#V4.1 Flash

53 stories · 13 in 7 days · 27 in 30 days
Stories, products and papers tagged "V4.1 Flash", newest first.
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ModelsUS vs ChinaOfficialSelected21:01
DeepSeek V4.1 Flash tested on game effect prompts

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.

官方一手歸藏(guizang.ai)@op7418Source
ModelsBuildersOfficialSelected20:08
DeepSeek V4.1 Flash 1017 Tested on Game Effects Prompt

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.

官方一手歸藏(guizang.ai)@op7418Source
Oct 15
ModelsUS vs ChinaMulti-sourceSelected13:00
DeepSeek V4.1 Flash Tops Artificial Analysis AgentPerf Leaderboard

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.

Event
官方账号Artificial Analysis@ArtificialAnlys11 sourcesSource
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ProductsBuildersSelected73°19:12
OpenCode Makes US$60 DeepSeek V4.1 Flash Credit Permanent

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.

IT之家Source
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Chinese contentDeepSeek 发布 V4.1 Flash 模型,采用不对称 MoE 架构并开源

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。

SuperTechFansSource
Sep 10