6Latent Space (swyx)·
Laguna S 2.1 released: cheaper than DeepSeek V4 Flash, better than V4 Pro
A new model called Laguna S 2.1 has been released by what appears to be a neolab, claiming better performance than DeepSeek V4 Pro at lower cost than DeepSeek V4 Flash. The AINews digest from Latent Space highlights this as a notable competitive development in the frontier model cost-performance landscape. The body is sparse, but the headline claim positions Laguna S 2.1 as a significant price-performance advance relative to current DeepSeek offerings.
Related guides (3)
Related events (8)
DeepSeek Makes V4 Pro Price Discount Permanent
DeepSeek has announced that the previously temporary price discount on its V4 Pro model is now permanent. This pricing change is notable in the context of ongoing inference cost competition among frontier model providers. The announcement generated significant community discussion on Hacker News with 234 points and 141 comments.
DeepSeek V4 Preview Release: 1.6T-param Pro and 284B Flash Models with 1M Context, Open-Sourced
DeepSeek has released DeepSeek-V4 as an open-weights preview, comprising two MoE variants: V4-Pro (1.6T total / 49B active parameters) and V4-Flash (284B total / 13B active parameters). Both models support 1M token context by default, enabled by a novel Token-wise compression and DeepSeek Sparse Attention (DSA) architecture. V4-Pro claims open-source SOTA on agentic coding benchmarks and world-class math/STEM/coding performance rivaling top closed-source models, while V4-Flash offers near-parity reasoning at lower cost and latency. The API is live today with OpenAI and Anthropic compatibility, and legacy model endpoints will be retired in July 2026.
DeepSeek V2.5-1210: Final Update to V2.5 Series, V3 Generation Teased
DeepSeek has released DeepSeek-V2.5-1210, the final update to its V2.5 model series, with claimed improvements across math, coding, writing, and roleplay benchmarks. The model is available as open weights on Hugging Face. DeepSeek also announced the launch of Internet Search on chat.deepseek.com. The release marks the end of the V2 generation, with the company signaling work on next-generation foundation models.
DeepSeek-R1-0528 Released with Improved Benchmarks, Reduced Hallucinations, and Function Calling
DeepSeek has released DeepSeek-R1-0528, an updated version of its R1 reasoning model featuring improved benchmark performance, reduced hallucinations, enhanced front-end capabilities, and new support for JSON output and function calling. The API interface remains unchanged, and open-source weights are available on Hugging Face. This is an incremental update to the R1 series rather than a new flagship model.
DeepSeek Releases V3.2-Exp with Sparse Attention Architecture and 50%+ API Price Cut
DeepSeek has released DeepSeek-V3.2-Exp, an experimental model built on V3.1-Terminus that introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism designed to improve long-context performance and reduce compute costs during training and inference. Benchmarks indicate V3.2-Exp performs on par with V3.1-Terminus while achieving efficiency gains. The release is accompanied by a 50%+ API price reduction effective immediately, open-weights release on Hugging Face, a technical report, and GPU kernel code in TileLang and CUDA.
DeepSeek releases DeepSeek-V4-Flash-DSpark on Hugging Face
DeepSeek has published a new model checkpoint, DeepSeek-V4-Flash-DSpark, on Hugging Face under the deepseek_v4 model family. The release is tagged as a text-generation model with FP8 and 8-bit support, suggesting an efficiency-optimized variant. The 'Flash' and 'DSpark' naming implies a faster or distilled derivative of the DeepSeek V4 flagship. Download counts are near zero, indicating a very recent upload.
DeepSeek releases DeepSeek-V4-Flash-Base on Hugging Face
DeepSeek has released DeepSeek-V4-Flash-Base, a new open-weights base model, on Hugging Face. The model uses FP8 precision and the deepseek_v4 architecture with safetensors format. Early traction is notable with over 66,000 downloads and 241 likes shortly after release, suggesting significant community interest in a 'Flash' variant of the V4 series.
DeepSeek to Make Permanent 75% Discount on Flagship AI Model
DeepSeek is permanently reducing pricing on its flagship AI model by 75%, signaling a sustained aggressive pricing strategy rather than a temporary promotional move. This continues the pattern of Chinese AI labs applying significant downward pressure on frontier model API pricing. The move has implications for competitive dynamics across the inference market and may force responses from other major providers.