Compare MiniMax M2.7 and Gemini 3.1 Flash Lite Preview on key metrics including price, context length, throughput, and other model features.
MiniMax-M2.7 is a next-generation large language model built for autonomous, real-world productivity and continuous improvement. Designed to take an active role in its own development, M2.7 incorporates advanced agent capabilities through multi-agent collaboration, allowing it to plan, execute, and improve complex tasks across dynamic environments. Trained for production-level performance, M2.7 supports workflows such as live debugging, root cause analysis, financial modeling, and full document creation across Word, Excel, and PowerPoint. It delivers strong benchmark results, including 56.2% on SWE-Pro and 57.0% on Terminal Bench 2, while reaching 1495 ELO on GDPval-AA, setting a new benchmark for multi-agent systems in real-world digital workflows.
Gemini 3.1 Flash Lite Preview is Google’s high-efficiency model designed for high-throughput, high-volume use cases. It delivers better overall quality than Gemini 2.5 Flash Lite and comes close to Gemini 2.5 Flash performance across core capabilities. Enhancements include audio input/ASR, RAG snippet ranking, translation, data extraction, and code completion. It supports the full range of thinking levels (minimal, low, medium, high) to enable fine-grained cost/performance tuning. Pricing is set at half the cost of Gemini 3 Flash.