DeepSeek-V4: a million-token context that agents can actually use
A Hugging Face blog post discusses DeepSeek-V4, highlighting its million-token context window as a practically usable capability for agentic applications. The post appears to analyze or announce DeepSeek-V4's long-context features in the context of agent workflows. No article body was available for deeper analysis.
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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-V3.1 Release: Hybrid Think/Non-Think Model with Agent-Focused Upgrades
DeepSeek has released V3.1, a hybrid inference model supporting both thinking and non-thinking modes in a single model, positioned as their first step toward the agent era. The model features improved tool use and multi-step agent task performance, with benchmarks showing gains on SWE-bench and Terminal-Bench, and faster thinking efficiency compared to DeepSeek-R1-0528. The base model received 840B tokens of continued pretraining for long-context extension, a new tokenizer, and open-source weights are available on HuggingFace. API updates include 128K context for both modes, Anthropic API format compatibility, and strict function calling support in beta.
DeepSeek releases DeepSeek-V4-Flash on Hugging Face
DeepSeek has released DeepSeek-V4-Flash, a new text-generation model published on Hugging Face under the deepseek-ai organization. The model supports FP8 and 8-bit quantization and is tagged as conversational and endpoints-compatible. With over 2.8 million downloads and 1,455 likes, it has seen substantial early uptake.
DeepSeek API Introduces Context Caching on Disk, Cutting Token Prices by ~90%
DeepSeek has launched a disk-based context caching service for its API, reducing cache-hit token pricing to $0.014 per million tokens versus $0.14 for cache misses—a 90% cost reduction. The system requires no code changes, runs automatically for prefix-matched inputs, and reduces first-token latency from ~13s to ~500ms on 128K prompts. DeepSeek attributes the feasibility of disk caching to the compact KV cache produced by its MLA (Multi-head Latent Attention) architecture in DeepSeek V2, which it claims makes it the first LLM API provider to deploy extensive disk caching at scale. The service supports up to 1 trillion tokens per day with no concurrency limits.
DeepSeek releases DeepSeek-V4-Pro on Hugging Face
DeepSeek has released DeepSeek-V4-Pro, a new text-generation model published on Hugging Face under the deepseek-ai organization. The model supports FP8 and 8-bit quantization formats and is tagged as endpoints-compatible with eval results included. With over 4.3 million downloads and 4,740 likes, it has attracted significant community uptake.
DeepSeek releases DeepSeek-V3.2 on Hugging Face
DeepSeek has released DeepSeek-V3.2, a new text-generation model published on Hugging Face under the deepseek-ai organization. The model supports fp8 precision, is endpoints-compatible, and has accumulated over 3.6 million downloads and 1,446 likes, indicating significant community uptake. This appears to be a successor to DeepSeek-V3, continuing the lab's competitive open-weights model series.
DeepSeek releases DeepSeek-V3.2-Exp on Hugging Face
DeepSeek has published DeepSeek-V3.2-Exp, an experimental text-generation model, on Hugging Face under the deepseek-ai organization. The model uses the deepseek_v32 architecture and supports fp8 precision, with tags indicating eval results and endpoint compatibility. Early traction is notable with nearly 176K downloads and ~1K likes shortly after release.
DeepSeek releases DeepSeek-V3.2-Speciale on Hugging Face
DeepSeek has published DeepSeek-V3.2-Speciale, a new text-generation model, on Hugging Face under the deepseek-ai organization. The model uses the deepseek_v32 architecture and supports fp8 precision with safetensors format. Early traction is notable with nearly 10,000 downloads and 708 likes shortly after release.