HomeMinimax 2.7 Goes Open-Source, DeepSeek V4 on the Horizon
MiniMax, the large model developer, has kept its promise and today officially open-sourced its MiniMax 2.7 model, which was released in March. This is another major domestic open-source model following Zhipu GLM-5.1, showing that domestic large models are further aligning with top international standards in programming capabilities and cost-effectiveness.
Significant Gains in Programming Ability, Catching Up to Claude Opus
MiniMax 2.7 This open-source release draws the most attention due to its enhanced programming ability. According to official and test data:
SWE-Pro Benchmark: M2.7 scored 56.22%, nearly matching Claude Opus's top performance.
MMClaw Evaluation: Its actual performance in the OpenClaw environment significantly surpasses M2.5, approaching the latest Sonnet4.6.
Cost Advantage: Compared to overseas paid models like GPT-5.4Pro and Claude Opus, MiniMax 2.7 offers developers a more cost-effective, high-performance option.
Currently, domestic models already hold a significant share of the global open-source large model market. With the successive open-sourcing of GLM-5.1 and MiniMax 2.7, the competitive landscape among leading players has shifted subtly. Rumors suggest that due to strategic adjustments, the upcoming Qwen3.6Plus may no longer adopt a fully open-source operating model. Instead, it will continue to focus on deepening the open-source ecosystem and consolidating the developer base.
All Eyes on DeepSeek V4
With other major companies making their moves, the biggest suspense now centers on DeepSeek. Reports indicate that Liang Wenfeng has statedDeepSeek V4 will be released in late April. V4 will natively support multimodal, offering "fast, expert, and visual" modes, and will be fully compatible with domestic AI hardware systems, focusing on security, controllability, and low-cost deployment.
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MiniMax, the large model developer, has kept its promise and today officially open-sourced its MiniMax 2.7 model, which was released in March. This is another major domestic open-source model following Zhipu GLM-5.1, showing that domestic large models are further aligning with top international standards in programming capabilities and cost-effectiveness.
Significant Gains in Programming Ability, Catching Up to Claude Opus
SWE-Pro Benchmark: M2.7 scored 56.22%, nearly matching Claude Opus's top performance.
MMClaw Evaluation: Its actual performance in the OpenClaw environment significantly surpasses M2.5, approaching the latest Sonnet4.6.
Cost Advantage: Compared to overseas paid models like GPT-5.4Pro and Claude Opus, MiniMax 2.7 offers developers a more cost-effective, high-performance option.
Currently, domestic models already hold a significant share of the global open-source large model market. With the successive open-sourcing of GLM-5.1 and MiniMax 2.7, the competitive landscape among leading players has shifted subtly. Rumors suggest that due to strategic adjustments, the upcoming Qwen3.6Plus may no longer adopt a fully open-source operating model. Instead, it will continue to focus on deepening the open-source ecosystem and consolidating the developer base.
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