Ranglisten
Rangliste nach Session-Kosten letzte 24 Stunden
Kosten einer Coding-Session mit 2 Mio. Eingabe- und 40.000 Ausgabe-Token (¥). USD-Preise werden zum Folkbench-Referenzkurs von 1 USD = 6.7698 CNY umgerechnet. Niedriger ist besser.
DatenRouten: 145 · Relays: 11Synchronisiert 13.11.2026, 05:09:34, alle 15 Minuten aktualisiert
Modell: 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
| Rang | Modell @ Relay | Session-Kosten | Stichproben | Verfügbarkeit | Erstes Token | Datensicherheit |
|---|---|---|---|---|---|---|
| 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 |
Häufige Fragen
Wie werden die Session-Kosten berechnet?
Kosten einer Coding-Session mit 2 Mio. Eingabe- und 40.000 Ausgabe-Token (¥). USD-Preise werden zum Folkbench-Referenzkurs von 1 USD = 6.7698 CNY umgerechnet. Niedriger ist besser.
Warum taucht dasselbe Relay mehrmals auf?
Jede Zeile ist eine Route „Modell @ Relay“. Verschiedene Modelle und Gruppen desselben Relays können sich sehr unterschiedlich verhalten, deshalb werden sie getrennt eingestuft.