Anthropic model provider or AI organization tracked by Breaking Vibe.
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Anthropic model provider or AI organization tracked by Breaking Vibe.
Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max,...
Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...
This model always redirects to the latest model in the Claude Fable family.
Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...
Fast-mode variant of [Opus 4.8](/anthropic/claude-opus-4.8) - identical capabilities with higher output speed at 2x pricing relative to regular Opus 4.8. Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode
Fast-mode variant of [Opus 4.7](/anthropic/claude-opus-4.7) - identical capabilities with higher output speed at premium 6x pricing. Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode
This model always redirects to the latest model in the Anthropic Claude Haiku family.
This model always redirects to the latest model in the Anthropic Claude Sonnet family.
This model always redirects to the latest model in the Claude Opus family.
Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...
Fast-mode variant of [Opus 4.6](/anthropic/claude-opus-4.6) - identical capabilities with higher output speed at premium 6x pricing. Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode
Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with...
Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...
Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and...
Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...
Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...
Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains...
Claude Opus 4 is benchmarked as the world’s best coding model, at time of release, bringing sustained performance on complex, long-running tasks and agent workflows. It sets new benchmarks in...
Claude Sonnet 4 significantly enhances the capabilities of its predecessor, Sonnet 3.7, excelling in both coding and reasoning tasks with improved precision and controllability. Achieving state-of-the-art performance on SWE-bench (72.7%),...
Claude 3.5 Haiku features offers enhanced capabilities in speed, coding accuracy, and tool use. Engineered to excel in real-time applications, it delivers quick response times that are essential for dynamic...
A practical guide comparing OpenAI, Anthropic, Google, and open-source models for coding tasks, with a decision framework to help you choose based on your budget and complexity needs.
A practical guide to understanding context windows in AI coding assistants and how they impact your ability to work on large codebases.
A practical comparison of OpenAI, Anthropic, Google, and local models for coding, with a decision framework to balance cost and capability.
A practical, opinionated guide to selecting between Anthropic, OpenAI, Google, and open-source models for coding—balancing cost, capability, latency, and privacy.
A practical, opinionated guide to evaluating and selecting AI model providers for coding tasks, balancing performance, pricing, and workflow fit.
A practical guide to selecting the right AI model provider for coding tasks, balancing performance with budget.
Not all AI coding models are created equal—here's how to balance cost, capability, and context size for your vibe coding projects.
A practical guide to comparing AI model providers for vibe coding, with a cost-capability framework and provider comparison table.
A practical guide to evaluating AI model providers for coding tasks, balancing cost, performance, speed, and features.
A practical comparison of OpenAI, Anthropic, Google, and open-source models for coding workloads, with a decision framework based on cost, capability, and use case.
A practical guide to comparing AI coding model providers, balancing performance with pricing for real-world development workflows.
A practical guide to balancing price and performance when selecting AI coding assistants from providers like OpenAI, Anthropic, and Google.