工作階段成本排行 近 24 小時
每次程式開發工作階段依 200 萬輸入、4 萬輸出 Token 計算的成本（¥），美元報價以 1 美元 = 6.7698 人民幣換算（與 Folkbench 參考匯率一致）。越低越好。
資料145 條線路 · 11 家中轉站同步於 2026/11/13 05:09:34，每 15 分鐘更新
模型：Grok 4.6Grok 4.5GPT 6 SolGPT 6.1 SolGPT 5.6 TerraClaude Sonnet 5GPT 5.6 SolGPT 5.5Claude Opus 5.5GPT 6 AstraClaude Opus 5DeepSeek V4.1 FlashDeepSeek V4 FlashGrok 4.7Gemini 3.8 FlashGemini 3.7 FlashGemini 3.6 FlashGemini 3.5 FlashClaude Fable 5.1Claude Fable 5Gemini 3.1 Pro PreviewGLM 5.3DeepSeek V4 ProQwen 3.8 MaxKimi K3GPT 5.6 LunaDeepSeek V4 Pro 0813GPT-4o MiniGPT-4oClaude Haiku 4.5Gemini 4 ArgonGLM 5Claude Opus 4.8Claude Opus 4.6Claude Opus 4.7Claude Sonnet 4.6DeepSeek V4 Flash Vision ExpGemini 3 Flash Preview
| 排名 | 模型 @ 中轉站 | 工作階段成本 | 樣本 | 可用率 | 首 Token 延遲 | 資料安全 |
|---|---|---|---|---|---|---|
| 1 | ¥0.28 | 197 | 99.0% | 1.16 s | 4 | |
| 2 | ¥0.28 | 126 | 97.6% | 1.84 s | 4 | |
| 3 | ¥0.44 | 132 | 97.7% | 1.21 s | 4 | |
| 4 | ¥0.44 | 148 | 98.7% | 0.87 s | 4 | |
| 5 | ¥0.45 | 141 | 97.9% | 1.04 s | 4 | |
| 6 | ¥0.88 | 143 | 97.2% | 1.29 s | 4 | |
| 7 | ¥0.89 | 192 | 99.0% | 1.03 s | 4 | |
| 8 | ¥1.12 | 102 | 97.1% | 1.31 s | 4 | |
| 9 | ¥1.12 | 161 | 98.1% | 1.01 s | 4 | |
| 10 | ¥1.75 | 146 | 97.3% | 1.57 s | 4 | |
| 11 | ¥2.19 | 135 | 98.5% | 1.33 s | 4 | |
| 12 | ¥2.19 | 177 | 97.2% | 0.99 s | 4 | |
| 13 | ¥2.23 | 105 | 98.1% | 1.24 s | 4 | |
| 14 | ¥2.23 | 164 | 98.2% | 1.82 s | 4 | |
| 15 | ¥2.38 | 138 | 98.5% | 1.56 s | 4 | |
| 16 | ¥2.59 | 217 | 98.2% | 1.31 s | 4 | |
| 17 | ¥2.59 | 145 | 97.2% | 1.72 s | 4 | |
| 18 | ¥3.10 | 176 | 98.3% | 5.11 s | 4 | |
| 19 | ¥3.10 | 197 | 98.5% | 6.17 s | 4 | |
| 20 | ¥3.10 | 215 | 97.2% | 5.20 s | 4 | |
| 21 | ¥3.29 | 139 | 98.6% | 1.40 s | 4 | |
| 22 | ¥3.29 | 130 | 98.5% | 1.32 s | 4 | |
| 23 | ¥3.29 | 146 | 98.6% | 1.79 s | 4 | |
| 24 | ¥3.35 | 103 | 98.1% | 1.78 s | 4 | |
| 25 | ¥4.38 | 170 | 98.2% | 1.34 s | 4 | |
| 26 | ¥4.38 | 104 | 98.1% | 1.32 s | 4 | |
| 27 | ¥4.46 | 110 | 98.2% | 0.91 s | 4 | |
| 28 | ¥5.95 | 134 | 97.8% | 1.84 s | 4 | |
| 29 | ¥5.95 | 184 | 97.8% | 1.01 s | 4 | |
| 30 | ¥7.30 | 130 | 97.7% | 1.77 s | 4 | |
| 31 | ¥8.56 | 197 | 98.5% | 0.96 s | 4 | |
| 32 | ¥9.20 | 172 | 97.7% | 1.58 s | 4 | |
| 33 | ¥11.4 | 199 | 99.0% | 1.35 s | 4 | |
| 34 | ¥14.9 | 111 | 97.3% | 0.85 s | 4 | |
| 35 | ¥18.3 | 195 | 99.0% | 1.21 s | 4 | |
| 36 | ¥20.4 | 147 | 98.0% | 1.06 s | 4 | |
| 37 | ¥23.0 | 166 | 97.6% | 1.44 s | 4 | |
| 38 | ¥28.6 | 198 | 98.0% | 1.16 s | 4 | |
| 39 | ¥36.5 | 153 | 98.7% | 0.93 s | 4 | |
| 40 | ¥37.2 | 138 | 97.8% | 1.34 s | 4 | |
| 41 | ¥37.2 | 118 | 97.5% | 0.93 s | 4 | |
| 42 | ¥46.0 | 146 | 98.6% | 1.77 s | 4 | |
| 43 | ¥0.027 | — | — | — | 3 | |
| 44 | ¥0.27 | 31 | 64.5% | 12.36 s | 3 | |
| 45 | ¥0.67 | 31 | 80.7% | 18.77 s | 3 | |
| 46 | ¥4.40 | 31 | 77.4% | 3.02 s | 3 | |
| 47 | ¥4.40 | — | — | — | 3 | |
| 48 | ¥11.0 | — | — | — | 3 | |
| 49 | ¥22.0 | — | — | — | 3 | |
| 50 | ¥0.32 | — | — | — | 0 | |
| 51 | ¥0.54 | — | — | — | 0 | |
| 52 | ¥0.62 | — | — | — | 0 | |
| 53 | ¥0.66 | 18 | 100.0% | 7.18 s | 0 | |
| 54 | ¥0.66 | — | — | — | 0 | |
| 55 | ¥0.79 | — | — | — | 0 | |
| 56 | ¥0.85 | — | — | — | 0 | |
| 57 | ¥0.90 | — | — | — | 0 | |
| 58 | ¥1.06 | — | — | — | 0 | |
| 59 | ¥1.12 | — | — | — | 0 | |
| 60 | ¥1.27 | 18 | 100.0% | 4.88 s | 0 | |
| 61 | ¥1.27 | 18 | 100.0% | 4.13 s | 0 | |
| 62 | ¥1.27 | 18 | 100.0% | 4.78 s | 0 | |
| 63 | ¥1.30 | 18 | 100.0% | 4.17 s | 0 | |
| 64 | ¥1.58 | — | — | — | 0 | |
| 65 | ¥1.76 | — | — | — | 0 | |
| 66 | ¥1.79 | — | — | — | 0 | |
| 67 | ¥1.98 | — | — | — | 0 | |
| 68 | ¥2.04 | 18 | 88.9% | 8.05 s | 0 | |
| 69 | ¥2.04 | 18 | 88.9% | 24.58 s | 0 | |
| 70 | ¥2.04 | 18 | 100.0% | 9.99 s | 0 | |
| 71 | ¥2.04 | 18 | 88.9% | 15.94 s | 0 | |
| 72 | ¥2.04 | — | — | — | 0 | |
| 73 | ¥2.04 | — | — | — | 0 | |
| 74 | ¥2.04 | — | — | — | 0 | |
| 75 | ¥2.04 | — | — | — | 0 | |
| 76 | ¥2.04 | — | — | — | 0 | |
| 77 | ¥2.04 | 18 | 88.9% | 5.53 s | 0 | |
| 78 | ¥2.04 | — | — | — | 0 | |
| 79 | ¥2.04 | 18 | 88.9% | 6.48 s | 0 | |
| 80 | ¥2.04 | 18 | 77.8% | 9.30 s | 0 | |
| 81 | ¥2.04 | 18 | 83.3% | 19.34 s | 0 | |
| 82 | ¥2.04 | 18 | 83.3% | 11.82 s | 0 | |
| 83 | ¥2.04 | 18 | 94.4% | 6.41 s | 0 | |
| 84 | ¥2.04 | — | — | — | 0 | |
| 85 | ¥2.04 | — | — | — | 0 | |
| 86 | ¥2.04 | — | — | — | 0 | |
| 87 | ¥2.04 | — | — | — | 0 | |
| 88 | ¥2.04 | — | — | — | 0 | |
| 89 | ¥2.04 | — | — | — | 0 | |
| 90 | ¥2.38 | 30 | 100.0% | 4.62 s | 0 | |
| 91 | ¥2.64 | — | — | — | 0 | |
| 92 | ¥2.80 | — | — | — | 0 | |
| 93 | ¥2.80 | — | — | — | 0 | |
| 94 | ¥3.08 | — | — | — | 0 | |
| 95 | ¥3.30 | 18 | 100.0% | 4.04 s | 0 | |
| 96 | ¥3.36 | — | — | — | 0 | |
| 97 | ¥3.36 | — | — | — | 0 | |
| 98 | ¥3.74 | — | — | — | 0 | |
| 99 | ¥3.92 | — | — | — | 0 | |
| 100 | ¥3.96 | — | — | — | 0 | |
| 101 | ¥4.40 | 18 | 100.0% | 3.97 s | 0 | |
| 102 | ¥4.40 | 18 | 100.0% | 2.88 s | 0 | |
| 103 | ¥4.40 | — | — | — | 0 | |
| 104 | ¥4.48 | 18 | 100.0% | 3.32 s | 0 | |
| 105 | ¥4.48 | 18 | 0.0% | — | 0 | |
| 106 | ¥4.77 | 30 | 60.0% | 2.38 s | 0 | |
| 107 | ¥4.95 | — | — | — | 0 | |
| 108 | ¥5.38 | — | — | — | 0 | |
| 109 | ¥5.50 | 0 | — | — | 0 | |
| 110 | ¥6.60 | — | — | — | 0 | |
| 111 | ¥6.60 | — | — | — | 0 | |
| 112 | ¥6.60 | — | — | — | 0 | |
| 113 | ¥7.62 | — | — | — | 0 | |
| 114 | ¥7.70 | 0 | — | — | 0 | |
| 115 | ¥7.70 | — | — | — | 0 | |
| 116 | ¥8.80 | 18 | 83.3% | 12.04 s | 0 | |
| 117 | ¥8.80 | — | — | — | 0 | |
| 118 | ¥9.35 | — | — | — | 0 | |
| 119 | ¥11.0 | 18 | 94.4% | 6.04 s | 0 | |
| 120 | ¥11.0 | — | — | — | 0 | |
| 121 | ¥11.0 | — | — | — | 0 | |
| 122 | ¥11.0 | — | — | — | 0 | |
| 123 | ¥11.9 | 30 | 93.3% | 8.16 s | 0 | |
| 124 | ¥12.0 | — | — | — | 0 | |
| 125 | ¥12.0 | — | — | — | 0 | |
| 126 | ¥13.4 | — | — | — | 0 | |
| 127 | ¥15.4 | 18 | 100.0% | 3.49 s | 0 | |
| 128 | ¥16.5 | — | — | — | 0 | |
| 129 | ¥18.7 | — | — | — | 0 | |
| 130 | ¥21.7 | — | — | — | 0 | |
| 131 | ¥24.1 | — | — | — | 0 | |
| 132 | ¥24.5 | — | — | — | 0 | |
| 133 | ¥31.0 | — | — | — | 0 | |
| 134 | ¥31.0 | — | — | — | 0 | |
| 135 | ¥31.0 | — | — | — | 0 | |
| 136 | ¥32.1 | — | — | — | 0 | |
| 137 | ¥32.7 | — | — | — | 0 | |
| 138 | ¥32.7 | — | — | — | 0 | |
| 139 | ¥33.0 | — | — | — | 0 | |
| 140 | ¥48.2 | — | — | — | 0 | |
| 141 | ¥64.2 | — | — | — | 0 | |
| 142 | ¥80.3 | — | — | — | 0 | |
| 143 | ¥81.8 | — | — | — | 0 | |
| 144 | ¥161 | 0 | — | — | 0 | |
| 145 | ¥161 | — | — | — | 0 |
常見問題
工作階段成本排行怎麼計算？
每次程式開發工作階段依 200 萬輸入、4 萬輸出 Token 計算的成本（¥），美元報價以 1 美元 = 6.7698 人民幣換算（與 Folkbench 參考匯率一致）。越低越好。
為什麼同一家中轉站出現好幾次？
每一列是一條「模型 @ 中轉站」線路。同一家中轉站的不同模型、不同群組表現可能差很多，所以分開排名。