Anthropic's Claude Opus 4.7 Now Available on GitHub Copilot with 7.5x Premium Multiplier Through April 30
Key Takeaways
- ▸Claude Opus 4.7 is rolling out on GitHub Copilot with enhanced multi-step reasoning and agentic execution capabilities
- ▸The model features a 7.5x premium request multiplier as promotional pricing until April 30th
- ▸Opus 4.7 will replace previous versions (4.5 and 4.6) as Anthropic streamlines its model lineup for improved service reliability
Summary
Anthropic has launched Claude Opus 4.7, its latest flagship model, on GitHub Copilot with promotional pricing featuring a 7.5x premium request multiplier available through April 30th. The new model will gradually replace Opus 4.5 and Opus 4.6 across Copilot Pro+, Business, and Enterprise plans. According to Anthropic's early testing, Opus 4.7 delivers stronger multi-step task performance, more reliable agentic execution, and meaningful improvements in long-horizon reasoning and complex tool-dependent workflows compared to its predecessors.
The rollout is part of Anthropic's broader effort to streamline model offerings and ensure service reliability while providing users with state-of-the-art coding capabilities. Opus 4.7 will be accessible through GitHub Copilot's Coding Agent, as well as GitHub Mobile on iOS and Android. Enterprise and Business administrators will need to enable the Claude Opus 4.7 policy in their Copilot settings to grant user access.
- The update is available to Copilot Pro+, Business, and Enterprise users across web, mobile, and coding agent interfaces
Editorial Opinion
The launch of Opus 4.7 on GitHub Copilot represents a significant competitive move by Anthropic to deepen its integration with one of the world's most widely-used developer platforms. The 7.5x multiplier during the promotional period creates strong incentive for developers to experiment with the model's enhanced capabilities, potentially driving adoption before standard pricing takes effect. The focus on agentic execution and multi-step reasoning is particularly noteworthy, as these capabilities are increasingly critical for complex coding workflows and autonomous task automation.
