A research team built a physics-based RL simulation of Tesla's flying Roadster, complete with wind gusts and the ramp-flip and Cybertruck kickflip stunts from the reveal, then had several leading LLMs try to pilot it. Models including DeepSeek V4.1 Flash, Nemotron 3.5 Super, Muse Spark Open, Beam 1.0, and GPT-6 Astra mostly crashed, landing few or none of the maneuvers even with unlimited thinking time, while a small 4B model fine-tuned with reinforcement learning landed reliably, including in a 33 m/s storm.
skypilot.ai
· 2026-10-30
DeepSeek released a point update to its open-weight V4.1 Flash model, a 552B-parameter Mixture-of-Experts system with 16B active parameters and a 1-million-token context window that handles both text and images. The company says the new revision needs only a quarter of the HBM and an eighth of the SSD storage for its KV cache compared with the prior version, using 890 bytes per token entry, and its internal benchmarks place the model between GPT-5.6 Sol and Claude Opus 5, beating the latter on some task tests.
tomshardware.com
· 2026-10-23
DeepSeek has released DeepInfer, the inference framework it uses internally to serve its large-scale production systems, as an open-source project. The initial release supports the DeepSeek-V4.1-Flash model and includes optimized kernels, parallelism strategies, speculative decoding, asynchronous scheduling, and batch-invariant deterministic inference.
github.com
· 2026-10-20
DeepSeek has released V4.1 Flash 1017 (Max), a multimodal model accepting text and image input and producing text output, with a 1 million token context window. The model scored 45 on the Artificial Analysis Intelligence Index, well above the comparable median of 19, while running at 230 tokens per second.
artificialanalysis.ai
· 2026-10-19
DeepSeek has shipped V4.1 Flash 1017, dated October 17, 2026, as a snapshot of its V4.1 Flash model available via the deepseek-flash API. The sparse mixture-of-experts model uses a new Causal Encoder-Decoder architecture, activating 8B parameters on input and 16B on output from a 552B-parameter backbone, with native image understanding trained jointly with text from the start.
openrouter.ai
· 2026-10-17
DeepSeek has launched V4.1-Flash-1017, a minor version update to its V4.1-Flash model that the company says improves reasoning, coding, agentic task handling, and visual benchmark scores compared to the prior version. The update also shortens task execution time and output length. DeepSeek is also releasing deepseek-recipe, a Rust-based toolkit with Python bindings for encoding prompts and parsing model outputs.
huggingface.co
· 2026-10-17
The Call Center Doctors rented a four-GPU Nvidia H200 server on September 27 to run DeepSeek V4.1 Flash for its Claude Code coding agents instead of Claude Opus 5.5. The firm found the on-demand box cost $440.88 a day versus $184-$223 a day to get the same work done through DeepSeek's API, and it ultimately switched back to Opus 5.5, which worked out cheaper than keeping the rented hardware running.
tomshardware.com
· 2026-10-01
DeepSeek released V4.1 Flash, a model initially mistaken for a minor update but revealed via its technical report to be a significant architectural overhaul, effectively a V5-class release. It achieves near 420 tokens/second throughput while compressing KV cache by 4x through techniques including cross-layer compression, sparse attention indexing optimizations, and FP4 precision, alongside a YOCO-inspired prefill design that only activates 8B parameters during prefill versus 16B during decode across its 40 layers.
zartbot.github.io
· 2026-09-17
DeepSeek V4.1 Flash achieved code execution on all 11 vulnerable systems in an AI hacking benchmark while leaving four patched systems untouched, at a total cost of just $4.65 for accepted runs. A manual review found the model discovered five novel attack paths beyond the six expected solutions, including a faster exploit against Grafana that bypassed the intended vulnerability entirely.
enclave.ai
· 2026-09-16
DeepSeek has released V4.1-Flash on its API, replacing the earlier V4-Flash and V4-Flash-Vision-Exp models. The new model adds native multimodal capabilities and can be accessed by setting the model parameter to deepseek-flash.
twitter.com
· 2026-09-10
DeepSeek confirmed it will officially release its V4.1 Flash model on September 10, 2026 (Beijing Time), stating internal testing shows it outperforms V4 Pro on performance, cost, speed, and task completion time. Until V4.1 Pro arrives, all Pro-model requests will be automatically redirected to V4.1 Flash and charged at the cheaper Flash pricing tier.
news.ycombinator.com
· 2026-09-09
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