Apache

码奴，码农，码工 弱！

[Xiaomi MiMo @XiaomiMiMo]

Let's see how MiMo V2 Pro evolves in Hermes Agent!

[Xiaomi MiMo @XiaomiMiMo]

Introducing MiMo-V2-Pro & Omni & TTS
https://t.co/qdufHaBJWY

[Frank Wang @fanjiewang]

Zen × MiMo V2 Flash - free this week

we've been seeing ppl pair GLM-5 / K2.5 for planning, and a fast model like M2.5 for implementation

MiMo V2 Flash is very fast

try it and let us know how it performs

[Artificial Analysis @ArtificialAnlys]

Xiaomi has just launched MiMo-V2-Flash, a 309B open weights reasoning model that scores 66 on the Artificial Analysis Intelligence Index. This release elevates Xiaomi to alongside other leading AI model labs.

Key benchmarking takeaways:

➤ Strengths in Agentic Tool Use and Competition Math: MiMo-V2-Flash scores 95% on τ²-Bench Telecom and 96% on AIME 2025, demonstrating strong performance on agentic tool-use workflows and competition-style mathematical reasoning. MiMo-V2-Flash currently leads the τ²-Bench Telecom category among evaluated models

➤ Cost competitive: The full Artificial Analysis evaluation suite cost just $53 to run. This is supported by MiMo-V2-Flash’s highly competitive pricing of $0.10 per million input and $0.30 per million output, making it particularly attractive for cost-sensitive deployments and large-scale production workloads. This is similar to DeepSeek V3.2 ($54 total cost to run), and well below GPT-5.2 ($1,294 total cost to run)

➤ High token usage: MiMo-V2-Flash is demonstrates high verbosity and token usage relative to other models in the same intelligence tier, using ~150M reasoning tokens across the Artificial Analysis Intelligence suite

➤ Open weights: MiMo-V2-Flash is open weights and is 309B parameters with 15B active at inference time. Weights are released under a MIT license, continuing the trend of Chinese AI model labs open sourcing their frontier models

See below for further analysis:

[Xiaomi MiMo @XiaomiMiMo]

⚡ Faster than Fast. Designed for Agentic AI.
Introducing Xiaomi MiMo-V2-Flash — our new open-source MoE model: 309B total params, 15B active.

Blazing speed meets frontier performance.

🔥 Highlights:
🏗️ Hybrid Attention: 5:1 interleaved 128-window SWA + Global | 256K context
📈 Performance:
⚔️ Matches DeepSeek-V3.2 on general benchmarks — at a fraction of the latency
🏆 SWE-Bench Verified: 73.4% | SWE-Bench Multilingual: 71.7% — new SOTA for open-source models
🚀 Speed: 150 output tokens/s with Day-0 support from @lmsysorg🤝

🤗 Model: https://t.co/4Etm0yZKTL
📝 Blog Post: https://t.co/5zxmcDuB6o
📄 Technical Report: https://t.co/crac1YTLYl
🎨 AI Studio: https://t.co/nSReUs6QgW

[Apache @9Apache9]

@stuart983 你人在美国还是小心点儿，转这种东西本身可能就有问题，即便你不认同。。。

[Apache @9Apache9]

@stuart983 我也是看到你这条才知道不是。。。

[Apache @9Apache9]

@stuart983 没戏啊，拉宾已经展示了，以色列领导人如果后退会是啥下场。至于巴勒斯坦，阿拉法特离奇死亡之后，已经没有能镇得住所有派别的人了，哈马斯才不会同意任何有以色列存在的方案。总之，没救了

[Apache @9Apache9]

@stuart983 @baotiao 本来就是他们自己的一堆烂帐，再加上美英苏各种打算盘留下的问题，天朝非要支持谁谴责谁干啥。天朝说法就是别打，坐下来谈，你们不听那我也没办法，你们的事自己解决别问我。。。

[Apache @9Apache9]

@stuart983 人和人区别很大的啊

[Apache @9Apache9]

@stuart983 现在都是村战，毒株一超多强，总有一款适合你。。。

[Apache @9Apache9]

@stuart983 和美国一样，不管啥事都是两波人吵，已经割裂的很厉害了

[Apache @9Apache9]

@stuart983 你黼再多让一个，大巴黎就第一了，不懂规矩啊

[Apache @9Apache9]

@stuart983 老婆孩子还在美国呢，这可是直接刑事责任要蹲大牢的，不是罚点儿钱完事。赚钱和丢命对比一下，我觉得的是我我也回美国了，刀口舔血的事一般人哪敢啊

[Apache @9Apache9]

@erain 那让你反复改啥？你是得罪了什么大领导被人一票否了吗

[Apache @9Apache9]

@vaiho2020 至少我们小区封那一阵没见过，我身边儿认识的人也没听说，所以看起来还是小概率事件

[Apache @9Apache9]

@weiwei9 世嘉！

[Apache @9Apache9]

@SeTriones 今年冠军还是AC米兰，国米没卖掉什克，财政窟窿太大，且折腾呢

[Apache @9Apache9]

@omnific9 @stuart983 我就记得找了个漂亮老婆回国了，后来去哪就不知道了

[Apache @9Apache9]

@stuart983 @omnific9 奥秘飞王垠化了？