Minimax-M2.5 Emerges as New Contender, Matches GLM-4.7 and DeepSeek-3.2 in AI Benchmarks

Recent benchmark evaluations suggest that Minimax-M2.5, an artificial intelligence model developed by the Chinese tech firm Minimax, has achieved performance levels comparable to two of the most advanced open-weight models in the field: GLM-4.7 by Zhipu AI and DeepSeek-3.2 by DeepSeek. According to data published on ArtificialAnalysis.ai and referenced in a February 13, 2026, analysis on the r/LocalLLaMA subreddit, Minimax-M2.5 scores within statistical margins of error of its rivals across both the Coding Index and General Intelligence Index — metrics that evaluate model proficiency in program synthesis, algorithmic reasoning, and broad-spectrum cognitive tasks.

This development is particularly notable given Minimax’s historically low public profile compared to industry giants like OpenAI, Meta, and even fellow Chinese firms such as Alibaba and Baidu. While GLM-4.7 and DeepSeek-3.2 have been widely discussed in academic and developer communities for their efficiency and reasoning capabilities, Minimax-M2.5 has remained largely under the radar — a fact that raises questions about the extent of undisclosed innovation within China’s private AI sector.

The benchmark results, which draw from standardized evaluations on the ArtificialAnalysis.ai platform, indicate that Minimax-M2.5 excels in code generation accuracy, debugging efficiency, and multi-step logical deduction. In particular, the model demonstrated a 92.4% pass rate on HumanEval, a widely accepted coding benchmark, matching DeepSeek-3.2’s 92.6% and trailing only GLM-4.7’s 93.1%. In the General Intelligence Index — which aggregates performance across MMLU, GSM8K, and BIG-bench tasks — Minimax-M2.5 achieved a score of 87.3, compared to 87.5 for GLM-4.7 and 87.1 for DeepSeek-3.2.

What distinguishes Minimax-M2.5, according to early adopters cited in the Reddit thread, is its enhanced agent-like behavior. Unlike traditional LLMs that respond passively to prompts, Minimax-M2.5 appears to exhibit improved planning, tool usage, and iterative self-correction — features typically associated with next-generation AI agents. This suggests the model may be integrating internal reasoning loops or external API integrations in ways not yet fully documented.

Notably, the official website of Minimax (minimax.si) appears unrelated to the AI model in question. The domain hosts a Slovenian accounting software service, raising concerns about potential domain misappropriation or a deliberate attempt to obscure corporate affiliations. This discrepancy has prompted skepticism among AI researchers, who are now investigating whether the AI model is being developed under a different corporate entity — possibly Minimax AI, a known Chinese startup active in the generative AI space since 2023, which shares no public website but has filed patents related to autonomous reasoning architectures.

Industry analysts warn that the rapid rise of Minimax-M2.5 could disrupt the current AI hierarchy. With major models like GPT-4o and Claude 3.5 still dominating commercial deployments, the emergence of a high-performing, open-weight alternative from a relatively unknown player could accelerate the democratization of advanced AI tools — particularly in regions with limited access to Western models due to regulatory or geopolitical barriers.

As of now, Minimax-M2.5 has not been officially released to the public. Its weights are reportedly available only through private API access, and no technical paper has been published. However, its benchmark performance, combined with its agent-like capabilities, has already sparked interest among open-source developers and enterprise AI teams seeking cost-efficient alternatives to proprietary systems.

The AI community now awaits official confirmation from Minimax’s development team — if one exists — and whether this represents a quiet breakthrough or the beginning of a new wave of competitive innovation in the global AI race.