MiniMax M2.5 API Tutorial: How to Use It in Python & JavaScript (2026)

MiniMax M2.5 API Tutorial: How to Use It in Python & JavaScript (2026) MiniMax M2.5 just launched as one of the most cost-efficient frontier LLMs available — 80.2% on SWE-Bench Verified at 1/20th the cost of Claude Opus 4.6. Here's how to access it via NexaAPI in minutes. What Is MiniMax M2.5? Released on February 12, 2026, MiniMax M2.5 is a frontier-class large language model from Chinese AI startup MiniMax. It's a Mixture-of-Experts (MoE) architecture with 230B total parameters (10B active), designed specifically for agentic and coding tasks. Key Specs Feature MiniMax M2.5 Architecture MoE (230B total / 10B active) Context Window 200K tokens SWE-Bench Verified 80.2% (matches Claude Opus 4.6) Speed 50–100 tokens/second Input Price $0.15/1M tokens (standard) Output Price $1.20/1M tokens (standard) Open Source Yes (HuggingFace, MIT-style license) Why Developers Care 1/20th the cost of comparable frontier models (GPT-5, Claude Opus 4.6) SOTA coding : 80.2% on SWE-Bench Verified — on par