Latest
Developers can use Terminal-Universe to create more realistic training environments for terminal-based code agents, improving their performance on real-world coding tasks.
Fable 5.1 (Max) offers top-tier performance at $40/MToken, making it a competitive option for developers in the region seeking advanced AI coding assistance.
Qwen3.6-35B-A3B 在苹果笔记本上跑得比 MLX-LM 还快，吞吐量提升超 20%，质量不打折。
国产模型在细分领域表现亮眼，GLM-5.3-Flash代码能力超越多数海外模型，千问3.8-Max直接登顶前端榜。
阿里Qwen3.8-Max-0902以1691分登顶CodeArena WebDev排行榜，比前代模型高出22分，价格仅5美元/百万token。
Qwen3.8-Max-0902 offers top coding performance at competitive pricing compared to alternatives like Claude Opus 5 and Kimi K3.
Qwen3.8-Max-0902 offers top coding performance at a competitive price point, making it a strong alternative to more expensive models like Claude Opus 5 and Kimi K3.
阿里Qwen3.8-Max-0902在代码基准测试中超越Claude和Kimi，价格实惠，多项类别领先。
Released under Apache-2.0 license with lowest median latency at 14.3 ms, offering robust protection against Russian and English prompt injections.
Shopify用0.8B小模型微调后打败了GPT 5.6-sol xhigh，小模型专用训练有奇效。
阿里Qwen3.8-Flash-Next在Agent Arena排名第7，比前代模型提升2.4%，任务完成率高达12.3%。
Qwen3.8-Flash-Next ranks among top open-source models, offering strong performance for developers in the region.
Both models offer similar performance at competitive prices, giving Chinese users more affordable alternatives to Western AI models.
Available immediately for fine-tuning on NVIDIA platforms, offering developers early access to Qwen4 architecture capabilities.
想了解最新开源数据库和AI模型进展的朋友，这条新闻不容错过！DuckLabs 加入 AWS，GLM-5.3-Flash 和 Qwen3.8-Flash-Next 都值得关注。
JIT-Agent improves performance across multiple model families including DeepSeek V4 and Qwen3.6, offering a scalable alternative to manual harness design.
The model offers high performance with fewer active parameters, making it efficient for developers in the region to experiment with multimodal AI capabilities.
Alibaba_Qwen新发布的Qwen3.8 Flash模型，支持多种功能，是编码助手和视觉理解的好帮手，值得一试。
Alibaba Qwen发布了Qwen3.8-Flash-Next，一个开放权重模型，支持多种微调工具，成本效益高，值得一看。
想体验成本效益高的多模态模型？试试Qwen3.8-Flash，它基于Qwen4架构，参数庞大，支持1M上下文扩展，API定价低至0.16/1M输入令牌！
UnslothAI推出Qwen3.8-Flash模型，性能强劲，内存需求低，是Claude-Opus-4.6（Max）的强劲对手。
Priced at $0.16/$0.47 per Mtokens, this model offers strong coding performance at lower costs than competitors, making it attractive for developers in the region.
阿里Qwen团队发布了Qwen3.8-Flash-Next模型，参数量巨大，架构创新，训练成本低，值得关注。
Available on vLLM with day-0 support for both NVIDIA and AMD GPUs, offering efficient sparse attention and offloadable N-gram table.
Qwen4's 51B N-gram embeddings scale model capacity with minimal extra compute per token, making it efficient for long-horizon tasks in the region.
Cost-efficient alternative to Claude Opus 4.6, potentially more accessible for ASEAN developers and businesses.
Qwen3.8-Flash-Next 开源，效率提升显著，成本降低，性能优异，是 Qwen4 架构的早期预览，值得尝试！
Alibaba Qwen团队发布了Qwen3.8-Flash，性能卓越且价格亲民，是DeepSeek V4 Flash和Claude Opus 4.6 Max的性价比之选。
阿里巴巴发布 Qwen3.8-Flash，多模态 MoE 模型，性能强，成本低，是 Qwen4 架构的早期预览，值得尝试！