Mysterious "Space Rabbit" Tops Global Model Usage Rankings; Netizens Speculate It Is MiniMax's (00100) New Model

On September 23, an anonymous large model named Space Bunny launched on the globally renowned model aggregation platform OpenRouter and the coding platform OpenCode. Within just a few days, this "space rabbit," whose development team has not yet been announced, had already topped the daily call volume rankings on both platforms. In statistics from September 27, Space Bunny's token call volume on OpenRouter was approximately 3.99 trillion, and on OpenCode approximately 8.3 trillion, both ranking first. Currently, Space Bunny has been "dominating the charts" on both platforms for three consecutive days. According to OpenRouter, Space Bunny has a 1 million token context window, supports text, image, and video inputs, allows adjustable reasoning intensity, and provides tool-calling capabilities. In the launch announcement, Space Bunny was described as a Flash model, emphasizing fast reasoning and coding performance. Developers have already used Space Bunny to complete development tasks such as web games, music players, and backend interfaces, and gave high praise after trying it out. X creator siddharth gave Space Bunny a prompt and a few images, asking it to create a seaside game called Seaside. The model quickly understood these requirements, and the generated small boat, station, and overall color scheme all met expectations. The video quickly gained over 80,000 views across the internet. The task given by Alexey Fateev was to create a voxel-style pagoda garden in a single HTML file. Space Bunny generated a pagoda, cherry blossoms, a pond, and a waterfall, and also added day-night switching. After the main garden was completed in the first round, the author added another round of instructions to adjust the composition, interface, and lighting. Although the final product had imperfections, the extreme generation speed left a particularly deep impression on him. In addition to games, Alan tried four development tasks: writing a FastAPI interface, configuring AWS infrastructure with Terraform, creating a Stripe-style data dashboard, and setting up a ChromaDB data processing pipeline. He said that all four tasks passed in one go after the first round of generation, without needing further code modifications or additional debugging. Developer Erick asked Space Bunny to create a Spotify-style music player. Space Bunny completed the task quickly, and the generated result also took into account details such as fonts, album covers, the playback queue, the current playback status, and light and dark themes. On Reddit, some developers offered comparisons with models such as GLM and DeepSeek. User Eastern_Cupcake said web design was the part that surprised them most. Several frontend cases they tried all produced quite good results, with overall completion slightly better than GLM-5.3 Flash; in their own use cases, Space Bunny ran stably, followed instructions more strongly, produced fewer hallucinations, and was faster than MiMo 2.6. User Zealousideal assigned the same code functionality review task to Space Bunny, GLM 5.3 Flash, DeepSeek 4.1, and MiMo 2.6. They believed that Space Bunny had the best understanding of context, with a thinking process that was mostly of practical value, performing similarly to GLM. Other developers compared the models' performance in troubleshooting and fixing issues. In the discussion thread titled "Space Bunny is better than I expected," one user said that in their tests Space Bunny performed better than DeepSeek V4.1 Flash and GLM 5.3 Flash. Another user who had conducted multi-model A/B testing believed that it made fewer errors, was fast, and had better planning and diagnosis. Which company does Space Bunny actually come from? In discussions, Google, Kimi, Xiaomi, Z.AI, and MiniMax all appeared on netizens' candidate lists. Among them, MiniMax (00100) was a name repeatedly mentioned in the community. In a Reddit post titled "M3.1 is Space Bunny Alpha," the author described their test: sending seven different sets of strings to Space Bunny, recording the input token counts, then comparing them with the public tokenizers of multiple model families and observing the changes in token counts across different strings. The variation pattern of the MiniMax M series across the seven samples was consistent with Space Bunny. Independent research website YFarmX also published similar results: among its 50 test strings, Space Bunny's token counts matched MiniMax models in all cases. In the community, some developers also offered guesses about the model version. Lumina said that they had previously found traces of M3.1 in multiple files and model directory tests in MiniMax Code, and that it also matched the 1 million token context and Max reasoning tier configuration. These features were all similar to Space Bunny. Therefore, they judged that the anonymous model might be MiniMax M3.1. Another user mentioned in a Reddit discussion that since Space Bunny is a Flash model, the model name is also very likely to be M3.1 Flash. Currently, Space Bunny remains anonymous. Behind the popularity of Space Bunny after its launch is the continuously rising enthusiasm of global developers for Flash models. Domestic and international vendors are intensifying their efforts on Flash. Google updated the Flash series three times in six weeks, while DeepSeek V4.1 Flash, Z.AI GLM 5.3 Flash, and Xiaomi MiMo-V2.6-Flash also successively joined the competition. The directions of several vendors are gradually converging: enhancing coding, Agent, and multimodal capabilities, while placing greater importance on response speed and usage cost, enabling models to handle high-frequency, large-scale tasks. Flash models have unique advantages in these high-frequency, everyday call requirements. The concentrated rush by domestic and international giants into Flash models reflects that the large model industry is re-examining the development approach of simply pursuing parameter scale. For developers who frequently use coding Agents, a model's response speed and call cost directly affect their daily work. A single task may require repeatedly reading files, modifying code, running tests, and then continuing to adjust based on error reports. The waiting time and cost of each round accumulate. Whether a model is suitable for heavy use depends on whether it can complete the task, as well as how long the entire process takes and how much it costs. In OpenRouter's latest call volume rankings, Space Bunny, DeepSeek V4.1 Flash, and GLM 5.3 Flash occupy the top three spots and form the new "big three" of Flash models. Space Bunny has successfully squeezed into this fiercely competitive market. As for whether Space Bunny will be one of the familiar names guessed by the community, or another unexpected team, that remains to be revealed.