Claude Fable 5 vs. GPT-6.1 Sol Comparison


Claude Fable 5 Anthropic	GPT-6.1 Sol OpenAI	+	+
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About Claude Fable 5 is an advanced AI model from Anthropic designed to assist with software engineering, research, knowledge work, vision tasks, and complex reasoning. Built on the Mythos-class architecture, it delivers significantly improved performance across coding, analysis, and long-context workflows. The model can handle extended autonomous tasks while maintaining focus and consistency over large amounts of information. Claude Fable 5 integrates advanced reasoning, multimodal understanding, and memory capabilities to support professional and enterprise use cases. Anthropic has implemented specialized safeguards that automatically route certain high-risk cybersecurity, biology, chemistry, and model distillation requests to a different model. Claude Fable 5 helps organizations and professionals accelerate complex work while maintaining strong safety and governance controls.	About GPT-6.1 Sol is an OpenAI model designed to deliver near-GPT-6 Astra intelligence at substantially lower cost across coding, professional work, computer use, scientific research, and agentic workflows. It improves on GPT-6 Sol across complex tasks such as software engineering, document analysis, multi-step business automation, and computer interaction. On DeepSWE v1.1, GPT-6.1 Sol matches GPT-6 Astra at roughly one-fifth of the cost while exceeding GPT-6 Sol's best score by 6.4 percentage points at a lower reasoning effort. The model also improves computer use, outperforming GPT-6 Sol by seven percentage points on the OSWorld 2.0 offline set at maximum reasoning effort while costing less than half as much per task. GPT-6.1 Sol provides improved factuality and alignment, including greater transparency about limitations and stronger adherence to user instructions during agentic tasks. It is available through ChatGPT Work, Codex, and the OpenAI API.
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 Claude Fable 5 is designed for software engineers, researchers, enterprise organizations, data analysts, scientists, product teams, developers, business professionals, knowledge workers, and organizations seeking advanced AI for coding, research, automation, analysis, and enterprise productivity	Audience Software developers, engineers, researchers, enterprises, AI application builders, professional knowledge workers, and agent developers that need advanced coding, reasoning, computer-use, scientific, document-analysis, and business-automation capabilities
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 $10 per 1 million (input) $10 per million input tokens and $50 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 Cached Input: $0.10 per 1 million cached input tokens Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews	Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 Read all reviews
Pros & Cons from Real Users Pros Claude Fable 5 is the most capable coding model I've used for complex software development. It understands large codebases remarkably well and can maintain context across long implementation sessions without losing track of requirements. The model excels at architecture discussions, debugging difficult issues, and generating production-quality code. Its reasoning feels more deliberate than many competing models, making it especially valuable for backend development, refactoring, and technical design work. I was particularly impressed by its ability to handle multi-step engineering tasks. Instead of solving problems one prompt at a time, it often anticipates edge cases and implementation details before I ask. Cons The safety guardrails can occasionally get in the way of legitimate security-related development work. Certain cybersecurity topics may be redirected to a less capable model, which can interrupt advanced technical workflows. Pricing is also higher than previous Claude models, which may be a consideration for teams with heavy API usage. Like any AI coding assistant, it still requires careful review of generated code before deployment, especially for critical production systems.	Pros & Cons from Real Users Pros The biggest improvement for me is that it gets very close to Astra-level performance without Astra-level pricing. I can use it for serious coding, research, computer-use tasks, and long agent workflows without feeling like every run needs to be reserved for something mission-critical. The 1.05M-token context window is still a huge advantage. I can keep large repos, specs, logs, documentation, and a lot of prior agent work in context without constantly trimming things down. I also really like the new multi-agent support. Being able to let Sol delegate parts of a bigger task to subagents makes it much more useful for complicated projects where research, coding, testing, and analysis can happen in parallel. Cons The main downside is that Astra is still the model I would reach for when I absolutely want maximum capability and cost is secondary. Sol also no longer supports the none or minimal reasoning settings, so it is less suited to truly lightweight work than Luna.
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 Argon Google	Alternatives Gemini 4 Argon Google
Claude Sonnet 5.5 Anthropic	Claude Sonnet 5.5 Anthropic
Claude Fable 5.1 Anthropic	Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
Claude Mythos 5 Anthropic View All	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 AiAssistWorks Supported Amazon Bedrock Supported Amp Supported Augment Code Supported Bash Supported C Supported C++ Supported CSS Supported Cursor Supported Devin Supported GitHub Copilot Supported Hermes Agent Supported Lovable Supported Microsoft Foundry Supported OpenClaw Supported Perplexity Pro Supported R Supported TypeScript Supported XML Supported Show More Integrations View All 141 Integrations	Integrations .NET Supported AiAssistWorks Supported Amazon Bedrock Supported Amp Supported Augment Code Supported Bash Supported C Supported C++ Supported CSS Supported Cursor Supported Devin Supported GitHub Copilot Supported Hermes Agent Supported Lovable Supported Microsoft Foundry Supported OpenClaw Supported Perplexity Pro Supported R Supported TypeScript Supported XML Supported Show More Integrations View All 128 Integrations
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