Chinese AI startup DeepSeek released its DeepSeek V4.1 Flash model on September 13, 2026, the smallest in its new series, featuring native multimodal visual understanding. The 552B parameter Mixture-o…
Salvatore Sanfilippo, known as Antirez, committed support for a heavily quantized variant of DeepSeek V4.1 Flash to the GitHub repository for DwarfStar, according to a Hacker News post by user fghorow…
A developer analysis of Artificial Analysis benchmarking data finds that GLM-5.3-Flash scores 42 at $0.25 per task while Kimi K3 scores 44 at $2.00 per task, an eight-fold cost gap for a two-point cap…
A developer posting as FP4 Brain on X reported running DeepSeek V4.1 Flash locally on a 16GB M1 Mac Mini using original FP4/FP8 weights, SSD streaming, and a custom MLX runner built on the pipenetwork…
DeepSeek released DeepSeek V4.1 Flash, a 552 billion parameter mixture-of-experts model under an MIT license that activates only 8 billion parameters during prefill and 16 billion during decode, cutti…
DeepSeek released V4.1 Flash, a 552-billion-parameter mixture-of-experts model with 8 billion active input and 16 billion active output parameters that scored 74.2 on Deep SWE and 30 on Terminal Bench…
Cognition's SWE-2 coding model scored 83.75% on the eight-task KingBench 3 benchmark, beating DeepSeek V4.1 Flash at 81.25% and its own base model Kimi K3 at 77.5%, according to independent testing. S…
DeepSeek V4.1 Flash solved 15 of 16 Hack The Box challenges on the HTB-Challenger Benchmark, including three of the four Hard challenges, for a benchmark score of 80.9% with zero false positives, acco…
DeepSeek released DeepSeek V4.1 Flash on Thursday, a 763 billion-parameter model that is more than 2.5x the size of the model it replaces and larger than the V3 and R1 models that brought the Chinese …
DeepSeek released V4.1 Flash with a 1M context window, FP4 KV cache, and cross-layer attention reuse, while Alibaba open-weighted Qwen3.8-2.4T-A95B, a Qwen-Max-class mixture-of-experts model with 2.4 …
A user identified as Mateo-Grgic posted a request to add DeepSeek V4.1 Flash, describing it as a new model that is better and cheaper than the existing DeepSeek V4.1 Flash. The post contains no furthe…
DeepSeek's V4.1 Flash scored 81.2 out of 100 on OpenDesign Arena's real-world design benchmark, reaching 98% of OpenAI GPT-6 Astra's top score of 82.7 while costing $0.023 per finished design versus A…
DeepSeek released DeepSeek V4.1 Flash on 2026-09-10, a text-and-image model with a 1000k context window and 384k maximum output, according to the provider announcement. No retirement date has been ann…
DeepSeek released DeepSeek V4.1 Flash on September 10, 2026, a sparse mixture-of-experts model the company reports exceeds its V4 Pro flagship on performance, speed, and task completion time. The mode…
DeepSeek released V4.1 Flash on September 10, 2026, cutting cache-hit costs to $0.003 per token during off-peak hours from the $0.022 charged for the outgoing V4-Pro, a 77-80% price reduction, and rai…
DeepSeek released DeepSeek V4.1 Flash, a 552B-parameter MoE model built on a new Causal-Encoder-Decoder architecture with 8B activated parameters on the input side and 16B on the output side, availabl…
DeepSeek released the V4.1 Flash model on September 10, 2026 (Beijing Time) and postponed the discontinuation of its V4 Pro service to 12:00 Beijing Time on September 14, 2026, according to an email s…
DeepSeek released DeepSeek V4.1 Flash, a 552B-parameter mixture-of-experts model built on a new causal encoder-decoder architecture that natively supports multimodal visual understanding. The model is…
A PR security review benchmark across 16 repositories with planted vulnerabilities found OpenAI's GPT-6 Astra achieved the highest recall at 68% but cost $8.80 per PR, while DeepSeek V4.1 Flash matche…
DeepSeek AI's model card for DeepSeek V4.1 Flash reports a global KV cache footprint of roughly 890 bytes per token, about a quarter of the 4x-larger footprint of predecessor DeepSeek V4 Flash and a 4…