{"text": "阿里刚刚发布了参数量高达2.4万亿的千问3.8这直接把开源大模型的参数规模拉到了一个新高度这是阿里通意团队最新推出的旗舰级多模态MOE大模型主打超高阶的推理能力和复杂的智能体开发支持它能做到2.4万亿参数还不卡顿核心就在于MOE架构每次请求只会激活一小部分专家网络这样算力就不会白白浪费为了适应不同场景千问3.8提供了三种规格最大的一款总参数2350亿但每次激活只需要220亿参数还有300亿参数总规模激活30亿的以及参数总量40亿的最小版本这次最关键的更新是它引入了思考模式你可以让模型在快速响应和深度逻辑推理之间自由切换在长文本处理上千问3.8默认支持25.6万token的上下文甚至能直接扩展到100万token塞进好几本书都不在话下目前在阿里云的预览测试中千问3.8的性能紧追行业顶尖的Fable5在代码和数据分析任务上几乎没有对手不过要注意2.4万亿参数意味着极高的显存门槛普通用户本地几乎跑不起来而且目前还缺乏独立第三方的全面评测数据如果你正在开发复杂的agent需要处理超长文档或者希望用全战方案替代碧原大模型千问3.8会是一个性价比非常高的选择大模型的军备竞赛已经不止拼规模能收放自如在速度与深度间找到平衡的才是真正的生产力工具", "segments": [{"id": 0, "seek": 0, "start": 0.0, "end": 4.36, "text": "阿里刚刚发布了参数量高达2.4万亿的千问3.8", "tokens": [50365, 13594, 15759, 49160, 49160, 28926, 34688, 2289, 2129, 224, 33188, 26748, 12979, 9830, 122, 17, 13, 19, 23570, 1369, 123, 1546, 20787, 22064, 18, 13, 23, 50583], "temperature": 0, "avg_logprob": -0.06320686018868779, "compression_ratio": 1.2788461538461537, "no_speech_prob": 1.2514202347990722e-11}, {"id": 1, "seek": 0, "start": 4.36, "end": 8.24, "text": "这直接把开源大模型的参数规模拉到了一个新高度", "tokens": [50583, 5562, 43297, 16075, 18937, 47402, 3582, 41908, 39823, 1546, 2129, 224, 33188, 6758, 226, 41908, 29717, 21381, 20182, 12560, 12979, 13127, 50777], "temperature": 0, "avg_logprob": -0.06320686018868779, "compression_ratio": 1.2788461538461537, "no_speech_prob": 1.2514202347990722e-11}, {"id": 2, "seek": 0, "start": 8.24, "end": 13.74, "text": "这是阿里通意团队最新推出的旗舰级多模态MOE大模型", "tokens": [50777, 27455, 13594, 15759, 19550, 9042, 3919, 95, 10034, 253, 8661, 12560, 33597, 7781, 1546, 4479, 245, 10256, 108, 16853, 100, 6392, 41908, 3757, 223, 18976, 36, 3582, 41908, 39823, 51052], "temperature": 0, "avg_logprob": -0.06320686018868779, "compression_ratio": 1.2788461538461537, "no_speech_prob": 1.2514202347990722e-11}, {"id": 3, "seek": 0, "start": 13.74, "end": 17.78, "text": "主打超高阶的推理能力和复杂的智能体开发支持", "tokens": [51052, 13557, 12467, 19869, 12979, 10034, 114, 1546, 33597, 13876, 8225, 13486, 12565, 1787, 235, 4422, 224, 1546, 5094, 118, 8225, 29485, 18937, 28926, 35488, 51254], "temperature": 0, "avg_logprob": -0.06320686018868779, "compression_ratio": 1.2788461538461537, "no_speech_prob": 1.2514202347990722e-11}, {"id": 4, "seek": 0, "start": 17.78, "end": 21.0, "text": "它能做到2.4万亿参数还不卡顿", "tokens": [51254, 11284, 8225, 10907, 4511, 17, 13, 19, 23570, 1369, 123, 2129, 224, 33188, 14852, 1960, 32681, 10178, 123, 51415], "temperature": 0, "avg_logprob": -0.06320686018868779, "compression_ratio": 1.2788461538461537, "no_speech_prob": 1.2514202347990722e-11}, {"id": 5, "seek": 0, "start": 21.0, "end": 23.02, "text": "核心就在于MOE架构", "tokens": [51415, 8987, 116, 7945, 3111, 3581, 37732, 18976, 36, 7360, 114, 7360, 226, 51516], "temperature": 0, "avg_logprob": -0.06320686018868779, "compression_ratio": 1.2788461538461537, "no_speech_prob": 1.2514202347990722e-11}, {"id": 6, "seek": 0, "start": 23.02, "end": 26.28, "text": "每次请求只会激活一小部分专家网络", "tokens": [51516, 23664, 9487, 27908, 32718, 14003, 12949, 26373, 222, 25956, 2257, 7322, 32174, 940, 241, 5155, 16469, 239, 10115, 250, 51679], "temperature": 0, "avg_logprob": -0.06320686018868779, "compression_ratio": 1.2788461538461537, "no_speech_prob": 1.2514202347990722e-11}, {"id": 7, "seek": 0, "start": 26.28, "end": 28.48, "text": "这样算力就不会白白浪费", "tokens": [51679, 21209, 19497, 13486, 3111, 47928, 13558, 13558, 11038, 103, 18464, 117, 51789], "temperature": 0, "avg_logprob": -0.06320686018868779, "compression_ratio": 1.2788461538461537, "no_speech_prob": 1.2514202347990722e-11}, {"id": 8, "seek": 2848, "start": 28.48, "end": 30.4, "text": "为了适应不同场景", "tokens": [50365, 13992, 2289, 2215, 224, 44297, 47123, 50255, 50218, 50461], "temperature": 0, "avg_logprob": -0.0755479253571609, "compression_ratio": 1.2966666666666666, "no_speech_prob": 1.0173775884247949e-11}, {"id": 9, "seek": 2848, "start": 30.4, "end": 32.64, "text": "千问3.8提供了三种规格", "tokens": [50461, 20787, 22064, 18, 13, 23, 20949, 3254, 249, 2289, 10960, 39810, 6758, 226, 30921, 50573], "temperature": 0, "avg_logprob": -0.0755479253571609, "compression_ratio": 1.2966666666666666, "no_speech_prob": 1.0173775884247949e-11}, {"id": 10, "seek": 2848, "start": 32.64, "end": 35.6, "text": "最大的一款总参数2350亿", "tokens": [50573, 8661, 39156, 2257, 48798, 33440, 2129, 224, 33188, 9356, 2803, 1369, 123, 50721], "temperature": 0, "avg_logprob": -0.0755479253571609, "compression_ratio": 1.2966666666666666, "no_speech_prob": 1.0173775884247949e-11}, {"id": 11, "seek": 2848, "start": 35.6, "end": 38.36, "text": "但每次激活只需要220亿参数", "tokens": [50721, 8395, 23664, 9487, 26373, 222, 25956, 14003, 35748, 17, 2009, 1369, 123, 2129, 224, 33188, 50859], "temperature": 0, "avg_logprob": -0.0755479253571609, "compression_ratio": 1.2966666666666666, "no_speech_prob": 1.0173775884247949e-11}, {"id": 12, "seek": 2848, "start": 38.36, "end": 41.54, "text": "还有300亿参数总规模激活30亿的", "tokens": [50859, 35091, 12566, 1369, 123, 2129, 224, 33188, 33440, 6758, 226, 41908, 26373, 222, 25956, 3446, 1369, 123, 1546, 51018], "temperature": 0, "avg_logprob": -0.0755479253571609, "compression_ratio": 1.2966666666666666, "no_speech_prob": 1.0173775884247949e-11}, {"id": 13, "seek": 2848, "start": 41.54, "end": 44.6, "text": "以及参数总量40亿的最小版本", "tokens": [51018, 40282, 2129, 224, 33188, 33440, 26748, 5254, 1369, 123, 1546, 8661, 7322, 42096, 8802, 51171], "temperature": 0, "avg_logprob": -0.0755479253571609, "compression_ratio": 1.2966666666666666, "no_speech_prob": 1.0173775884247949e-11}, {"id": 14, "seek": 2848, "start": 44.6, "end": 47.74, "text": "这次最关键的更新是它引入了思考模式", "tokens": [51171, 5562, 9487, 8661, 28053, 23049, 106, 1546, 19002, 12560, 1541, 11284, 41301, 14028, 2289, 8870, 26504, 41908, 27584, 51328], "temperature": 0, "avg_logprob": -0.0755479253571609, "compression_ratio": 1.2966666666666666, "no_speech_prob": 1.0173775884247949e-11}, {"id": 15, "seek": 2848, "start": 47.74, "end": 52.5, "text": "你可以让模型在快速响应和深度逻辑推理之间自由切换", "tokens": [51328, 42766, 33650, 41908, 39823, 3581, 10251, 31217, 3858, 235, 44297, 12565, 24043, 13127, 2215, 119, 9830, 239, 33597, 13876, 9574, 31685, 45233, 23632, 26075, 95, 51566], "temperature": 0, "avg_logprob": -0.0755479253571609, "compression_ratio": 1.2966666666666666, "no_speech_prob": 1.0173775884247949e-11}, {"id": 16, "seek": 2848, "start": 52.5, "end": 54.5, "text": "在长文本处理上", "tokens": [51566, 3581, 32271, 17174, 8802, 1787, 226, 13876, 5708, 51666], "temperature": 0, "avg_logprob": -0.0755479253571609, "compression_ratio": 1.2966666666666666, "no_speech_prob": 1.0173775884247949e-11}, {"id": 17, "seek": 2848, "start": 54.5, "end": 58.36, "text": "千问3.8默认支持25.6万token的上下文", "tokens": [51666, 20787, 22064, 18, 13, 23, 6173, 246, 7422, 97, 35488, 6074, 13, 21, 23570, 83, 8406, 1546, 5708, 4438, 17174, 51859], "temperature": 0, "avg_logprob": -0.0755479253571609, "compression_ratio": 1.2966666666666666, "no_speech_prob": 1.0173775884247949e-11}, {"id": 18, "seek": 5836, "start": 58.36, "end": 60.839999999999996, "text": "甚至能直接扩展到100万token", "tokens": [50365, 17556, 20844, 8225, 43297, 3416, 102, 43491, 4511, 6879, 23570, 83, 8406, 50489], "temperature": 0, "avg_logprob": -0.08666278906827847, "compression_ratio": 1.157377049180328, "no_speech_prob": 1.7757463902090542e-11}, {"id": 19, "seek": 5836, "start": 60.839999999999996, "end": 63.16, "text": "塞进好几本书都不在话下", "tokens": [50489, 13331, 252, 36700, 2131, 6336, 254, 8802, 2930, 99, 7182, 1960, 3581, 21596, 4438, 50605], "temperature": 0, "avg_logprob": -0.08666278906827847, "compression_ratio": 1.157377049180328, "no_speech_prob": 1.7757463902090542e-11}, {"id": 20, "seek": 5836, "start": 63.16, "end": 65.86, "text": "目前在阿里云的预览测试中", "tokens": [50605, 39004, 3581, 13594, 15759, 1369, 239, 1546, 12501, 226, 6758, 230, 11038, 233, 5233, 243, 5975, 50740], "temperature": 0, "avg_logprob": -0.08666278906827847, "compression_ratio": 1.157377049180328, "no_speech_prob": 1.7757463902090542e-11}, {"id": 21, "seek": 5836, "start": 65.86, "end": 69.66, "text": "千问3.8的性能紧追行业顶尖的Fable5", "tokens": [50740, 20787, 22064, 18, 13, 23, 1546, 21686, 8225, 7732, 100, 39947, 8082, 940, 248, 10178, 114, 1530, 244, 1546, 37, 712, 20, 50930], "temperature": 0, "avg_logprob": -0.08666278906827847, "compression_ratio": 1.157377049180328, "no_speech_prob": 1.7757463902090542e-11}, {"id": 22, "seek": 5836, "start": 69.66, "end": 72.82, "text": "在代码和数据分析任务上几乎没有对手", "tokens": [50930, 3581, 19105, 23230, 223, 12565, 33188, 26075, 106, 6627, 7360, 238, 26443, 5087, 94, 5708, 6336, 254, 2930, 236, 17944, 8713, 11389, 51088], "temperature": 0, "avg_logprob": -0.08666278906827847, "compression_ratio": 1.157377049180328, "no_speech_prob": 1.7757463902090542e-11}, {"id": 23, "seek": 5836, "start": 72.82, "end": 74.06, "text": "不过要注意", "tokens": [51088, 1960, 16866, 4275, 40794, 51150], "temperature": 0, "avg_logprob": -0.08666278906827847, "compression_ratio": 1.157377049180328, "no_speech_prob": 1.7757463902090542e-11}, {"id": 24, "seek": 5836, "start": 74.06, "end": 77.12, "text": "2.4万亿参数意味着极高的显存门槛", "tokens": [51150, 17, 13, 19, 23570, 1369, 123, 2129, 224, 33188, 9042, 17268, 20708, 7360, 223, 12979, 1546, 1431, 122, 39781, 8259, 101, 24880, 249, 51303], "temperature": 0, "avg_logprob": -0.08666278906827847, "compression_ratio": 1.157377049180328, "no_speech_prob": 1.7757463902090542e-11}, {"id": 25, "seek": 5836, "start": 77.12, "end": 79.8, "text": "普通用户本地几乎跑不起来", "tokens": [51303, 29993, 19550, 9254, 1486, 115, 8802, 10928, 6336, 254, 2930, 236, 32585, 26451, 6912, 51437], "temperature": 0, "avg_logprob": -0.08666278906827847, "compression_ratio": 1.157377049180328, "no_speech_prob": 1.7757463902090542e-11}, {"id": 26, "seek": 5836, "start": 79.8, "end": 83.2, "text": "而且目前还缺乏独立第三方的全面评测数据", "tokens": [51437, 22942, 39004, 14852, 38109, 118, 2930, 237, 18637, 105, 24409, 35878, 9249, 1546, 11319, 8833, 5233, 226, 11038, 233, 33188, 26075, 106, 51607], "temperature": 0, "avg_logprob": -0.08666278906827847, "compression_ratio": 1.157377049180328, "no_speech_prob": 1.7757463902090542e-11}, {"id": 27, "seek": 8320, "start": 83.2, "end": 85.62, "text": "如果你正在开发复杂的agent", "tokens": [50365, 45669, 15789, 3581, 18937, 28926, 1787, 235, 4422, 224, 1546, 559, 317, 50486], "temperature": 0, "avg_logprob": -0.11954203430487186, "compression_ratio": 1.0591133004926108, "no_speech_prob": 1.75494289239575e-11}, {"id": 28, "seek": 8320, "start": 85.62, "end": 87.28, "text": "需要处理超长文档", "tokens": [50486, 35748, 1787, 226, 13876, 19869, 32271, 17174, 21416, 96, 50569], "temperature": 0, "avg_logprob": -0.11954203430487186, "compression_ratio": 1.0591133004926108, "no_speech_prob": 1.75494289239575e-11}, {"id": 29, "seek": 8320, "start": 87.28, "end": 90.34, "text": "或者希望用全战方案替代碧原大模型", "tokens": [50569, 31148, 29955, 9254, 11319, 1486, 246, 9249, 28899, 9531, 123, 19105, 16337, 100, 19683, 3582, 41908, 39823, 50722], "temperature": 0, "avg_logprob": -0.11954203430487186, "compression_ratio": 1.0591133004926108, "no_speech_prob": 1.75494289239575e-11}, {"id": 30, "seek": 8320, "start": 90.34, "end": 93.74000000000001, "text": "千问3.8会是一个性价比非常高的选择", "tokens": [50722, 20787, 22064, 18, 13, 23, 12949, 1541, 20182, 21686, 1550, 115, 11706, 14392, 12979, 1546, 2215, 231, 6852, 102, 50892], "temperature": 0, "avg_logprob": -0.11954203430487186, "compression_ratio": 1.0591133004926108, "no_speech_prob": 1.75494289239575e-11}, {"id": 31, "seek": 8320, "start": 93.74000000000001, "end": 95.66, "text": "大模型的军备竞赛", "tokens": [50892, 3582, 41908, 39823, 1546, 5676, 249, 1787, 229, 11957, 252, 5266, 249, 50988], "temperature": 0, "avg_logprob": -0.11954203430487186, "compression_ratio": 1.0591133004926108, "no_speech_prob": 1.75494289239575e-11}, {"id": 32, "seek": 8320, "start": 95.66, "end": 96.9, "text": "已经不止拼规模", "tokens": [50988, 49161, 1960, 30438, 6852, 120, 6758, 226, 41908, 51050], "temperature": 0, "avg_logprob": -0.11954203430487186, "compression_ratio": 1.0591133004926108, "no_speech_prob": 1.75494289239575e-11}, {"id": 33, "seek": 8320, "start": 96.9, "end": 98.0, "text": "能收放自如", "tokens": [51050, 8225, 18681, 12744, 9722, 8238, 51105], "temperature": 0, "avg_logprob": -0.11954203430487186, "compression_ratio": 1.0591133004926108, "no_speech_prob": 1.75494289239575e-11}, {"id": 34, "seek": 9800, "start": 98.0, "end": 100.44, "text": "在速度与深度间找到平衡的", "tokens": [50365, 3581, 31217, 13127, 940, 236, 24043, 13127, 31685, 25085, 4511, 16716, 9890, 94, 1546, 50487], "temperature": 0, "avg_logprob": -0.0847034772237142, "compression_ratio": 0.8571428571428571, "no_speech_prob": 1.5212458029378872e-11}, {"id": 35, "seek": 9800, "start": 100.44, "end": 102.26, "text": "才是真正的生产力工具", "tokens": [50487, 18888, 1541, 6303, 15789, 1546, 8244, 1369, 100, 13486, 23323, 39806, 50578], "temperature": 0, "avg_logprob": -0.0847034772237142, "compression_ratio": 0.8571428571428571, "no_speech_prob": 1.5212458029378872e-11}], "language": "zh"}