Xiaomi has released the MiMo-V2.6 family, including the multimodal MiMo-V2.6-Pro and MiMo-V2.6-Flash, and introduced MiMo-V2.6-Pro-UltraSpeed, which delivers up to 20× faster output.
Why it matters: Xiaomi's first entry in the frontier open-model lineup, with open RL environments and training recipes, provides a concrete example of post-training cost strategies.
Latent Space's AINews roundup of developments from September 15–16 reports that Steve Yegge shut down Gas Town and acknowledged spending thousands of dollars a month on coding-agent subscriptions to build just that one project.
The AI Evaluator Forum has released AEF-1, a baseline proposal for independent third-party AI evaluations. It covers access, conflicts of interest, funding relationships, recusals, and transparency, and has been co-signed by xAI, OpenAI, and Anthropic.
DeepSeek has released DeepSeek-V4.1-Flash, describing it as smarter, faster, and more efficient. It is the smallest model in a new architecture family, with native visual understanding, and is designed for stronger capabilities, faster inference, and higher throughput, with the architecture able to scale to larger models.
Why it matters: As the smallest model in DeepSeek's new architecture family, its native visual understanding and higher inference throughput offer a view of its lightweight multimodal positioning.
DeepSeek has launched the experimental multimodal model DeepSeek-V4-Flash-Vision-Exp on its API platform. Its text capabilities match DeepSeek-V4-Flash across agents, reasoning, and world knowledge.
Why it matters: The official release gives the new model's text-capability alignment with V4-Flash and improvements on multimodal-agent benchmarks, helping readers assess its readiness for multimodal agents.
DeepSeek has released the developer preview of DeepSeek Harness v0.1 for developers worldwide who are building agent harnesses. The repository is open-source under the MIT license.
Why it matters: The official release open-sources an agent harness built around plugins, giving readers a view of its modular design and what can be replaced.
DeepSeek has released DeepSeek-V4-Pro, highlighting upgraded agent capabilities and notable production gains. V4-Pro and V4-Flash offer flexible reasoning levels: low for simple tasks, high for everyday agent workflows, and max for complex tasks. The model natively supports the OpenAI Responses API and is optimized for Codex with one-click configuration. It is now available in the app, on the web in Expert Mode, and through the API; its model name is unchanged.
Why it matters: The official announcement describes V4-Pro's agent upgrades and three reasoning levels, helping readers understand its position in production workflows.
DeepSeek says its official DeepSeek-V4-Flash API is now in public beta. The company reports a major upgrade in agent capabilities, with benchmark scores well above V4-Pro-Preview. It natively supports the Responses API format and is fully adapted for Codex; setup details are in the official API documentation.
Why it matters: DeepSeek has announced the V4-Flash API beta and improved agent capabilities, offering a basis for assessing integration with Codex.
An analysis by the UK's AI Security Institute finds that the gap in cybersecurity capabilities between open-weight models and closed frontier models is narrowing. GLM-5.2 comes closest to Claude Opus 4.6, released 4.3 months earlier; DeepSeek-V4-Pro falls between Claude Opus 4.5 and GPT-5. For much of 2025, the measured gap was six to ten months.
