MiniMax M2.7 is MiniMax's most advanced model — the apex of the M2 architecture combining Lightning Attention's long-context efficiency with state-of-the-art reasoning and multimodal understanding.
MiniMax M2.7 (Pro) is an AI model released 2025 by MiniMax, a leading organization in large language model research. MiniMax M2.7 Pro — high-capability Chinese frontier model with strong multilingual support and professional-grade reasoning. With ~456B MoE (456B total, ~46B active params) and a 1M tokens context window, MiniMax M2.7 (Pro) is designed to excel across a range of demanding tasks — from software engineering and mathematical problem-solving to multilingual content generation and long-document analysis.
MiniMax M2.7 (Pro) employs a Mixture-of-Experts (MoE) architecture with ~456B MoE (456B total, ~46B active params). In a MoE design, only a subset of "expert" sub-networks activates for each token during inference — MiniMax M2.7 (Pro) has ~456B MoE (456B total, ~46B active params) total parameters but uses only a fraction per token. This allows the model to store significantly more learned knowledge than a comparably-priced dense model. MoE architectures have proven effective at reaching frontier-level capability while keeping serving costs manageable — a key reason MiniMax M2.7 (Pro) can be offered at the scale that platforms like LITHOVEX AI make possible.
As of 2026-10-16, MiniMax M2.7 (Pro) by MiniMax demonstrates measurable performance on standard AI evaluation benchmarks. On MMLU — which tests world knowledge across 57 academic subjects from elementary to professional level — it achieves 90.3%. For software engineering tasks, MiniMax M2.7 (Pro) scores 89.2% on HumanEval, which tests ability to write correct functions from docstrings. In mathematical reasoning, MiniMax M2.7 (Pro) records 89.7% on MATH. Across all 4 benchmarks tracked, the model shows consistent capability in its primary task domains. These scores place MiniMax M2.7 (Pro) — at ~456B MoE (456B total, ~46B active params) of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.
The primary strengths of MiniMax M2.7 (Pro) are: MiniMax's flagship pro model — top-tier Chinese frontier AI with 1M token ultra-long context; MoE architecture activates ~46B of 456B parameters per token for efficient frontier-class performance; Exceptional Chinese-language understanding and generation — among the strongest bilingual CN/EN models; Strong multilingual support: Chinese, English, Japanese, Korean, Arabic, Spanish, French, and more. These make it particularly well-suited for Chinese-English bilingual enterprise applications and content generation, Ultra-long document analysis: contracts, regulatory filings, and technical archives, Asian market content creation and localization workflows, Complex multilingual customer support systems. Users working on complex, multi-step problems benefit most from MiniMax M2.7 (Pro)'s ability to maintain coherence across long inputs and produce structured, verifiable outputs.
Like all current AI systems, MiniMax M2.7 (Pro) has limitations: Chinese provider — enterprise data governance teams should review data processing agreements; Strongest at Chinese-English tasks; some performance gaps on low-resource languages; API access pricing applies for high-volume usage. For production deployments, validating outputs against authoritative sources — especially for domain-specific or time-sensitive information — remains best practice. MiniMax continues to improve MiniMax M2.7 (Pro) through ongoing research.
MiniMax M2.7 (Pro) is available on LITHOVEX AI with a free account. Unlike direct API access — which requires billing setup, API key management, and per-token charges — LITHOVEX AI provides a seamless browser interface with no setup required, making MiniMax M2.7 (Pro) accessible to students, researchers, developers, and early-stage teams globally.
As of 2026-10-16, MiniMax M2.7 (Pro) by MiniMax demonstrates measurable performance on standard AI evaluation benchmarks. On MMLU — which tests world knowledge across 57 academic subjects from elementary to professional level — it achieves 90.3%. For software engineering tasks, MiniMax M2.7 (Pro) scores 89.2% on HumanEval, which tests ability to write correct functions from docstrings. In mathematical reasoning, MiniMax M2.7 (Pro) records 89.7% on MATH. Across all 4 benchmarks tracked, the model shows consistent capability in its primary task domains. These scores place MiniMax M2.7 (Pro) — at ~456B MoE (456B total, ~46B active params) of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.
Mixture-of-Experts transformer — MiniMax M2 architecture, 456B total params, 46B active, 1M token context
The training pipeline for MiniMax M2.7 (Pro) involves multiple stages: large-scale pretraining on diverse multilingual text and code corpora to develop broad world knowledge, followed by supervised fine-tuning on instruction-response pairs, and alignment techniques such as RLHF or DPO. Each stage refines the model's helpfulness, accuracy, and safety. MiniMax's research team — based in China — has optimized MiniMax M2.7 (Pro) for the specific capability profile described above.
Inference efficiency: MiniMax M2.7 (Pro) at ~456B MoE (456B total, ~46B active params) is designed to deliver quality outputs at practical serving speeds. Its 1M tokens context window enables processing entire documents, multi-file codebases, and extended conversation histories — particularly valuable for contract review, technical documentation analysis, and codebase-level AI assistance.
Getting started with MiniMax M2.7 (Pro) on LITHOVEX AI takes under two minutes. Follow these steps:
For best results with MiniMax M2.7 (Pro): provide specific, context-rich prompts; include examples when generating code; specify output format when structure matters; break complex tasks into focused sub-questions. Since MiniMax M2.7 (Pro) supports extended reasoning, prompting it to "think step by step" or "show your reasoning" activates deeper chain-of-thought analysis for math, logic, and complex problems.
Maximum-quality long-context enterprise AI applications
Complex research synthesis over large document collections
Advanced multimodal reasoning for demanding enterprise tasks
State-of-the-art AI assistance for research organizations in Asia
Long-horizon agentic tasks requiring both context and intelligence
MiniMax is a Shanghai-based AI company founded in 2021, notable for pioneering "Lightning Attention" — a linear-complexity attention mechanism enabling processing of up to 1 million tokens without the quadratic memory costs of standard attention. The MiniMax-M1 and M2 model families leverage this architecture for combined long-context understanding and strong reasoning. MiniMax operates consumer AI products in China and has positioned itself as a technical innovator in attention mechanism design. The company has raised over $600 million in funding and serves millions of users through its Talkie and other consumer applications.
Funding: $600M+ raised
Founded: 2021, headquartered in China.
MiniMax M2.7 (Pro) by MiniMax competes in a field with several strong alternatives. Below is a detailed side-by-side comparison against commonly listed alternatives, using benchmark data and capability profiles in the catalog.
Both MiniMax M2.7 (Pro) and the models above are available free on LITHOVEX AI — test them side by side on your real tasks before committing to a subscription with any provider.
MiniMax M2.7 (Pro) is released under MiniMax Model License, which means you can download and run it on your own hardware. Below are the quickest ways to get started.
LITHOVEX AI runs MiniMax M2.7 (Pro) on cloud infrastructure, so you can use it instantly in your browser without downloading anything, configuring drivers, or managing VRAM. Create a free account and start in under 60 seconds.
MiniMax M2.7 is MiniMax's current frontier, maintaining the company's competitive position in China's AI market while expanding internationally. Its Lightning Attention advantage is most felt on enterprise applications requiring both long-context and high reasoning quality.
MiniMax M2.7 (Pro) by MiniMax has the following version history and notable updates:
For the complete changelog and latest release notes, visit the official MiniMax model page.