DeepSeek
16 articles tagged with DeepSeek
Chinese open-weight models claim top 5 spots on OpenRouter by usage, threatening US frontier labs
Chinese AI models from Tencent, Xiaomi, DeepSeek, MiniMax and Z.ai now occupy the top five positions by weekly token usage on OpenRouter, a major AI marketplace. The shift threatens to commoditize premium models from OpenAI and Anthropic as businesses reserve expensive frontier systems for only their hardest problems.
DeepSeek Releases V4-Flash: 284B Parameter MoE Model with 1M Context Window at Q8 162GB
Unsloth has released optimized GGUF quantizations of DeepSeek-V4-Flash, a 284B parameter Mixture-of-Experts model that activates 13B parameters and supports 1 million token context windows. The Q8 quantization (UD-Q8_K_XL) runs at 162GB with claimed lossless precision, only 7GB larger than the Q4 variant.
Aion Labs Releases Aion-3.0-Mini: Multi-Model Storytelling System Built on DeepSeek
Aion Labs has released Aion-3.0-Mini, a multi-model system designed for roleplaying and storytelling applications. The system uses multiple specialized models working collaboratively on the DeepSeek architecture, with a 131K context window and pricing at $0.70 per 1M input tokens and $1.40 per 1M output tokens.
Chinese AI Models Capture 30%+ of U.S. Developer Token Usage as OpenAI, Anthropic Costs Rise
Chinese AI models including DeepSeek and Z.ai have captured over 30% of weekly token usage by U.S. companies on OpenRouter since February 2025, up from 4.5% in the first half of the year. The shift comes as companies seek alternatives 60-90% cheaper than leading models from OpenAI and Anthropic, while Chinese models close the performance gap to within 6-9 months of U.S. frontier systems.
DeepSeek Releases V4-Pro with 1.6T Parameters, 1M Token Context at 27% Inference Cost of V3
DeepSeek has released two Mixture-of-Experts models: V4-Pro with 1.6 trillion parameters (49B activated) and V4-Flash with 284B parameters (13B activated), both supporting 1 million token context windows. V4-Pro requires only 27% of inference FLOPs and 10% of KV cache compared to V3.2 at 1M token context, trained on over 32 trillion tokens.
Microsoft evaluates DeepSeek V3 for Copilot to cut agent costs, will offer cheaper tier within weeks
Microsoft is evaluating a self-hosted version of DeepSeek V3 to power Copilot Cowork as agent costs spiral. The company plans to launch a lower-cost tier within weeks while moving to usage-based pricing, charging enterprises for actual compute consumed rather than flat fees.
Cline v3.89.1 Fixes Anthropic Provider Breakage on VS Code 1.123+, Adds DeepSeek V4 Support
Cline released version 3.89.1 on June 11, addressing a critical bug where the Anthropic provider broke on VS Code 1.123 and later due to Node 24 runtime incompatibility. The update also adds support for DeepSeek V4's reasoning format.
DeepSeek Releases V4 Flash: 284B-Parameter MoE Model with 1M Context Window, Free via OpenRouter
DeepSeek has released V4 Flash, a Mixture-of-Experts model with 284B total parameters and 13B activated parameters per forward pass. The model supports a 1M-token context window and is available free through OpenRouter, targeting high-throughput coding and chat applications.
DeepSeek V4 Pro launches with 1.6 trillion parameters, 1M token context at $0.145 per million input tokens
Chinese AI lab DeepSeek has released preview versions of DeepSeek V4 Flash and V4 Pro, mixture-of-experts models with 1 million token context windows. The V4 Pro has 1.6 trillion total parameters (49 billion active), making it the largest open-weight model available, while both models significantly undercut frontier model pricing.
DeepSeek releases V4 preview, claims parity with GPT-4o and Claude 3.5 Sonnet
DeepSeek released a preview of its V4 model on April 24, 2026, claiming the open-source system matches leading closed-source models from Anthropic, Google, and OpenAI. The company emphasized improved coding capabilities and compatibility with domestic Huawei chips, but did not disclose training costs or hardware specifications.
DeepSeek Releases V4-Flash-Base: 292B Parameter Base Model
DeepSeek has released V4-Flash-Base, a 292 billion parameter base model now available on Hugging Face. The model uses BF16, I64, F32, and F8_E4M3 tensor types and is distributed in Safetensors format.
DeepSeek releases V4 model preview with agent optimization, pricing undisclosed
DeepSeek released a preview of its V4 large language model on April 24, 2026, available in 'pro' and 'flash' versions. The Hangzhou-based company claims the open-source model achieves strong performance on agent-based tasks and has been optimized for tools like Anthropic's Claude Code and OpenClaw.
DeepSeek Releases V4-Pro-Base with 1.6 Trillion Parameters
DeepSeek has released DeepSeek-V4-Pro-Base, a 1.6 trillion parameter foundation model now available on Hugging Face. The base model uses BF16 precision for weights and includes support for F8_E4M3, I64, and F32 tensor types.
DeepSeek Releases V4 Pro: 1.6T Parameter MoE Model with 1M Token Context at $1.74/M Input Tokens
DeepSeek has released V4 Pro, a Mixture-of-Experts model with 1.6 trillion total parameters and 49 billion activated parameters. The model supports a 1-million-token context window and costs $1.74 per million input tokens and $3.48 per million output tokens.
DeepSeek V4 Flash Released: 284B Parameter MoE Model with 1M Context Window at $0.14 per Million Tokens
DeepSeek has released V4 Flash, a Mixture-of-Experts model with 284B total parameters and 13B activated parameters per request. The model supports a 1,048,576-token context window and is priced at $0.14 per million input tokens and $0.28 per million output tokens.
DeepSeek Releases V4-Flash and V4-Pro Models as Tencent Ships Hy3-Preview
DeepSeek has released two new models in its V4 series: DeepSeek-V4-Flash and DeepSeek-V4-Pro, both now available on Hugging Face. Separately, Tencent has shipped Hy3-Preview, marking simultaneous releases from two major Chinese AI labs.