{"text": "7月31號,Deepseek发布了VisFlash正式版,這是它史上最強的模型。一周之後的今天,Deepseek給全部的API用戶都發了一個通知,計劃近期整體上調價格,而且預計漲幅較大。我第一反應是看錯了,因為Deepseek在文印象裡面一直只發降價的新聞。我翻了一下,最接近漲價的一次是今年6月的上旬,風股的定價,高峰時段的雙倍的價格,僅此而已。所以很多小伙伴來問,這次憑什麼漲,是要收割了嗎?所以我來跟大家分析一下。先說它原來有多便宜,真的非常便宜。很多人沒用過Deepseek的按量集費,所以沒有這個感覺。我們先來看單價,就是每百萬Token的輸入輸出,Flash的價格是一塊和兩塊,Pro是三塊和六塊,在國產模型裡面就是偏低的。然後它還有兩個別家沒有的東西,第一個就是一個million的100萬的上下文,不額外收費。第二個就是緩存命中只有輸入價格的五十分之一,相當於只有兩分錢,遠低於其他的廠商。而且還有一個細節,就是Deepseek的緩存優化做得非常好,寫代碼的場景裡面,命中率基本上95%以上。這樣算下來,其實100萬Token的綜合單價只要六分錢,1億Token只要六塊錢。前幾天7月31號,V4Flash正式版本一發,能力大幅度增強。光看跑分已經超過了,參數量比它大好幾倍的JRM5.2。又便宜,然後又強。關鍵的它還快。關鍵的它還快,土字速度大概在每秒100個Token以上,甩開其他大模型一大截。所以跑那些agent任務的時候特別絲滑,便宜,能力又強,速度又快,三樣都湊起來。可以說在某種程度上來說,打破了一個不可能的三角。結果就是API的調用量翻了好幾倍,官方沒公布具體的調用數據,但可以從它最大的客戶OpenCode上去推算。OpenCode不光是個agent工具,它還提供這種大模型的調用的服務,裡面的DeepSeek就是官方提供的。套餐會有一些折扣,所以比DeepSeek官方去安量收費要便宜一點。而且它又是個開源的項目,所以它不限制去接什麼其他的工具。所以很多人,包括我在內,都從OpenCode裡面去使用DeepSeek。OpenCode裡面提供免費的V4Flash,付費套餐Go裡面也有收費版。我自己訂了這個套餐,實際用下來,免費版跟收費版其實沒有太大差別,只是免費版它有調用次數的限制。然後接著我們來看具體的數字。OpenCode的工具,官方說,8月1日,V4Flash發布的第二天,免費版燒了5T的Token,收費版燒了3T的Token,第二天就是8T。這還只是開始,OpenCode有一個實時的數據頁面,收費Token的日消耗量。8月5日已經漲到了6.3T,是Flash正式版發布前的4倍。如果我們再去按照免費跟收費版的比例來推算一下,免費部分一天還要再燒10.5T左右的Token,加起來一天大概要燒17T左右的Token。17T是個什麼概念?就是OpenRoot,我們知道它是全球最大的模型的主軟,基本上沒有質疑,幾百個大模型,800萬的用戶,全平台加起來一天也就3T多的Token。OpenCode在DeepSeek一個模型上就要燒的量,是整個OpenRooter幾百個模型用量的總和的5倍。所以我們來推測一下,官方沒有說漲價的原因,但我認為最有可能的解釋就是,算力真的不太夠了。於是Flash變強之後,吸引來的是Agent的重度用戶,工具一接上之後,Token就是沉吊的燒起來了。光是OpenCode這一個客戶一天就能干到17T,用量一周直接漲了4倍。但是背後這個卡這個算力不會一周之內就多出4倍,能立刻的去見效。所以只能拿價格去來做暫時的調節。好了,接下來趕緊跟大家來分享一下快訊。然後,今天視頻就到這裡,我是Dizon黑心李少,我們下次見。謝謝。", "segments": [{"id": 0, "seek": 0, "start": 0.0, "end": 29.32, "text": "7月31號,Deepseek发布了VisFlash正式版,這是它史上最強的模型。一周之後的今天,Deepseek給全部的API用戶都發了一個通知,計劃近期整體上調價格,而且預計漲幅較大。我第一反應是看錯了,因為Deepseek在文印象裡面一直只發降價的新聞。我翻了一下,最接近漲價的一次是今年6月的上旬,風股的定價,高峰時段的雙倍的價格,僅此而已。所以很多小伙伴來問,這次憑什麼漲,是要收割了嗎?所以我來跟大家分析一下。先說它原來有多便宜,真的非常便宜。", "tokens": [50365, 22, 6939, 12967, 18616, 11, 11089, 595, 405, 916, 28926, 34688, 2289, 53, 271, 25680, 1299, 15789, 27584, 42096, 11, 16600, 11284, 45399, 5708, 8661, 22752, 1546, 41908, 39823, 1543, 2257, 37390, 26362, 1546, 12074, 11, 11089, 595, 405, 916, 17798, 38714, 1546, 4715, 40, 9254, 1486, 114, 7182, 14637, 2289, 8990, 19550, 6498, 11, 30114, 5087, 225, 17463, 16786, 27662, 23987, 5708, 32943, 45441, 30921, 11, 22942, 30156, 30114, 14065, 110, 3509, 227, 23915, 3582, 1543, 1654, 18049, 22138, 20481, 1541, 4200, 13133, 2289, 11, 11471, 11089, 595, 405, 916, 3581, 17174, 35825, 45007, 32399, 34448, 14003, 14637, 47421, 45441, 1546, 41002, 1543, 1654, 42716, 2289, 8861, 11, 8661, 14468, 17463, 14065, 110, 45441, 1546, 27505, 1541, 38937, 21, 6939, 1546, 5708, 4479, 105, 11, 22713, 14356, 94, 1546, 12088, 45441, 11, 12979, 26555, 108, 6611, 28427, 1546, 6306, 247, 35477, 1546, 45441, 30921, 11, 9502, 227, 17947, 48420, 1543, 7239, 20778, 7322, 7384, 247, 7384, 112, 3763, 11361, 11, 2664, 9487, 29713, 239, 7598, 14065, 110, 11, 1541, 4275, 18681, 5935, 110, 2289, 7434, 30, 7239, 1654, 3763, 47349, 6627, 7360, 238, 8861, 1543, 10108, 4622, 11284, 19683, 3763, 2412, 6392, 27364, 2415, 250, 11, 8034, 14392, 27364, 2415, 250, 1543, 51831], "temperature": 0, "avg_logprob": -0.133754112870221, "compression_ratio": 1.289237668161435, "no_speech_prob": 8.627482409040432e-12}, {"id": 1, "seek": 2932, "start": 29.32, "end": 59.32, "text": "很多人沒用過Deepseek的按量集費,所以沒有這個感覺。我們先來看單價,就是每百萬Token的輸入輸出,Flash的價格是一塊和兩塊,Pro是三塊和六塊,在國產模型裡面就是偏低的。然後它還有兩個別家沒有的東西,第一個就是一個million的100萬的上下文,不額外收費。第二個就是緩存命中只有輸入價格的五十分之一,相當於只有兩分錢,遠低於其他的廠商。而且還有一個細節,就是Deepseek的緩存優化做得非常好,寫代碼的場景裡面,命中率基本上95%以上。這樣算下來,其實", "tokens": [50365, 20778, 4035, 4913, 9254, 8816, 11089, 595, 405, 916, 1546, 26613, 26748, 26020, 50071, 11, 7239, 6963, 6287, 31742, 1543, 5884, 10108, 3763, 4200, 24227, 45441, 11, 5620, 23664, 31906, 14099, 51, 8406, 1546, 12290, 116, 14028, 12290, 116, 7781, 11, 25680, 1299, 1546, 45441, 30921, 1541, 2257, 26268, 12565, 16313, 26268, 11, 12681, 1541, 10960, 26268, 12565, 30566, 26268, 11, 3581, 8053, 33299, 41908, 39823, 32399, 5620, 7437, 237, 41377, 1546, 1543, 10213, 11284, 15569, 34623, 16158, 5155, 6963, 1546, 26978, 11, 40760, 5620, 8990, 40388, 1546, 6879, 14099, 1546, 5708, 4438, 17174, 11, 1960, 10178, 235, 12022, 18681, 50071, 1543, 49085, 5620, 12608, 102, 39781, 25236, 5975, 35244, 12290, 116, 14028, 45441, 30921, 1546, 21001, 20145, 6627, 9574, 2257, 11, 15106, 13118, 19488, 35244, 16313, 6627, 29483, 11, 34489, 41377, 19488, 9572, 31309, 17527, 254, 45581, 1543, 22942, 15569, 8990, 41588, 27694, 11, 5620, 11089, 595, 405, 916, 1546, 12608, 102, 39781, 12827, 103, 23756, 10907, 5916, 14392, 2131, 11, 4510, 104, 19105, 16337, 120, 1546, 21446, 50218, 32399, 11, 25236, 5975, 44866, 37946, 5708, 15718, 4, 29497, 1543, 8377, 19497, 27769, 11, 14139, 51865], "temperature": 0, "avg_logprob": -0.08397591807854869, "compression_ratio": 1.3431151241534989, "no_speech_prob": 1.7579502090137034e-11}, {"id": 2, "seek": 5932, "start": 59.32, "end": 73.32, "text": "100萬Token的綜合單價只要六分錢,1億Token只要六塊錢。前幾天7月31號,V4Flash正式版本一發,能力大幅度增強。光看跑分已經超過了,參數量比它大好幾倍的JRM5.2。又便宜,然後又強。關鍵的它還快。", "tokens": [50365, 6879, 14099, 51, 8406, 1546, 9261, 250, 14245, 24227, 45441, 14003, 4275, 30566, 6627, 29483, 11, 16, 25459, 51, 8406, 14003, 4275, 30566, 26268, 29483, 1543, 8945, 23575, 6135, 22, 6939, 12967, 18616, 11, 53, 19, 25680, 1299, 15789, 27584, 42096, 8802, 2257, 14637, 11, 8225, 13486, 3582, 3509, 227, 13127, 24228, 252, 22752, 1543, 20690, 4200, 32585, 6627, 25338, 19869, 8816, 2289, 11, 47375, 30622, 26748, 11706, 11284, 3582, 2131, 23575, 35477, 1546, 41, 49, 44, 20, 13, 17, 1543, 17047, 27364, 2415, 250, 11, 10213, 17047, 22752, 1543, 14899, 41668, 113, 1546, 11284, 7824, 10251, 1543, 51065], "temperature": 0, "avg_logprob": -0.17910497328814337, "compression_ratio": 1.0635593220338984, "no_speech_prob": 2.2023272094884305e-11}, {"id": 3, "seek": 7332, "start": 73.32, "end": 93.32, "text": "關鍵的它還快,土字速度大概在每秒100個Token以上,甩開其他大模型一大截。所以跑那些agent任務的時候特別絲滑,便宜,能力又強,速度又快,三樣都湊起來。可以說在某種程度上來說,打破了一個不可能的三角。結果就是API的調用量翻了好幾倍,官方沒公布具體的調用數據,但可以從它最大的客戶OpenCode上去推算。", "tokens": [50365, 14899, 41668, 113, 1546, 11284, 7824, 10251, 11, 45506, 22381, 31217, 13127, 32044, 3581, 23664, 20956, 6879, 3338, 51, 8406, 29497, 11, 3526, 102, 8949, 9572, 5000, 3582, 41908, 39823, 2257, 3582, 1486, 103, 1543, 7239, 32585, 4184, 13824, 559, 317, 26443, 39517, 20643, 38446, 6948, 110, 15868, 239, 11, 27364, 2415, 250, 11, 8225, 13486, 17047, 22752, 11, 31217, 13127, 17047, 10251, 11, 10960, 6180, 7182, 33744, 232, 21670, 1543, 6723, 4622, 3581, 17238, 238, 16516, 29649, 13127, 5708, 36979, 11, 12467, 39560, 2289, 8990, 1960, 16657, 1546, 10960, 29389, 1543, 35181, 5620, 4715, 40, 1546, 32943, 9254, 26748, 42716, 2289, 2131, 23575, 35477, 11, 31929, 9249, 4913, 13545, 34688, 39806, 23987, 1546, 32943, 9254, 30622, 36841, 11, 8395, 6723, 21068, 11284, 8661, 39156, 32316, 1486, 114, 45569, 34, 1429, 5708, 6734, 33597, 19497, 1543, 51365], "temperature": 0, "avg_logprob": -0.15367189134870257, "compression_ratio": 1.1928783382789319, "no_speech_prob": 1.8638830062700507e-11}, {"id": 4, "seek": 9332, "start": 93.32, "end": 123.32, "text": "OpenCode不光是個agent工具,它還提供這種大模型的調用的服務,裡面的DeepSeek就是官方提供的。套餐會有一些折扣,所以比DeepSeek官方去安量收費要便宜一點。而且它又是個開源的項目,所以它不限制去接什麼其他的工具。所以很多人,包括我在內,都從OpenCode裡面去使用DeepSeek。OpenCode裡面提供免費的V4Flash,付費套餐Go裡面也有收費版。我自己訂了這個套餐,實際用下來,免費版跟收費版其實沒有太大差別,只是免費版它有調用次數的限制。然後接著我們來看具體的數字。OpenCode的工具,", "tokens": [50365, 45569, 34, 1429, 1960, 20690, 1541, 3338, 559, 317, 23323, 39806, 11, 11284, 7824, 20949, 3254, 249, 33005, 3582, 41908, 39823, 1546, 32943, 9254, 1546, 27408, 39517, 11, 32399, 1546, 11089, 595, 10637, 916, 5620, 31929, 9249, 20949, 3254, 249, 1546, 1543, 1881, 245, 22217, 238, 6236, 32241, 13824, 7235, 246, 3416, 96, 11, 7239, 11706, 11089, 595, 10637, 916, 31929, 9249, 6734, 16206, 26748, 18681, 50071, 4275, 27364, 2415, 250, 19202, 1543, 22942, 11284, 17047, 1541, 3338, 8949, 47402, 1546, 8313, 227, 11386, 11, 7239, 11284, 1960, 43446, 25491, 6734, 14468, 7598, 9572, 31309, 23323, 39806, 1543, 7239, 20778, 4035, 11, 41828, 40528, 28472, 11, 7182, 21068, 45569, 34, 1429, 32399, 6734, 22982, 9254, 11089, 595, 10637, 916, 1543, 45569, 34, 1429, 32399, 20949, 3254, 249, 2347, 235, 50071, 1546, 53, 19, 25680, 1299, 11, 41469, 50071, 1881, 245, 22217, 238, 12104, 32399, 6404, 2412, 18681, 50071, 42096, 1543, 1654, 17645, 28320, 2289, 6287, 1881, 245, 22217, 238, 11, 10376, 34837, 9254, 27769, 11, 2347, 235, 50071, 42096, 9678, 18681, 50071, 42096, 14139, 6963, 9455, 3582, 21679, 16158, 11, 36859, 2347, 235, 50071, 42096, 11284, 2412, 32943, 9254, 9487, 30622, 1546, 43446, 25491, 1543, 10213, 14468, 19382, 5884, 3763, 4200, 39806, 23987, 1546, 30622, 22381, 1543, 45569, 34, 1429, 1546, 23323, 39806, 11], "temperature": 0, "avg_logprob": -0.1147877816800718, "compression_ratio": 1.4444444444444444, "no_speech_prob": 1.671042818007784e-11}, {"id": 5, "seek": 12332, "start": 123.32, "end": 153.29999999999998, "text": "官方說,8月1日,V4Flash發布的第二天,免費版燒了5T的Token,收費版燒了3T的Token,第二天就是8T。這還只是開始,OpenCode有一個實時的數據頁面,收費Token的日消耗量。8月5日已經漲到了6.3T,是Flash正式版發布前的4倍。如果我們再去按照免費跟收費版的比例來推算一下,免費部分一天還要再燒10.5T左右的Token,加起來一天大概要燒17T左右的Token。17T是個什麼概念?就是OpenRoot,我們知道它是全球最大的模型的主軟,", "tokens": [50365, 31929, 9249, 4622, 11, 23, 6939, 16, 6890, 11, 53, 19, 25680, 1299, 14637, 34688, 1546, 19693, 6135, 11, 2347, 235, 50071, 42096, 24184, 240, 2289, 20, 51, 1546, 51, 8406, 11, 18681, 50071, 42096, 24184, 240, 2289, 18, 51, 1546, 51, 8406, 11, 19693, 6135, 5620, 23, 51, 1543, 2664, 7824, 36859, 21017, 11, 45569, 34, 1429, 2412, 8990, 10376, 6611, 1546, 30622, 36841, 8313, 223, 8833, 11, 18681, 50071, 51, 8406, 1546, 6890, 28837, 4450, 245, 26748, 1543, 23, 6939, 20, 6890, 25338, 14065, 110, 21381, 21, 13, 18, 51, 11, 1541, 25680, 1299, 15789, 27584, 42096, 14637, 34688, 8945, 1546, 19, 35477, 1543, 13119, 5884, 8623, 6734, 26613, 32150, 2347, 235, 50071, 9678, 18681, 50071, 42096, 1546, 11706, 17797, 3763, 33597, 19497, 8861, 11, 2347, 235, 50071, 32174, 2257, 6135, 7824, 4275, 8623, 24184, 240, 3279, 13, 20, 51, 29457, 1546, 51, 8406, 11, 9990, 21670, 2257, 6135, 32044, 4275, 24184, 240, 7773, 51, 29457, 1546, 51, 8406, 1543, 7773, 51, 1541, 3338, 7598, 26181, 33679, 30, 5620, 45569, 49, 6259, 11, 5884, 7758, 11284, 1541, 11319, 28533, 8661, 39156, 41908, 39823, 1546, 13557, 14454, 253, 11, 51864], "temperature": 0, "avg_logprob": -0.10840900203724599, "compression_ratio": 1.3489583333333333, "no_speech_prob": 1.5218291904428582e-11}, {"id": 6, "seek": 15332, "start": 153.32, "end": 182.82, "text": "基本上沒有質疑,幾百個大模型,800萬的用戶,全平台加起來一天也就3T多的Token。OpenCode在DeepSeek一個模型上就要燒的量,是整個OpenRooter幾百個模型用量的總和的5倍。所以我們來推測一下,官方沒有說漲價的原因,但我認為最有可能的解釋就是,算力真的不太夠了。於是Flash變強之後,吸引來的是Agent的重度用戶,工具一接上之後,Token就是沉吊的燒起來了。光是OpenCode這一個客戶一天就能干到17T,用量一周直接漲了4倍。", "tokens": [50365, 37946, 5708, 6963, 43450, 18140, 239, 11, 23575, 31906, 3338, 3582, 41908, 39823, 11, 14423, 14099, 1546, 9254, 1486, 114, 11, 11319, 16716, 15433, 9990, 21670, 2257, 6135, 6404, 3111, 18, 51, 6392, 1546, 51, 8406, 1543, 45569, 34, 1429, 3581, 11089, 595, 10637, 916, 8990, 41908, 39823, 5708, 3111, 4275, 24184, 240, 1546, 26748, 11, 1541, 27662, 3338, 45569, 49, 6259, 260, 23575, 31906, 3338, 41908, 39823, 9254, 26748, 1546, 26575, 12565, 1546, 20, 35477, 1543, 7239, 5884, 3763, 33597, 9592, 105, 8861, 11, 31929, 9249, 6963, 4622, 14065, 110, 45441, 1546, 42577, 11, 8395, 1654, 39450, 8661, 2412, 16657, 1546, 17278, 5873, 233, 5620, 11, 19497, 13486, 8034, 1960, 9455, 31649, 2289, 1543, 19488, 1541, 25680, 1299, 26327, 22752, 26362, 11, 46431, 41301, 3763, 24620, 32, 6930, 1546, 12624, 13127, 9254, 1486, 114, 11, 23323, 39806, 2257, 14468, 5708, 26362, 11, 51, 8406, 5620, 3308, 231, 2392, 232, 1546, 24184, 240, 21670, 2289, 1543, 20690, 1541, 45569, 34, 1429, 2664, 8990, 32316, 1486, 114, 2257, 6135, 3111, 8225, 26111, 4511, 7773, 51, 11, 9254, 26748, 2257, 37390, 43297, 14065, 110, 2289, 19, 35477, 1543, 51840], "temperature": 0, "avg_logprob": -0.13111423693205182, "compression_ratio": 1.3325062034739454, "no_speech_prob": 1.440752205039697e-11}, {"id": 7, "seek": 18282, "start": 182.82, "end": 194.82, "text": "但是背後這個卡這個算力不會一周之內就多出4倍,能立刻的去見效。所以只能拿價格去來做暫時的調節。好了,接下來趕緊跟大家來分享一下快訊。然後,今天視頻就到這裡,我是Dizon黑心李少,我們下次見。", "tokens": [50365, 11189, 46329, 5661, 6287, 32681, 6287, 19497, 13486, 21121, 2257, 37390, 9574, 28472, 3111, 6392, 7781, 19, 35477, 11, 8225, 24409, 45500, 1546, 6734, 10470, 43076, 1543, 7239, 14003, 8225, 24351, 45441, 30921, 6734, 3763, 10907, 23826, 104, 6611, 1546, 32943, 27694, 1543, 12621, 11, 40012, 9759, 243, 30172, 47349, 3763, 30855, 8861, 10251, 5396, 232, 1543, 10213, 11, 12074, 27333, 29940, 45918, 18771, 11, 15914, 35, 590, 266, 32141, 7945, 31206, 15686, 11, 5884, 35829, 10470, 1543, 50965], "temperature": 0, "avg_logprob": -0.3137282859988329, "compression_ratio": 1.146551724137931, "no_speech_prob": 1.6435755534338625e-11}, {"id": 8, "seek": 19482, "start": 194.82, "end": 196.82, "text": "謝謝。", "tokens": [50365, 11003, 1543, 50465], "temperature": 0, "avg_logprob": -0.9122788429260253, "compression_ratio": 0.5, "no_speech_prob": 1.8138837654113615e-10}], "language": "zh"}