Recently, the domestic model
Key Highlights: Dual Evolution in Software Engineering and Professional Office Work
Software Engineering "Near-Expert": It scored 56.22% in the SWE-Pro benchmark test, approaching the level of top models like Opus. It performs well in analyzing bugs, code security, and end-to-end project delivery (VIBE-Pro 55.6%).
Deep Office Adaptation: It achieved an ELO score of 1495 in GDPval-AA, ranking among the leading open-source models. The model significantly enhances complex editing capabilities for Excel, PPT, and Word, with a complex skill adherence rate of up to 97% in long-text scenarios.
Emotional Intelligence and Identity Maintenance: In addition to productivity scenarios,
has excellent identity consistency, leaving ample creative space for interactive entertainment and role-playing applications.MiniMax 2.7
Industry Background: Breaking Barriers and Supporting Third-Party Ecosystems
Previously, regarding Anthropic's restrictions on third-party access to OpenClaw,
Cross-Platform Design: The Token plan of
was designed from the underlying architecture to support use across third-party platforms.MiniMax Rejecting Barriers: The official believes that excessive restrictions will stifle innovation. After opening source,
will allow developers to deploy it flexibly across different platforms, greatly increasing the model's usability.MiniMax 2.7
Developer Benefits: Skipping the Adaptation Phase, Directly Tackling Cost Issues
The official honestly stated that due to underestimating the workload required for infrastructure adaptation during open-sourcing, the progress was slightly delayed.
Cheaper Tokens: With the release of the open-source version, more platforms will be able to run
, indicating that "crayfish" players will enjoy more cost-effective token fees.MiniMax 2.7 Performance Comparison: In the
evaluation,MMClaw has already approached the latest Sonnet 4.6, showing strong replacement potential.MiniMax 2.7
Conclusion: The "Inclusive Moment" of Domestic Large Models
From 2.5 to 2.7,


