本地部署大模型不等于胜任真实业务，AI还需精准理解复杂规则、遵守安全边界、正确调用外部工具。针对这一痛点，蚂蚁ASystem团队联合开源社区维护的本地化后训练工具包AReno，携手百灵大模型推出轻量级后训练实践路径，以提升模型业务落地能力。
百灵大模型开源万亿参数旗舰模型Ring-2.6-1T，聚焦解决大模型在真实生产环境中的执行力不足问题。该模型转向端到端推进Agent工作流、软件工程及科研分析等长链路任务。技术层面实现三大突破：Agent执行能力全面增强，在PinchBench与ClawEval等基准测试中达开源最优水平。
蚂蚁集团百灵大模型团队今日开源万亿级旗舰模型Ling-2.6-1T，该模型不追求参数堆叠，而是优化指令执行、工具适配及长上下文能力。其创新混合架构通过强化奖励策略降低Token开销，实现高效“快思考”机制。
蚂蚁百灵大模型今日开源万亿参数旗舰模型Ling-2.6-1T，采用MLA与LinearAttention混合架构实现“快思考”机制，提升智效比，在评测中展现高Token效率，解决真实生产流中的效率难题。
Openai
$2.8
Input tokens/M
$11.2
Output tokens/M
1k
Context Length
Google
$0.49
$2.1
Xai
$1.4
$3.5
2k
$7.7
$30.8
200
-
Anthropic
$105
$525
$0.7
$7
$35
$17.5
$21
Alibaba
$4
$16
$1
$10
256
$2
$20
Baidu
128
$6
$24
$8
$240
52
Bytedance
$1.2
$3.6
4
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