Claude Fable 5.2 vs. GPT-6 Sol Comparison


Claude Fable 5.2 Anthropic 5.0 out of 5 stars	GPT-6 Sol OpenAI 5.0 out of 5 stars	+	+
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About Claude Fable 5.2 is an advanced AI reasoning model developed by Anthropic for complex software engineering, scientific research, technical problem-solving, and autonomous agent workflows. The model provides improvements in coding, mathematical reasoning, visual understanding, and long-running task execution compared with previous Claude Fable models. Its agentic capabilities allow AI systems to analyze large codebases, coordinate multiple subagents, develop software, investigate technical problems, and automate complex business processes. Claude Fable 5.2 generates outputs up to 30% faster than Fable 5.1 and offers an optional fast mode that increases generation speed by up to 2.5 times. The model includes configurable reasoning effort, advanced tool use, and specialized cybersecurity and biology safeguards designed to reduce misuse while supporting general technical work.	About GPT-6 Sol is an OpenAI model designed to bring GPT-6-class intelligence to professional work, coding, computer use, and agentic workflows at a lower cost than GPT-6 Astra. The model improves on GPT-5.6 Sol in factual reliability, software engineering, business automation, and long-horizon computer tasks. Developers can adjust reasoning effort depending on task complexity, allowing Sol to allocate more computation to difficult problems while using less for simpler work. GPT-6 Sol also introduces a clearer collaboration style with less jargon, fewer unnecessary details, and more concise technical communication. Improved prompt caching helps agents reuse long contexts more efficiently while reducing latency and cached-input costs. GPT-6 Sol is available through ChatGPT Work, Codex, and the OpenAI API as gpt-6-sol.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Software engineers, AI developers, machine learning researchers, autonomous agent developers, scientific researchers, mathematicians, data scientists, robotics engineers, hardware designers, DevOps professionals, enterprise technology teams, and organizations seeking frontier AI reasoning, autonomous software engineering, complex research automation, advanced coding, technical analysis, and multi-agent workflow orchestration	Audience Software developers, AI engineers, agent builders, analysts, knowledge workers, enterprises, and application developers that need advanced reasoning, coding, computer use, and professional workflow capabilities at a lower cost than OpenAI’s highest-end GPT-6 model
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing $8 per 1M tokens (input) $8 per million input tokens and $40 per million output tokens Free Version Not Supported Free Trial Not Supported	Pricing $2 per 1M tokens (input) Input: $2 per 1 million tokens Output: $10 per 1 million tokens Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 Read all reviews	Reviews/Ratings Overall 5.0 / 5 features 5.0 / 5 Read all reviews
Pros & Cons from Real Users Pros Fable 5.2 feels like the model I reach for when I have something genuinely difficult and do not want to babysit it the whole way through. The biggest upgrade for me is how well it handles ambiguous, long-running work. I can give it a messy engineering task or a loose idea and it does a much better job figuring out the path, delegating pieces, correcting itself, and actually getting to the finish line. Cons My only complaint is that this is still a model I would save for the hard stuff. Anthropic itself recommends starting with Opus 5.5 for normal coding and knowledge work, then stepping up to Fable when the task really justifies it.	Pros & Cons from Real Users Pros What I like most is that it gives me a lot of Astra’s capability without feeling like I am burning premium-model money on every task. I have been using it for coding, agent workflows, research, and larger technical projects where I need strong reasoning but still care about speed and cost. Tool support is another big strength. Sol can work with web search, files, code execution, shell access, computer use, MCP, and function calling, so it feels much more useful as an agent model than something that only generates text. Cons The only real downside is that when I am dealing with the absolute hardest reasoning problem, I may still step up to Astra. But for most serious day-to-day development and agent work, Sol is the model I would rather run heavily.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Anthropic Founded: 2021 United States claude.ai	Company Information OpenAI Founded: 2015 United States openai.com
Alternatives Gemini 4 Carbon Google	Alternatives Claude Fable 5.2 Anthropic 5.0 out of 5 stars
GPT-6.1 Terra OpenAI 5.0 out of 5 stars	Gemini 4 Carbon Google
GPT-6.1 Sol OpenAI 5.0 out of 5 stars	GPT-6.1 Terra OpenAI 5.0 out of 5 stars
Claude Fable 5.1 Anthropic 5.0 out of 5 stars	GPT-6 Luna OpenAI 5.0 out of 5 stars
Claude Fable 5 Anthropic 5.0 out of 5 stars View All	GPT-6.1 Sol OpenAI 5.0 out of 5 stars View All
Categories AI Coding Models Supported AI Models Supported AI Reasoning Models Supported AI Vision Models Supported Foundation Models Supported Large Language Models Supported Multimodal Models Supported	Categories AI Coding Models Supported AI Models Supported AI Reasoning Models Supported AI Vision Models Supported Foundation Models Supported Large Language Models Supported Multimodal Models Supported

Integrations .NET Supported C# Supported Claw Code Supported Cursor Supported GitHub Supported Go Supported Hermes Agent Supported IntelliJ IDEA Supported JetBrains Junie Supported Microsoft Foundry Supported Objective-C Supported OpenClaw Supported Perplexity Computer Supported Pi Agent Supported PowerShell Supported Ruby Supported Rust Supported Solidity Supported Verdent Supported YAML Supported Show More Integrations View All 143 Integrations	Integrations .NET Supported C# Supported Claw Code Supported Cursor Supported GitHub Supported Go Supported Hermes Agent Supported IntelliJ IDEA Supported JetBrains Junie Supported Microsoft Foundry Supported Objective-C Supported OpenClaw Supported Perplexity Computer Supported Pi Agent Supported PowerShell Supported Ruby Supported Rust Supported Solidity Supported Verdent Supported YAML Supported Show More Integrations View All 128 Integrations
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