MiniMax M2.5 (Infercom)
The Agentic Efficiency Leader: Bridging the gap between open-weight affordability and frontier-class task execution.
About the Model
The MiniMax M2.5 (Infercom) is a 229B parameter Mixture-of-Experts (MoE) model released in February 2026. It utilizes a breakthrough "Hybrid Attention" architecture (7:1 ratio of Lightning to SoftMax attention) to provide linear scaling for long contexts. The Infercom variant is specifically optimized for sub-second responses in messaging-based autonomous agents.
Model Key Capabilities
Lightning Recall:
Features industry-leading retrieval across its massive context window, virtually eliminating the "lost-in-the-middle" error.
Agentic Orchestration:
Specifically pre-trained on multi-step tool-calling sequences for high-reliability task execution.
Low-VRAM Footprint:
Despite its size, the Infercom quantization allows for deployment on standard enterprise hardware with significant throughput gains.
Applications & Use Cases
24/7 Messaging Agents:
Ideal for high-traffic customer support and sales bots where cost-per-token is a critical business factor.
Full-Stack Vibe Coding:
Optimized for rapid prototyping and iterative code generation.
Persistent Memory Systems:
Perfect for long-running AI assistants that need to remember details from weeks of conversation.
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Model Specifications
General | |
|---|---|
Model Provider | MiniMax |
Main Use Cases |
|
Intelligence | |
Reasoning Effort | Adaptive (Concise) |
GPQA Diamond | 80.0% |
Memory | |
Max Context | 1.0M Tokens |
Speed | |
Latency (TTFT) | 1.17s |
Throughput | 100+ Tokens/Sec |
