Feature-Completeness Framework: Own the definition of a "fully featured" model across speed, efficiency, model infrastructure, cloud and API features, for example tool calling, JSON schema and constrained decoding, reasoning controls, full context length, prompt caching, speculative decoding, streaming, logprobs and API compatibility (OpenAI Chat, Responses, Anthropic). Market and Model Intelligence: Track the open-weight model landscape (new releases, architectures such as MoE, MLA and GQA, benchmark and usage signals from sources like Artificial Analysis, OpenRouter and Hugging Face) and form a clear view on what matters and why.