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▶ 2:28 · $DEEPSEEK · DeepSeek models serve as efficient workhorses for small detailed coding tasks

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Meta's MuseCode trails frontier coding agents by a generation but offers speed and cost advantages

Meta's new MuseCode coding agent powered by MuseSpark 1.2 is capable and fast at 180 tokens/second with cheap pricing, but lags frontier models from Anthropic and OpenAI by a gene…

$SPCX···bullish· lowmax weinbach

xAI's Grok Build offers capable coding harness with subsidized token economics

Max notes Grok Build as a comparable coding harness to MuseCode and highlights its heavily subsidized token pricing via Cursor, making it cost-effective for heavy usage.

$ANTHROPICbullish· mediummax weinbach

Anthropic's Claude models lead in design and multi-file workflow orchestration

Max rates Anthropic's Claude models as superior for design tasks and large-scale multi-file workflows with sub-agents, making them the go-to for complex refactors.

$OPENAIbullish· mediummax weinbach

OpenAI's Codex and GPT-5.2 trusted for autonomous complex task execution

Max prefers OpenAI's Codex and ChatGPT when starting from scratch on complicated tasks, trusting them to figure out solutions autonomously without detailed direction.

$DEEPSEEKbullish· lowmax weinbach

DeepSeek models serve as efficient workhorses for small detailed coding tasks

Max compares MuseCode favorably to DeepSeek models as good workhorses for small, detailed tasks like updates and refactors when given specific direction.

$CURSORbullish· mediummax weinbach

Cursor's harness best aligns with real engineering workflows per analyst

Max finds Cursor's harness more directed toward how real engineers work, combining both Claude and Codex models with better directional features for practical development.

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