Current Open-Weight LLMs & the Hardware They Run On (September 2026)
(01)GLM-5.3-Flash, DeepSeek V4.1 Flash and Qwen3.8-Flash-Next in overview — and the honest hardware matrix: what runs on a laptop, Mac Studio, DGX Spark and multi-GPU node?
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All articles about Deepseek
GLM-5.3-Flash, DeepSeek V4.1 Flash and Qwen3.8-Flash-Next in overview — and the honest hardware matrix: what runs on a laptop, Mac Studio, DGX Spark and multi-GPU node?
DeepSeek V4.1 Flash: the second Flash model in one week — with a new price tier (peak/off-peak), native multimodality, and the Pro plan redirecting to the Flash price starting September 14.
DeepSeek V4.1 Flash introduces groundbreaking KV cache compression, reducing the footprint to just 890 bytes per token. Featuring an asymmetric Causal Encoder-Decoder architecture, it rivals much larger models in agentic tasks while remaining highly cost-effective under an MIT license.
DeepSeek-V4-Pro-0813 went GA on August 13, posting a Terminal-Bench 2.1 score of 87.9% — the first open-weight model to beat a frontier closed model on that benchmark. But the GA weights aren't on Hugging Face, a 264% price hike hits August 16, and several self-reported benchmarks still await independent replication.