problems across numerous domains. Utilizing advanced parallel computing techniques, it extends the GPT-5 architecture to think longer and more deeply, resulting in highly accurate and comprehensive responses on challenging tasks such as advanced science, health diagnostics, coding, and mathematics. This model consistently outperforms its predecessors on rigorous benchmarks like GPQA and expert evaluations, reducing major errors by 22% and gaining preference from external experts nearly 68% of the time over GPT-5 thinking. GPT-5 Pro is designed to adapt dynamically, determining when to engage extended reasoning for queries that benefit from it while balancing speed and depth. Beyond its technical prowess, it incorporates enhanced safety features, lowering hallucination rates and providing transparent communication when limits are reached or tasks cannot be completed. The model supports Pro users with unlimited access and integrates seamlessly into ChatGPT’s ecosystem, including Codex CLI for coding applications. GPT-5 Pro also benefits from improvements in reducing excessive agreeableness and sycophancy, making interactions feel natural and thoughtful. With extensive red-teaming and rigorous safety protocols, it is prepared to handle sensitive and high-stakes use cases responsibly. This model is ideal for researchers, developers, and professionals seeking the most reliable, insightful, and powerful AI assistant. GPT-5 Pro marks a major step forward in AI’s ability to augment human intelligence across complex real-world challenges.

GPT-5 Thinking represents the advanced reasoning layer within the GPT-5 architecture, purpose-built to address intricate, nuanced, and open-ended problems requiring extended cognitive effort and multi-step analysis. This model operates in tandem with the more efficient base GPT-5, selectively engaging for questions where deeper consideration yields significantly better results. By harnessing sophisticated reasoning techniques, GPT-5 Thinking achieves substantially lower hallucination rates—about six times fewer than earlier models—resulting in more consistent and trustworthy long-form content. It is designed to be highly self-aware, accurately recognizing the boundaries of its capabilities and communicating transparently when requests are impossible or lack sufficient context. The model integrates robust safety mechanisms developed through extensive red-teaming and threat modeling, ensuring it delivers helpful yet responsible answers across sensitive domains like biology and chemistry. Users benefit from its enhanced ability to follow complex instructions and adapt responses based on context, knowledge level, and user intent. GPT-5 Thinking also reduces excessive agreeableness and sycophancy, creating a more genuine and intellectually satisfying conversational experience. This thoughtful approach enables it to navigate ambiguous or potentially dual-use queries with greater nuance and fewer unnecessary refusals. Available to all users within ChatGPT, GPT-5 Thinking elevates the platform’s capacity to serve both casual inquiries and expert-level tasks. Overall, it brings expert reasoning power into the hands of everyone, improving accuracy, helpfulness, and safety in AI interactions.

Claude Sonnet 4.5 marks a significant milestone in Anthropic's development of artificial intelligence, designed to excel in intricate coding environments, multifaceted workflows, and demanding computational challenges while emphasizing safety and alignment. This model establishes new standards, showcasing exceptional performance on the SWE-bench Verified benchmark for software engineering and achieving remarkable results in the OSWorld benchmark for computer usage; it is particularly noteworthy for its ability to sustain focus for over 30 hours on complex, multi-step tasks. With advancements in tool management, memory, and context interpretation, Claude Sonnet 4.5 enhances its reasoning capabilities, allowing it to better understand diverse domains such as finance, law, and STEM, along with a nuanced comprehension of coding complexities. It features context editing and memory management tools that support extended conversations or collaborative efforts among multiple agents, while also facilitating code execution and file creation within Claude applications. Operating at AI Safety Level 3 (ASL-3), this model is equipped with classifiers designed to prevent interactions involving dangerous content, alongside safeguards against prompt injection, thereby enhancing overall security during use. Ultimately, Sonnet 4.5 represents a transformative advancement in intelligent automation, poised to redefine user interactions with AI technologies and broaden the horizons of what is achievable with artificial intelligence. This evolution not only streamlines complex task management but also fosters a more intuitive relationship between technology and its users.

GPT-5.1 Instant is a cutting-edge AI model designed specifically for everyday users, combining quick response capabilities with a heightened sense of conversational warmth. Its ability to adaptively reason enables it to gauge the necessary computational effort for various tasks, ensuring that responses are both timely and deeply comprehensible. By emphasizing improved adherence to instructions, users can offer detailed information and expect consistent and reliable execution. Additionally, the model incorporates expanded personality controls that allow users to tailor the chat tone to options such as Default, Friendly, Professional, Candid, Quirky, or Efficient, with ongoing experiments aimed at refining voice modulation further. The primary objective is to foster interactions that feel more natural and less robotic, all while delivering strong intelligence in writing, coding, analysis, and reasoning tasks. Moreover, GPT-5.1 Instant adeptly handles user requests through its main interface, intelligently deciding whether to utilize this version or the more intricate “Thinking” model based on the specific context of the inquiry. Furthermore, this innovative methodology significantly enhances the user experience by making communications more engaging and personalized according to individual preferences, ultimately transforming how users interact with AI.