V4.1 Flash-1017 在 ARC-AGI-2 上小胜 Gemini 3.1 Pro Preview,想看推理模型基准对比的可以看看这组数据。
#V4.1 Flash
DeepSeek 在知乎自曝家底:V4.1 Flash 每卡每小时收入 $38,有人算出毛利率约 80%,这数据 Twitter 上根本没有。
有人质疑 V4.1 Pro 可能跟 Flash 差距不大,理由是 RL 预算和蒸馏数据卡了上限,观点挺有参考性。
作者把 DeepSeek V4.1 Flash 1017 从价格到编程基准都跑了一遍,还做了同题写作对比,想换模型前可以先看看这篇再决定。
The practical comparison suggests DeepSeek's lightweight tier can handle production-style creative coding tasks that previously demanded Claude's top model. Developers building effect or animation workflows on a budget can treat V4.1 Flash as a workable fallback. Testing against your own Opus prompts is the quickest way to gauge the gap.
歸藏拿做游戏特效的老提示词试了 DeepSeek V4.1 Flash 1017,能出可用效果,就是比 Opus 5.5 差点细节和创意,有视频可看。
The benchmark chart on DeepSeek SWE V1.1 puts it above all competing models, so independent comparisons like this one matter before trusting the numbers. Builders running agent harnesses can try the new search API for Chinese-language retrieval. The trade-off against Opus 5.5 in creativity gives a concrete quality reference for cost-sensitive projects.
有人拿同一个画乌龟的提示词对比了 V4.1 Flash 新旧版本,新版本快很多,但快到 90% 会开始磨蹭,得手动拉一把,实测细节挺有用。
DeepSeek 的 V4.1 Flash 1017 已在 OpenRouter 上线,更省 token、智能体任务表现更好,可以直接调来试试。
DeepSeek 的新版本在自家 SWE V1.1 基准跑分领先,成本更低还开放了搜索 API,做开发工作流的可以看看
V4.1 Flash 1017 更新了,用自反馈 RL 让模型能从零做出完整游戏和 3D 项目,搜索功能被网友点赞。
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。
Serving efficiency, not raw scale, is where V4.1 Flash wins: it delivers 1.3x to 6.2x the throughput per MW of V4 Pro 0813 across Blackwell hardware while scoring higher on intelligence. Teams running agentic coding workloads can use the AA-AgentPerf data to pick hardware — B300 nodes stay within about 20% of rack-scale GB300 NVL72, so single 8-GPU nodes are viable for this model. As an open-weights release from DeepSeek, it widens cheap self-hosting options for Southeast Asian inference providers competing with rented frontier APIs.
DeepSeek用V4.1 Flash做了个开源演示应用,在Together AI上能直接体验,感兴趣的朋友可以去试试。
Claude和DeepSeek两大模型订阅价格对比,帮你算算哪个更划算
DeepSeek V4.1 Flash 把和 Anthropic 的跑分差距从 15% 追到只剩 3%,想知道中美模型现在差多少的看这篇。
Recraft V4.1 Flash 的实战案例,一条长提示词画出一堆小细节还都放对位置,完整提示词直接贴出来了,可以抄着改。
Recraft V4.1 Flash 生成的角色不走“网红脸”路线,视角还挺有时尚大片感,作者把完整提示词公开了,做角色设计的可以直接抄作业。
Permanently quadrupling the credit signals that DeepSeek's flash-tier economics are now viable for third-party platforms to subsidise, a shift in how cheap frontier-adjacent inference has become. Developers comparing coding-assistant plans can treat this as a direct price benchmark against comparable Claude or GPT flash-tier offerings. DeepSeek's official partnership with OpenCode also shows Chinese labs distributing through agentic coding tools rather than APIs alone.
Recraft 的 V4.1 Flash 速度真快,用户 Heather Green 放了四组油画和复古字排的完整提示词,想玩文生图的直接抄。
Recraft V4.1 Flash 的实时生成实测,一个角色瞬间变出多组动作姿势,还能套少见画风,做角色设计可以试试。
Recraft 新出的 V4.1 Flash 生成速度飞快,还有人像摄影师实测编辑风格人像,Refine 还能补质感,做图的朋友可以试试。
Recraft 出了个 V4.1 Flash,1.3 秒就出图,号称现在最快的图像模型,赶时间的可以试试这个再点 Refine 修细节。
Notion 推出了 DeepSeek V4.1 Flash 模型,你可以用它来创建更快的智能体,比之前版本更快。
DeepSeek 新模型 V4.1 Flash 性价比很高,在 OpenRouter 上 24 小时处理 1T token,比 GLM-5.3 Flash 便宜 5 倍。
This matters to users because DeepSeek is keeping its older, more affordable model available for another month, allowing them to continue using it without a price increase.
For users looking for a more affordable and efficient large language model, DeepSeek V4.1 Flash offers a clear upgrade path from the V4 Pro model.
DeepSeek 新模型比 OpenAI 和 Z.AI 便宜,性能还更好,值得看看。
DeepSeek 推出了 V4.1 Flash,性能接近 GPT-5.6,但成本只有 1/30,用 15 美元就能跑 100 个复杂任务,性价比很高。
DeepSeek 新出的 V4.1 Flash 模型,用不对称 MoE 架构,参数量 552B,但只用了 8B 活跃参数处理输入、16B 处理输出,比上一代节省了 3/4 的存储,算力效率更高,还支持多模态,价格也便宜,适合需要高效推理的场景。
DeepSeek 新出的 V4.1 Flash 模型,用起来特别便宜,比 Sol 和 Opus 便宜50倍,性能还差不多,适合预算有限的人。
DeepSeek 新发布的 V4.1 Flash 模型,比 V4-Pro 小三分之一,但在很多测试里还比它强,价格也便宜很多,值得看看。
This matters because it's a new, more efficient 552B model from DeepSeek that reduces hardware requirements and costs, making it more accessible for developers and businesses.
DeepSeek's new V4.1 Flash model is now available, replacing the V4 Pro version. The pricing for the new model started on September 10, and the transition to Flash is scheduled for September 14.