OpenAI Internal Memo Leaked: Codenamed “Spud” Model Aims to Counter Claude Mythos, Full-Scale Counteroffensive Against Anthropic Planned for 2026

15.Apr.2026 03:222 min read

A leaked internal OpenAI memo reveals that the company plans to directly compete with Anthropic in Q2 2026 by launching a new reasoning model codenamed “Spud” and building the Frontier enterprise-grade Agent platform. The memo also criticizes Anthropic on issues including computational resources, ecosystem partnerships, and revenue metrics.

OpenAI Internal Memo Leaked: Codenamed “Spud” Model Aims to Counter Claude Mythos, Full-Scale Counteroffensive Against Anthropic Planned for 2026

According to a leaked internal OpenAI memo, Chief Revenue Officer Dennis Dresser has outlined the company’s strategic roadmap for Q2 2026. The document reveals that OpenAI is preparing a full-scale counteroffensive against competitor Anthropic in the enterprise market through technological iteration and ecosystem partnerships.

Codename Spud: A New Flagship Reasoning Model

The memo discloses a new AI model codenamed Spud (widely speculated to be GPT-5o or GPT-5.5). The model is explicitly positioned to compete directly with Anthropic’s Claude Mythos as a core flagship offering.

  • Built on Blackwell architecture: Spud is reportedly trained using NVIDIA’s Blackwell chips.

  • Performance gains: Early customer feedback indicates stronger performance in complex reasoning, intent recognition, and production-grade reliability.

  • SuperApp vision: OpenAI plans to deeply integrate Spud into its core product ecosystem, accelerating the evolution of its offerings toward a unified “SuperApp” experience.

Frontier Platform: Building Enterprise-Grade Agent Infrastructure

Beyond model upgrades, OpenAI is also developing an Agent platform called Frontier, aiming to become the default infrastructure layer for enterprise autonomous agents.

  • Compute advantage: Leveraging its compute capacity to offer higher token limits and lower latency.

  • Governance and orchestration: Strengthening orchestration, control, and security governance capabilities for complex real-world business workflows.

On partnership strategy, Dresser reportedly expressed a nuanced view of OpenAI’s relationship with Microsoft, suggesting that excessive reliance on Microsoft could limit OpenAI’s ability to reach a broader range of customer scenarios.

  • Amazon Bedrock: Since launching collaboration in late February, demand has reportedly been strong.

  • Stateful Runtime Environment: The memo highlights Amazon’s stateful runtime support for cross-interaction memory and contextual continuity, which helps lower adoption barriers for customers in regulated industries.

Direct Confrontation: Multiple Critiques of Anthropic

The memo also includes several pointed criticisms of Anthropic:

  • Compute bottlenecks: It claims Anthropic failed to secure sufficient compute resources, resulting in customer rate limits—described as a “strategic misstep.”

  • Market positioning: It argues that Anthropic’s early focus on coding tools may leave it at a disadvantage in broader platform competition.

  • Revenue reporting concerns: The memo questions Anthropic’s reported $30 billion revenue run rate, suggesting that including revenue shares allocated to Amazon and Google does not align with standard public-company net revenue recognition practices.

The leak of this memo signals that in 2026, the global AI race is shifting from a narrow focus on “parameter scale” to a broader competition centered on enterprise deployment capabilities and ecosystem infrastructure.