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序号 | 模型 | 分组 | 单位 | 输入价格 | 输出价格 | 缓存读取价格 | 缓存写入价格 |
|---|---|---|---|---|---|---|---|
| 1 | gpt-5.6-luna | STANDARD-0.5x | CNY / 1M tokens | 0.2 | 3 | 0.1 | 0.2 |
| 2 | gpt-5.6-luna | GPT-PLUS-0.15x | CNY / 1M tokens | 0.06 | 0.9 | 0.03 | 0.06 |
| 3 | gpt-5.6-luna | GPT-PRO-0.3x | CNY / 1M tokens | 0.12 | 1.8 | 0.06 | 0.12 |
| 4 | gpt-5.6-luna | GPT-INTRO-0.8X | CNY / 1M tokens | 0.32 | 4.8 | 0.16 | 0.32 |
| 5 | gpt-5.6-sol | STANDARD-0.5x | CNY / 1M tokens | 2.5 | 15 | 0.4 | 1 |
| 6 | gpt-5.6-sol | GPT-PLUS-0.15x | CNY / 1M tokens | 0.75 | 4.5 | 0.12 | 0.3 |
| 7 | gpt-5.6-sol | GPT-PRO-0.3x | CNY / 1M tokens | 1.5 | 9 | 0.24 | 0.6 |
| 8 | gpt-5.6-sol | GPT-INTRO-0.8X | CNY / 1M tokens | 4 | 24 | 0.64 | 1.6 |
| 9 | gpt-5.6-terra | STANDARD-0.5x | CNY / 1M tokens | 1 | 6 | 0.4 | 1.25 |
| 10 | gpt-5.6-terra | GPT-PLUS-0.15x | CNY / 1M tokens | 0.3 | 1.8 | 0.12 | 0.375 |
| 11 | gpt-5.6-terra | GPT-PRO-0.3x | CNY / 1M tokens | 0.6 | 3.6 | 0.24 | 0.75 |
| 12 | gpt-5.6-terra | GPT-INTRO-0.8X | CNY / 1M tokens | 1.6 | 9.6 | 0.64 | 2 |
| 13 | gpt-6.1-sol | STANDARD-0.5x | CNY / 1M tokens | 2 | 10 | 0.35 | 0.5 |
| 14 | gpt-6.1-sol | GPT-PLUS-0.15x | CNY / 1M tokens | 0.6 | 3 | 0.105 | 0.15 |
| 15 | gpt-6.1-sol | GPT-PRO-0.3x | CNY / 1M tokens | 1.2 | 6 | 0.21 | 0.3 |
| 16 | gpt-6.1-sol | GPT-INTRO-0.8X | CNY / 1M tokens | 3.2 | 16 | 0.56 | 0.8 |
| 17 | gpt-6.1-terra | GPT-PRO-0.3x | CNY / 1M tokens | 0.6 | 3 | 0.105 | 0.15 |
| 18 | gpt-6.1-terra | GPT-INTRO-0.8X | CNY / 1M tokens | 1.6 | 8 | 0.28 | 0.4 |
| 19 | gpt-6-astra | STANDARD-0.5x | CNY / 1M tokens | 5 | 20 | 0.8 | 2.5 |
| 20 | gpt-6-astra | GPT-PLUS-0.15x | CNY / 1M tokens | 1.5 | 6 | 0.24 | 0.75 |
| 21 | gpt-6-astra | GPT-PRO-0.3x | CNY / 1M tokens | 3 | 12 | 0.48 | 1.5 |
| 22 | gpt-6-astra | GPT-INTRO-0.8X | CNY / 1M tokens | 8 | 32 | 1.28 | 4 |
| 23 | gpt-6-luna | STANDARD-0.5x | CNY / 1M tokens | 0.16 | 3 | 0.1 | 0.2 |
| 24 | gpt-6-luna | GPT-PLUS-0.15x | CNY / 1M tokens | 0.048 | 0.9 | 0.03 | 0.06 |
| 25 | gpt-6-luna | GPT-PRO-0.3x | CNY / 1M tokens | 0.096 | 1.8 | 0.06 | 0.12 |
| 26 | gpt-6-luna | GPT-INTRO-0.8X | CNY / 1M tokens | 0.256 | 4.8 | 0.16 | 0.32 |
| 27 | gpt-6-sol | STANDARD-0.5x | CNY / 1M tokens | 2 | 9 | 0.2 | 0.8 |
| 28 | gpt-6-sol | GPT-PLUS-0.15x | CNY / 1M tokens | 0.6 | 2.7 | 0.06 | 0.24 |
| 29 | gpt-6-sol | GPT-PRO-0.3x | CNY / 1M tokens | 1.2 | 5.4 | 0.12 | 0.48 |
| 30 | gpt-6-sol | GPT-INTRO-0.8X | CNY / 1M tokens | 3.2 | 14.4 | 0.32 | 1.28 |
| 31 | gpt-image-2 | IMAGE | CNY / 次 | 0.1 | - | - | - |
| 32 | gpt-image-2.5 | IMAGE | CNY / 次 | 0.1 | - | - | - |
| 33 | claude-fable-5 | CLAUDE-KIRO-0.55x | CNY / 1M tokens | 5.5 | 27.5 | 0.1375 | 6.875 |
| 34 | claude-fable-5 | CLAUDE-MAX-1.2x | CNY / 1M tokens | 12 | 60 | 0.3 | 15 |
| 35 | claude-fable-5-1 | CLAUDE-KIRO-0.55x | CNY / 1M tokens | 5.5 | 27.5 | 0.1375 | 6.875 |
| 36 | claude-fable-5-1 | CLAUDE-MAX-1.2x | CNY / 1M tokens | 12 | 60 | 0.3 | 15 |
| 37 | claude-opus-4-6 | CLAUDE-KIRO-0.55x | CNY / 1M tokens | 2.75 | 13.75 | 0.275 | 3.4375 |
| 38 | claude-opus-4-6 | CLAUDE-MAX-1.2x | CNY / 1M tokens | 6 | 30 | 0.6 | 7.5 |
| 39 | claude-opus-4-7 | CLAUDE-KIRO-0.55x | CNY / 1M tokens | 2.75 | 13.75 | 0.275 | 3.4375 |
| 40 | claude-opus-4-7 | CLAUDE-MAX-1.2x | CNY / 1M tokens | 6 | 30 | 0.6 | 7.5 |
| 41 | claude-opus-4-8 | CLAUDE-KIRO-0.55x | CNY / 1M tokens | 2.75 | 13.75 | 0.275 | 3.4375 |
| 42 | claude-opus-4-8 | CLAUDE-MAX-1.2x | CNY / 1M tokens | 6 | 30 | 0.6 | 7.5 |
| 43 | claude-opus-5 | CLAUDE-KIRO-0.55x | CNY / 1M tokens | 2.75 | 13.75 | 0.275 | 3.4375 |
| 44 | claude-opus-5 | CLAUDE-MAX-1.2x | CNY / 1M tokens | 6 | 30 | 0.6 | 7.5 |
| 45 | claude-opus-5-5 | CLAUDE-KIRO-0.55x | CNY / 1M tokens | 2.2 | 11 | 0.11 | 2.75 |
| 46 | claude-opus-5-5 | CLAUDE-MAX-1.2x | CNY / 1M tokens | 4.8 | 24 | 0.24 | 6 |
| 47 | claude-sonnet-4-5 | CLAUDE-KIRO-0.55x | CNY / 1M tokens | 1.65 | 8.25 | 0.165 | 2.0625 |
| 48 | claude-sonnet-4-5 | CLAUDE-MAX-1.2x | CNY / 1M tokens | 3.6 | 18 | 0.36 | 4.5 |
| 49 | claude-sonnet-4-6 | CLAUDE-KIRO-0.55x | CNY / 1M tokens | 1.65 | 8.25 | 0.165 | 2.0625 |
| 50 | claude-sonnet-4-6 | CLAUDE-MAX-1.2x | CNY / 1M tokens | 3.6 | 18 | 0.36 | 4.5 |
| 51 | claude-sonnet-5 | CLAUDE-KIRO-0.55x | CNY / 1M tokens | 1.1 | 5.5 | 0.11 | 1.375 |
| 52 | claude-sonnet-5 | CLAUDE-MAX-1.2x | CNY / 1M tokens | 2.4 | 12 | 0.24 | 3 |
| 53 | claude-sonnet-5-5 | CLAUDE-KIRO-0.55x | CNY / 1M tokens | 1.1 | 5.5 | 0.11 | 1.375 |
| 54 | claude-sonnet-5-5 | CLAUDE-MAX-1.2x | CNY / 1M tokens | 2.4 | 12 | 0.24 | 3 |
| 55 | grok-4.5 | STANDARD-0.5x | CNY / 1M tokens | 1 | 3 | 0.25 | - |
| 56 | grok-4.5 | GROK-0.4x | CNY / 1M tokens | 0.8 | 2.4 | 0.2 | - |
| 57 | grok-4.6 | STANDARD-0.5x | CNY / 1M tokens | 1 | 3 | 0.25 | 0.5 |
| 58 | grok-4.6 | GROK-0.4x | CNY / 1M tokens | 0.8 | 2.4 | 0.2 | 0.4 |
| 59 | grok-4.7 | STANDARD-0.5x | CNY / 1M tokens | 1 | 3 | 0.25 | 0.5 |
| 60 | grok-4.7 | GROK-0.4x | CNY / 1M tokens | 0.8 | 2.4 | 0.2 | 0.4 |
| 61 | grok-imagine-image-2.0 | GROK-0.4x | CNY / 次 | 0.032 | - | - | - |
| 62 | grok-imagine-image-2.0 | IMAGE | CNY / 次 | 0.1 | - | - | - |
| 63 | grok-imagine-image-quality | GROK-0.4x | CNY / 次 | 0.028 | - | - | - |
| 64 | grok-imagine-image-quality | IMAGE | CNY / 次 | 0.1 | - | - | - |
| 65 | deepseek-v4.1-flash | STANDARD-0.5x | CNY / 1M tokens | 0.1675 | 0.435 | 0.04 | 0.05 |
| 66 | deepseek-v4-pro | STANDARD-0.5x | CNY / 1M tokens | 0.7175 | 1.935 | 0.9 | 0.4 |
| 67 | glm-5.2 | STANDARD-0.5x | CNY / 1M tokens | 0.9 | 7.5 | 0.5 | 0.9 |
| 68 | glm-5.3 | STANDARD-0.5x | CNY / 1M tokens | 1.5 | 10 | 0.3 | 1.5 |
| 69 | glm-5.3-flash | STANDARD-0.5x | CNY / 1M tokens | 0.5 | 1.5 | 0.1 | 0.025 |
| 70 | kimi-for-coding | STANDARD-0.5x | CNY / 1M tokens | 0.475 | 2 | 0.095 | 0.475 |
| 71 | kimi-k2.6 | STANDARD-0.5x | CNY / 1M tokens | 0.475 | 2 | 0.08 | 0.475 |
| 72 | kimi-k2.7 | STANDARD-0.5x | CNY / 1M tokens | 0.475 | 2 | 0.095 | 0.475 |
| 73 | kimi-k2.7-code | STANDARD-0.5x | CNY / 1M tokens | 0.475 | 2 | 0.095 | 0.475 |
| 74 | kimi-k3 | STANDARD-0.5x | CNY / 1M tokens | 1.5 | 15 | 0.75 | 1.5 |