MiniMax Coding Plan (minimax.io)
Official sourceAnnouncement
MiniMax M2.7 is now fully available on MiniMax Agent and the MiniMax API Platform. We look forward to ...
Get 10-25% off from MiniMax
Model details
MiniMax-M2
MiniMax-M2 is positioned within MiniMax's M-series as an earlier Mixture-of-Experts language model that targets coding assistance, tool use, and agentic workflows. Its sparse architecture combines a large total parameter footprint of roughly 230 billion parameters with about 10 billion active parameters per token, a design that keeps per-token compute modest while preserving broad capability for software engineering tasks. The model was released on October 27, 2025, alongside MiniMax's "Agent" launch under the banner of simplicity, reflecting an intent to give developers a capable base for tool-augmented and multi-step problem solving rather than a general-purpose chat model.
Within the broader MiniMax lineup, MiniMax-M2 now sits as a legacy or comparison model, with newer siblings such as MiniMax M2.1, M2.5, M2.7, and MiniMax M3 having been released subsequently. Its emphasis on code generation, structured tool calling, and agent orchestration makes it a reasonable fit for teams maintaining existing pipelines on the M-series, building internal coding assistants, or benchmarking agent frameworks against an earlier-generation sparse model. Organizations evaluating it should weigh its maturity and tooling ecosystem against the more recent M-series variants when choosing a default model for new agentic applications.
MiniMax Token Plan (minimax.io)MiniMax-M2minimax
Quick Info
Powered by- Provider
- MiniMax Token Plan (minimax.io)
- Model key
- MiniMax-M2
- Release date
- Oct 27, 2025
- Last updated
- Oct 27, 2025
- Input modalities
- Output modalities
- Capabilities
Cost
A provider subscription or plan supersedes token-based pricing for this model.
Limits
- Output tokens
- 131,072 tokens
- Context window
- 204,800 tokens
Latest news about MiniMax-M2
MiniMax Token Plan (minimax.cn)
Coverage
The official MiniMax-M2 series technical report (arXiv:2605.26494) introduces the M2 family of Mixture-of-Experts language models built on the principle that minimal activated parameters can deliver high real-world intelligence. The flagship M2 is configured with 229.9B total parameters and only 9.8B activated per toke According to the paper, M2 is trained on large-scale verifiable trajectories spanning agentic coding and agentic cowork, each grounded in an executable workspace and an artifact-aligned reward. Forge is described as a scalable agent-native RL system that uses windowed-FIFO scheduling, prefix-tree merging, and a clean t
MiniMax Coding Plan (minimax.io)
Coverage
MiniMax releases M2.7, a self-evolving AI coding model with 56.22% SWE-Pro score, deep Cursor and VS Code integration, and aggressive API pricing.
MiniMax Coding Plan (minimax.io)
CoverageBenchmark
The news blog specialized in Japanese culture, odd news, gadgets and all other funny stuffs. Updated everyday.
MiniMax Coding Plan (minimax.io)
CoverageComparison
MiniMax M2.5 vs Claude Opus 4.6 vs GPT-5.3: benchmarks, pricing ($0.25 vs $5/1M tokens), SWE-Bench scores, and self-hosting guide for developers in 2026.
MiniMax Coding Plan (minimax.io)
Official sourceAnalysis
Models TEXT SPEECH VIDEO MUSIC Product AI native Applications API Develop On MiniMax News Company Intelligence with everyone Login Models TEXT SPEECH VIDEO MUSIC Product AI native Applications API Develop On MiniMax News Company Intelligence with everyone 2026.1.27 A Deep Dive into the MiniMax M2 her Worlds to Dream, S