MiniMax-AI/MiniMax-M2 resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2605 stars · 215 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

MiniMax-M2 is an open-source Mixture-of-Experts large language model with 230 billion total parameters and 10 billion active parameters, released by MiniMax for coding and agentic workflows. The repository provides model weights, license information, and documentation for running the model locally or via the MiniMax API.

Use cases

• run an open-source LLM for coding agents
• self-host a cost-effective MoE model for tool use
• power multi-file code editing and coding-run-fix loops
• build agentic workflows with strong tool-calling performance
• serve an LLM locally for code generation
• evaluate open-source models on coding and agentic benchmarks

When to choose

• you need an open-weight model optimized for coding and agent tool use
• you want near-frontier agentic performance with only 10B active parameters for cheaper inference
• you want to self-host or fine-tune a top-ranked open-source coding model

When to avoid

• you need multimodal input like images or video
• you need a small model that fits on consumer hardware
• you only need a hosted API without self-hosting

Facets

dataset · maturity active

llm-inference machine-learning agent-framework large-language-models artificial-intelligence machine-learning python self-hosted cloud open-weights mixture-of-experts model-weights coding-llm agentic-workflows minimax huggingface ai-agents gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="MiniMax-AI/MiniMax-M2")