Chinese contentGemini 3.8 Flash 在 Cline 中免费可用
Cline 里免费用 Gemini 3.8 Flash，1M 上下文加 291 tok/s，跑分还压过 GPT-5.6 Luna 和 DeepSeek v4.1 Flash，写代码可以直接试。
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Every published item, in order · 504 items
Sep 25
Chinese content单文件 Minecraft 测试：DeepSeek V4.1 Flash 胜过 Space Bunny Alpha
有人拿 DeepSeek V4.1 Flash 和 Space Bunny Alpha 现场比拼，让两个模型各自写一个网页版 Minecraft，前者能跑能挖，后者地面还有破洞，结果一目了然。
Sep 24
Chinese contentZenith 系统让 DeepSeek v4.1 Flash 在长程任务上超过 GPT 5.6 Sol
Zenith 用最便宜的 DeepSeek v4.1 Flash 打赢了 GPT 5.6 Sol，开源党可以看看它怎么做到的。
Chinese contentDeepSeek 疑似在新架构上推进，V4.1 或将采用 YOCO 相关设计
有人推测 DeepSeek V4.1 会用 YOCO 这类新架构，如果靠谱，KV 缓存开销可能大幅下降，架构党可以留意。
Step 5 Preview Tested Against DeepSeek V4 Pro and GLM5.3 on 3D Game Build
The non-obvious detail is the self-test-and-fix loop: rather than stopping after generating code, Step 5 Preview verified the game actually ran, which is what separates deliverable output from demo code. Builders choosing between Chinese flagship models for agentic coding work can use this hands-on comparison as a practical reference, since the three models faced the same unconstrained prompt and had to pick their own architecture and project structure.
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。
Chinese content开源 MiMo v2.6 成为性价比新标杆，代理成本仅为 Grok 4.7 的 1/57
小米的 MiMo v2.6 Flash 跑分接近 Grok 4.7，成本却只有 1/57，做 agent 的可以看看这份 60 任务实测。
Sep 22
Open model releases since July
Chinese models like Qwen3.8-Max and DeepSeek V4-Pro now rival top closed-source options, affecting AI development costs globally.
Chinese contentGrok 4.7 浏览器长任务基准 39.9 分，仍落后 DeepSeek
Grok 4.7 浏览器任务 39.9 分，比上代涨 8.7，但只有 GPT-6 Astra 一半。
Chinese content小米开源全模态模型 MiMo-V2.6：AA 指数 46 分超 Kimi K3
小米把 MiMo-V2.6 权重全开源了，Pro 在 AA 指数拿 46 分压过 Kimi K3，价格只有海外模型的 1/20。
IT之家Source
Sep 21
GameASG-Bench: Benchmarking Autonomous Software Generation for Game Development
This paper provides a detailed benchmark for evaluating the performance of AI models in generating autonomous software for game development, which is relevant for anyone interested in the capabilities and limitations of these models.
Chinese contentOpenAI 用 1 万个代理展示纳维-斯托克斯方程失效，DeepSeek V4.1 Flash 发布新架构
OpenAI 用 1 万个代理做了个实验，结果挺有意思的，DeepSeek 也出了个新版本，对长文本处理更便宜了。
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.
Chinese content智谱GLM 5.3 FlashX性能提升但价格更高，被DeepSeek v4.1 Flash超越
智谱AI新出的GLM 5.3 FlashX模型，性能确实有提升，但价格比之前贵不少，而且被DeepSeek的v4.1 Flash模型给超越了。
Sep 19
Chinese contentGitHub 上全是 Jev 的衍生项目，疯都疯了。
GitHub 上全是 Jev 的衍生项目，疯都疯了。后面看哪家大模型，率先系统级组合 Jev 类似的功能，我希望这个模型是 DeepSeek-V4.2-Flash。Jev 当门卫，DeepSeek 当大脑或者 DeepSeek 出候选，Jev 做选择。DeepSeek 负责慢思考和文本生成，Jev 负责快决策和门控。
Chinese contentBolt 上开源模型首周，开发者选最快 DeepSeek V4.1 Flash
Bolt 上开源模型首周，开发者选最快 DeepSeek V4.1 Flash，该版本在 Bolt Forge 中上线，使用量是 DeepSeek V4 Pro 的 10 倍。
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。
Nemotron-SEA-LION-v4.8 AI models announced by AI Singapore and NVIDIA
This is the first open-weights AI model specifically designed for Southeast Asia's diverse languages, offering a new option for regional developers.
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 17
Chinese contentGPT Image 2.5 Flare 与 Recraft V4.1 Pro 新一轮对比测试
想看看 GPT Image 2.5 Flare 和 Recraft V4.1 Pro 谁在生成动漫风格图像时更擅长，可以看看评论区里的测试细节。
Sep 16
Chinese contentRecraft V4 Styles 发布，单图生成多样内容
朋友，Recraft 新出的 V4 Styles 很酷，你上传一张图就能生成各种角色和场景，比之前版本灵活多了。
DeepSeek engineer says AI will surpass human-written code soon
For those interested in the future of AI development, Liu Shengyu's perspective offers a rare and candid look at the challenges and motivations of a leading engineer working on a major model.
IT之家Source
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 contentClaude Fable 5.1 仍居 AI 指数首位，与 GPT-6 Astra 并列
Anthropic 新发布的 Claude Fable 5.1 在最新 AI 指数中表现不错，和 GPT-6 Astra 并列第一，而且能帮你省点钱。
DeepSeek-V4-Flash on AMD GPUs: Correctness and Performance Engineering
For users interested in optimizing large language model inference on AMD hardware, this paper provides detailed engineering insights and performance benchmarks.
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
Chinese contentGPT Image 2.5 Flare 与 Recraft V4.1 Pro 的图像生成对比测试
朋友A和朋友们对比了GPT Image 2.5 Flare和Recraft V4.1 Pro生成的四张图片，你可以去看看他们用了什么提示词，看看谁画得更好。
China Mobile Cloud debuts heterogeneous LLM inference stack
This is a significant development in AI infrastructure, showing how companies are optimizing LLM performance and costs.
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 13
China's first domestic GPU + neuromorphic chip hybrid inference system for large models released
This system is a significant advancement in China's domestic AI hardware, offering a more cost-effective alternative to traditional GPU-only setups for large model inference.
IT之家Source
Sep 12
Qwen3.8-27B model runs on Cerebras for faster inference
The Qwen3.8-27B model is now available on Cerebras hardware, offering faster inference speeds compared to its previous deployment.
DeepSeek v4.1-Flash model released
This is a major upgrade for the DeepSeek model, showing significant progress in its architecture and scale.
DeepSeek V4.1 Flash benchmarked against coding agents
For developers, this matters because it shows DeepSeek V4.1 Flash's coding capabilities are robust and not tied to a specific agent framework, making it a versatile choice for different coding tasks.