DeepSeek

MiniMax has released M3.1 Flash, a reasoning model that scores 42 on the Artificial Analysis Intelligence Index, up from 29 for M3. It costs $0.15 per 1M input tokens and $0.60 per 1M output tokens, and open weights are planned for October 23.

DeepSeek has released V4.1 Flash 1017, an October 17, 2026 snapshot built on its new Causal Encoder-Decoder architecture. It uses a 552B-parameter sparse MoE backbone with a 1M-token context window, native image understanding, and pricing of $0.15 input / $0.60 output per 1M tokens on OpenRouter.

A briefing prepared for Congress by AI researcher Nathan Lambert details how Chinese open-weight models have overtaken American counterparts since mid-2025, with a nearly 2x lead in Hugging Face downloads and a 19-22 point gap on the Artificial Analysis Intelligence Index.

OpenRouter has introduced DeepSeek: DeepSeek Pro Latest, a routing alias that automatically points to whichever DeepSeek Pro model is newest. The endpoint offers a 1,049K token context window at $0.58 per 1M input tokens and $1.74 per 1M output tokens.

OpenRouter has launched deepseek-flash-latest, a persistent endpoint that always points to the current DeepSeek Flash model. It offers a 1,049K token context window, text-and-image input, and pricing of $0.15 per 1M input tokens and $0.60 per 1M output tokens.

Anthropic's latest threat intelligence report covers December 2025 through August 2026, documenting Claude's misuse in espionage, weapons development, and nationwide surveillance operations. The report also details how seven Chinese AI labs ran covert networks—some routing their own customers' requests through Claude—to extract training data at industrial scale.

DeepSeek has released V4.1-Flash, a 552B-parameter multimodal Mixture-of-Experts model supporting 1M-token context and activating only 8B parameters during prefill. The model uses a new Causal Encoder-Decoder architecture and Compressed Sparse Attention 2 to cut global KV cache to 890 bytes per token, roughly a quarter of its predecessor.

DeepSeek has released DeepSeek-V4-Flash-Vision-Exp, its first experimental multimodal model in the V4 family, adding visual understanding to the V4-Flash architecture. The 305B-parameter model shows substantial gains on multimodal agent benchmarks while holding steady on text-only tasks.

DeepSeek has released V4 Flash Vision Exp, an experimental vision-enabled variant of DeepSeek V4 Flash 0731 that adds image understanding while matching the base model's text performance. The sparse mixture-of-experts model uses 13B active parameters out of 284B total and supports a 1M token context window.

DeepSeek will raise API output token pricing roughly fourfold starting August 16, introducing peak and off-peak rates for its V4 Pro and V4 Flash models. Despite the increase, DeepSeek remains cheaper than competitors like OpenAI's GPT-5.6 Sol and Moonshot's Kimi K3.

DeepSeek has shipped the general availability release of DeepSeek V4 Pro, codenamed 0813, featuring a 1,049,000-token context window. The mixture-of-experts model is priced at $0.43 per million input tokens and $0.87 per million output tokens, and is live now on OpenRouter.

Microsoft's MAI Code 1.1 Flash beats its predecessor and mini-models from Anthropic and OpenAI on SWE-bench Verified, but DeepSeek-V4-Flash-0731 outperforms it on Terminal Bench 2.1 (82.7% vs 62.9%) while costing roughly a third as much per token.

Composio benchmarked DeepSeek V4 Flash across four agent frameworks—Claude Code, Codex, OpenCode, and Oh My Pi—on 30 real-world tasks. Claude Code finished fastest at 122 seconds per task but cost $0.195, nearly three times OpenCode's $0.073, while Oh My Pi had the highest success rate at 17/30 but took 272 seconds per task.

A dense wave of open-weight model releases—including Thinking Machines' first model Inkling, Poolside's Laguna S2.1, and Moonshot AI's Kimi K3—signals that consolidation predictions for AI labs have not materialized. Licensing terms, particularly Kimi K3's noncommercial agreement requirement, are emerging as a new front in US-China AI policy.

A wave of open-weight model releases from Thinking Machines, Tencent, Poolside, Moonshot AI, and Meituan signals that model-building capacity is spreading rather than consolidating. The releases range from a 1.6 trillion-parameter MoE trained entirely on Chinese accelerators to a noncommercial-licensed model raising new questions about US-China AI trade.

DeepSeek has published a new routing endpoint, deepseek-v4-flash-latest, that always points to the newest model in its V4 Flash family. The endpoint offers a 1,049K token context window and pricing of $0.09/M input and $0.18/M output tokens via OpenRouter.

DeepSeek has updated its budget model V4 Flash to version '0731,' pushing its Artificial Analysis Intelligence Index score to 50 — just one point behind OpenAI's GPT-5.6 Luna — while costing an estimated 60 percent less per task. The MIT-licensed model keeps its 284B-parameter architecture but shows major gains in agentic benchmarks and token efficiency.

DeepSeek has released V4 Flash 0731, a sparse mixture-of-experts model with 13B active parameters out of 284B total and a 1049K token context window. The model targets coding, reasoning, and agent workflows, priced at $0.14 per million input tokens and $0.28 per million output tokens via OpenRouter.

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.

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 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 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 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 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 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.

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 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 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 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 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 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 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 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.