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MiniMax
2026-09-14 09:58:00

Why Genspark’s M3-based PPT model may change how the market judges MiniMax

Genspark’s decision to train its own PPT model on top of MiniMax M3 has become the starting point for a broader reassessment of MiniMax’s position in the open-model market. On Sept. 10, Genspark released Gen-1 Slides, a model built for presentation generation, developed with Fireworks and now used as the default option in Genspark AI Slides standard mode. The article argues that this move matters because it goes beyond API switching. It shows an application company was willing to spend engineering effort and GPU budget on post-training, a much stronger signal than simply trying an open model. The piece lays out why M3 fit the task: open weights, multimodal support, long context, coding and agent capabilities, plus a model size that remained trainable for an application company. It also cites Fireworks data showing Genspark Slides consumes more than 1 trillion tokens a month, making inference cost a material business issue. In Genspark’s tests, Gen-1 Slides averaged $0.44 in model calling cost per PPT, versus $4.16 for Opus 5, while slightly improving average score and download rate. The article also links this to MiniMax H3’s open-weight release and the downstream ecosystem that followed, from ComfyUI support to H3 Max, FastH3 and H3-World. Its conclusion is that MiniMax should be judged not only by benchmarks, but by how many companies are willing to keep building, fine-tuning and shipping products on top of its models.

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Why Genspark’s M3-based PPT model may change how the market judges MiniMax
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