Chinese contentDeepSeek 发布开源模型 DeepSeek-V4.1-Flash-1017
DeepSeek 新出的 V4.1-Flash-1017 是开源的，DeepSWE 1.1 跑分 77%，把 GPT-5.6 Sol 和 Opus 5 都比下去了，价格还便宜。
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Oct 17
Chinese contentDeepSeek 发布 V4.1-Flash-1017 并下调 API 价格
DeepSeek 周末更新的 V4.1-Flash-1017，性能更强还降价，搜索直接做成 API，5 元一千次，Agent 开发者可以马上试试。
Chinese contentDeepSeek-V4.1-Flash 小幅更新：推理、编程与多模态基准提升
DeepSeek 给 V4.1-Flash 做了次小更新，推理、编程、看图都变强，跑任务还更快更省 token，开源党可以关注下。
Chinese contentDeepSeek V4.1 Flash 更新至 1017 版本，网页端与 API 同步替换
DeepSeek 的 V4.1 Flash 换了新版本号 1017，网页和 API 都自动切过去了，不用重新配置就能用上。
IT之家Source
Chinese contentDeepSeek-V4.1-Flash-1017 疑似就是 DeepSeek-V4.2-Flash
有人发现 DeepSeek 这两个版本号可能其实是同一个模型，用 DeepSeek 的朋友可以看看自己的 API 版本对应关系。
Chinese contentDeepSeek V4.1-Flash-1017 疑似上线：deepseek-flash 的 system_fingerprint 已变更
DeepSeek 的 flash 模型指纹变了，疑似悄悄上了 V4.1-Flash-1017，有人说变聪明也更简洁了，可以自己试试对比。
Chinese contentMeta Muse Spark Open 测试速报：复杂算法尚可，空间理解拉胯
有人实测了 Meta 新开源的 Muse Spark Open，结论是打不过 DeepSeek-v4.1-flash，还特能幻觉，想本地部署的先看看再决定。
Oct 16
Chinese contentMeta 开源 Muse Spark Open：816B 参数、1M 上下文、支持全模态输入
Meta 开源了 816B 的 Muse Spark Open，主打 1M 上下文和 Agent 任务，作者还算清了要跑起来得 700GB 显存，看看你的卡够不够。
Oct 12
Adaptive DHiSparse Speculative Decoding
This approach solves a critical bottleneck in long-context AI serving by enabling more efficient memory usage while maintaining high throughput. The technology allows models to handle significantly larger contexts without hitting memory limits, which directly impacts real-world applications requiring extensive context windows. Developers working with large language models should consider this optimization technique to improve performance in production environments.
Oct 8
vLLM Highlights DeepSeek-V4.1-Flash SWA Optimization
SWA bounded replay shows how KV-cache reuse for agent loops can be engineered around sliding-window attention, a pattern many teams will copy as agent traffic grows. Engineers running agent stacks on vLLM can apply it to reduce TTFT under high concurrency. The writeup also signals that DeepSeek-V4.1-Flash inference performance is being actively tuned by the community rather than relying on the lab alone.
Chinese contentvLLM 三周优化 DeepSeek-V4.1-Flash：低并发提速 1.9 倍
vLLM 花三周把 DeepSeek-V4.1-Flash 跑快了 1.9 倍，AgentX 上吞吐 5.3 倍，还附交互图表拆解过程，做部署的可以看看。
Oct 3
GLM-5.3 matches Claude in vulnerability testing
The performance gap between open-source and closed models is narrowing faster than expected, with GLM-5.3 demonstrating competitive vulnerability exploitation capabilities. Developers and security researchers should evaluate this model for ethical hacking and security testing applications, especially given its open weights nature that allows for customization and inspection.
Sep 29
Sep 23
Step 5 Preview tested on two real coding tasks
Benchmark scores can hide whether a model survives long, multi-step builds, so the value here is watching Step 5 Preview handle mechanical synchronisation and real tooling rather than canned puzzles. Developers choosing between Step 5, GLM-5.3, Kimi K3 and Claude Opus 5 get a practical cost-versus-reliability comparison for agentic coding workflows. The stated price gap makes it a concrete candidate for teams in Southeast Asia and beyond cutting per-task inference spend.
Chinese contentGPT-6-Luna 与 DeepSeek-V4.1-Flash 价格对比：各有优势区间
有人在比 GPT-6-Luna 和 DeepSeek-V4.1-Flash 的实际成本，短上下文选 Luna，272K 以上大输入选 DeepSeek，做 agent 的可以看看怎么省钱。
Sep 20
DeepSeek V4.1-Flash model ships 1M context with extreme KV compression
This matters for developers and researchers working with large-scale text data, as it significantly reduces memory requirements for long-form processing.
Sep 18
Chinese contentDeepSeek 发布 V4.1-Flash 技术报告
DeepSeek 新发布的 V4.1-Flash 技术报告，优化了预填充计算、HBM 缓存、SSD/主机持久化缓存和缓存失效恢复，还用了近似的 SWA Bounded Replay 替代长期保存局部缓存状态。
DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression
For developers working with large language models, DeepSeek-V4.1-Flash offers a more cost-effective solution for long-context tasks by significantly reducing KV cache requirements.
Sep 16
Chinese contentDeepSWE测试显示DeepSeek V4.1-Flash输入token占比远高于输出
DeepSWE测试发现DeepSeek V4.1-Flash的输入token消耗远高于输出，缓存命中率高，能大幅降低成本。
Sep 15
Chinese contentDeepSeek-V4.1-Flash (Max) 发布，性能成本比提升 4.87%，成本仅 0.07 美元/任务
DeepSeek 发布了新模型，性能提升 4.87%，成本只有 0.07 美元，比很多模型便宜很多。
Chinese contentDeepSeek-V4.1-Flash (Max) 在任务成本和性能上取得新突破
DeepSeek新发布的V4.1-Flash (Max)模型，任务成本比之前低，性能还提升了4.87%，在性能和成本上都有优势。
Chinese contentDeepSeek-V4.1-Flash (Max) 在开源模型排名中位列第三
DeepSeek 新出的 V4.1-Flash (Max) 模型在 Agent Arena 排名第三，成本还特别低，适合做任务。
Sep 14
DeepSeek routes V4-Pro API traffic to V4.1-Flash
This is a pricing change for DeepSeek's API that will affect developers using the V4-Pro model, as it will now be charged at the lower Flash rate until a new version is released.
Sep 12
DeepSeek v4.1-Flash model released
This is a major upgrade for the DeepSeek model, showing significant progress in its architecture and scale.
Sep 11
DeepSeek-V4.1-Flash model now available on Ollama's cloud
This new model is more capable, faster, and more cost-effective than previous DeepSeek models, offering a better alternative for users seeking a powerful AI tool.
DeepSeek-V4.1-Flash rolls out for Pro plan subscribers
This is a new version of the DeepSeek-V4.1-Flash model that is now available for Pro plan subscribers on Ollama's cloud.
Cambricon Day-0 supports DeepSeek-V4.1-Flash
For users interested in high-performance AI chips, this shows a new hardware platform supporting a specific model, which could be relevant for those looking at alternatives to existing solutions.
Chinese contentDeepSeek-V4.1-Flash 在 Ollama 云端上线
DeepSeek 新出的 V4.1-Flash 模型，在 Ollama 云端上线了，比之前的小模型更智能、更快，还能处理图片，适合 Max 和 Team 帐户的用户。
Chinese contentDeepseek-V4.1-Flash 在 Fireworks 上正式发布
朋友，Deepseek 新出的 552B 大模型现在在 Fireworks 上能用，做编程和网络安全很厉害，比 GPT 5.6 Sol 便宜很多。
Chinese contentDeepseek-V4.1-Flash 模型上线 Fireworks 平台
朋友，Deepseek 新出的 552B 大模型现在在 Fireworks 上能用，编程和网络安全方面比 Opus 5 强，还便宜很多。
Chinese contentClaude Fable 5.1 和 GPT-6 Astra 让专有模型与开源模型在网页开发上的差距重新扩大
Claude和GPT-6的新版本让专有模型在网页开发上又领先了，想了解最新差距的可以看看。
Chinese contentDeepSeek-V4.1-Flash 参与Agent Arena竞赛
DeepSeek新出的V4.1-Flash模型参加Agent Arena竞赛，你可以去投票看看它的表现，这个模型设计得更智能、更快、更高效。
Sep 10
DeepSeek-V4.1-Flash model released
For users looking for a high-performing, cost-effective AI model, DeepSeek-V4.1-Flash offers a strong alternative to models like Opus 5, with its open-weight nature and improved efficiency.
Deepseek releases V4.1-Flash model
This matters because it offers a cheaper alternative for building AI agents, with a quarter of the memory needs of its predecessor.
DeepSeek V4.1-Flash KV cache update
This update directly addresses a key cost factor for developers using AI agents, making the model more economical for deployment.
Chinese contentDeepSeek 发布 V4.1-Flash 版本，降低 AI 代理成本
DeepSeek 新出的 V4.1-Flash 版本，专门为了降低 AI 代理的成本，用起来更便宜了。
DeepSeek-V4.1-Flash model introduced
For users needing a smaller, faster AI model, DeepSeek-V4.1-Flash offers a new option that is more efficient than previous versions of the DeepSeek model family.
DeepSeek introduces new model
This new model from DeepSeek is more efficient and faster than previous versions, which could be beneficial for users looking for improved performance.
