按使用量付费，透明定价
ClawToken 价格 vs 上游官方 list price，对比可见折扣
| 模型 | 版本 | 官方输入 | 官方输出 | 我们的输入 | 我们的输出 |
|---|---|---|---|---|---|
| gpt-5.5-xhigh | v5.5 | $5.000 / M | $30.000 / M | $2.156 / M | $17.248 / M |
| openai/gpt-5.5 | v5.5 | $5.000 / M | $30.000 / M | $2.156 / M | $17.248 / M |
| gpt-5.4-xhigh | v5.4 | $2.500 / M | $15.000 / M | $1.470 / M | $11.760 / M |
| openai/gpt-5.4 | v5.4 | $2.500 / M | $15.000 / M | $1.470 / M | $11.760 / M |
| openai/gpt-5.4-mini | v5.4 | $0.750 / M | $4.500 / M | $0.294 / M | $2.352 / M |
| openai/gpt-5.3-codex | v5.3 | $1.750 / M | $14.000 / M | $0.382 / M | $3.058 / M |
| gpt-5.2-chat-latest | v5.2 | $5.000 / M | $30.000 / M | $1.470 / M | $11.760 / M |
| openai/gpt-5.2 | v5.2 | $3.000 / M | $24.000 / M | $1.470 / M | $11.760 / M |
| openai/gpt-5.2-chat | v5.2 | $3.000 / M | $24.000 / M | $1.470 / M | $11.760 / M |
| openai/gpt-5.2-codex | v5.2 | $1.200 / M | $9.600 / M | $0.588 / M | $4.704 / M |
| gpt-5.1 | v5.1 | $2.000 / M | $16.000 / M | $0.980 / M | $7.840 / M |
| gpt-5.1-codex | v5.1 | $1.200 / M | $9.600 / M | $0.588 / M | $4.704 / M |
| gpt-5.1-codex-max | v5.1 | $1.200 / M | $9.600 / M | $0.588 / M | $4.704 / M |
| openai/gpt-5.1 | v5.1 | $2.000 / M | $16.000 / M | $0.980 / M | $7.840 / M |
| openai/gpt-5.1-codex | v5.1 | $1.200 / M | $9.600 / M | $0.588 / M | $4.704 / M |
| openai/gpt-5.1-codex-max | v5.1 | $0.780 / M | $6.240 / M | $0.382 / M | $3.058 / M |
| openai/gpt-5 | v5.0 | $1.250 / M | $10.000 / M | $0.980 / M | $7.840 / M |
| openai/gpt-5-codex | v5.0 | $1.250 / M | $10.000 / M | $0.588 / M | $4.704 / M |
| openai/gpt-5-mini | v5.0 | $0.250 / M | $2.000 / M | $0.147 / M | $1.176 / M |
| openai/gpt-5-nano | v5.0 | $0.050 / M | $0.400 / M | $0.030 / M | $0.243 / M |
| openai/gpt-4.1 | v4.1 | $2.000 / M | $8.000 / M | $1.176 / M | $4.704 / M |
| openai/gpt-4.1-mini | v4.1 | $0.400 / M | $1.600 / M | $0.127 / M | $0.510 / M |
| openai/gpt-4.1-nano | v4.1 | $0.100 / M | $0.400 / M | $0.027 / M | $0.110 / M |
| openai/gpt-4o | v4.0 | $2.500 / M | $10.000 / M | $0.882 / M | $3.528 / M |
| openai/gpt-4o-mini | v4.0 | $0.150 / M | $0.600 / M | $0.073 / M | $0.294 / M |
| openai/o3-mini | v3.0 | $1.100 / M | $4.400 / M | $0.539 / M | $2.156 / M |
| openai/text-embedding-3-large | v3.0 | $0.130 / M | $0.130 / M | $0.064 / M | $0.064 / M |
| openai/text-embedding-3-small | v3.0 | $0.020 / M | $0.020 / M | $0.010 / M | $0.010 / M |
| gpt-image-2 | v2.0 | $0.2375 / 次 | - | $0.1164 / 次 | - |
| openai/text-embedding-ada-002 | v002.0 | $0.100 / M | $0.100 / M | $0.049 / M | $0.049 / M |
| gpt-image-1.5 | v1.5 | $0.1553 / 次 | - | $0.0761 / 次 | - |
| 模型 | 版本 | 官方输入 | 官方输出 | 我们的输入 | 我们的输出 |
|---|---|---|---|---|---|
| claude-opus-4-7 | v4.7 | $5.000 / M | $25.000 / M | $2.024 / M | $10.118 / M |
| claude-opus-4-6 | v4.6 | $5.000 / M | $25.000 / M | $2.024 / M | $10.118 / M |
| claude-sonnet-4-6 | v4.6 | $3.000 / M | $15.000 / M | $1.214 / M | $6.071 / M |
| claude-opus-4-6-thinking | v4.6 | $5.000 / M | $25.000 / M | $2.024 / M | $10.118 / M |
| claude-sonnet-4-6-thinking | v4.6 | $3.000 / M | $15.000 / M | $1.214 / M | $6.071 / M |
| claude-haiku-4-5-20251001 | v4.5 | $1.000 / M | $5.000 / M | $0.245 / M | $1.225 / M |
| claude-opus-4-5-20251101 | v4.5 | $5.000 / M | $25.000 / M | $2.024 / M | $10.118 / M |
| claude-sonnet-4-5-20250929 | v4.5 | $3.000 / M | $15.000 / M | $1.214 / M | $6.071 / M |
| claude-haiku-4-5-20251001-thinking | v4.5 | $1.000 / M | $5.000 / M | $0.245 / M | $1.225 / M |
| claude-opus-4-5-20251101-thinking | v4.5 | $5.000 / M | $25.000 / M | $2.024 / M | $10.118 / M |
| claude-sonnet-4-5-20250929-thinking | v4.5 | $3.000 / M | $15.000 / M | $1.214 / M | $6.071 / M |
| anthropic/claude-haiku-4.5 | v4.5 | $1.000 / M | $5.000 / M | $0.857 / M | $4.287 / M |
| anthropic/claude-haiku-4.5:thinking | v4.5 | $1.000 / M | $5.000 / M | $0.857 / M | $4.287 / M |
| anthropic/claude-opus | - | $5.000 / M | $25.000 / M | $3.126 / M | $15.631 / M |
| anthropic/claude-sonnet | - | $3.000 / M | $15.000 / M | $1.879 / M | $9.393 / M |
| 模型 | 版本 | 官方输入 | 官方输出 | 我们的输入 | 我们的输出 |
|---|---|---|---|---|---|
| gemini-3.1-flash-image-preview | v3.1 | $0.1249 / 次 | - | $0.0612 / 次 | - |
| gemini-3.1-flash-tts-preview | v3.1 | $2.500 / M | $43.750 / M | $1.225 / M | $21.438 / M |
| gemini-3.1-pro-preview-thinking | v3.1 | $2.000 / M | $12.000 / M | $0.980 / M | $5.880 / M |
| google/gemini-3.1-flash-lite | v3.1 | $0.250 / M | $1.500 / M | $0.216 / M | $1.380 / M |
| google/gemini-3.1-pro | v3.1 | $2.000 / M | $12.000 / M | $0.980 / M | $5.880 / M |
| gemini-3-pro-image-preview | v3.0 | $0.2375 / 次 | - | $0.1164 / 次 | - |
| gemini-3-pro-preview | v3.0 | $2.000 / M | $12.000 / M | $0.980 / M | $5.880 / M |
| google/gemini-3-flash | v3.0 | $0.500 / M | $3.000 / M | $0.216 / M | $1.725 / M |
| google/gemini-3-pro | v3.0 | $2.000 / M | $12.000 / M | $0.980 / M | $5.880 / M |
| google/gemini-3-pro-mcpmark | v3.0 | $2.000 / M | $12.000 / M | $0.980 / M | $5.880 / M |
| gemini-2.5-flash-image | v2.5 | $0.1000 / 次 | - | $0.0490 / 次 | - |
| google/gemini-2.5-flash | v2.5 | $0.300 / M | $2.500 / M | $0.157 / M | $1.568 / M |
| google/gemini-2.5-pro | v2.5 | $1.250 / M | $10.000 / M | $0.980 / M | $4.900 / M |
| 模型 | 版本 | 官方输入 | 官方输出 | 我们的输入 | 我们的输出 |
|---|---|---|---|---|---|
| deepseek/deepseek-v4-flash | v4.0 | $0.625 / M | $0.938 / M | $0.306 / M | $0.460 / M |
| deepseek/deepseek-v4-pro | v4.0 | $7.502 / M | $15.005 / M | $3.676 / M | $7.352 / M |
| deepseek-ocr | - | $1.720 / M | $8.204 / M | $0.843 / M | $4.020 / M |
| 模型 | 版本 | 官方输入 | 官方输出 | 我们的输入 | 我们的输出 |
|---|---|---|---|---|---|
| grok-4.20-beta-0309-non-reasoning | v4.20 | $5.000 / M | $25.000 / M | $2.450 / M | $12.250 / M |
| grok-4.20-beta-0309-reasoning | v4.20 | $5.000 / M | $25.000 / M | $2.450 / M | $12.250 / M |
| grok-4-1-fast-non-reasoning | v4.1 | $0.680 / M | $0.680 / M | $0.333 / M | $0.333 / M |
| 模型 | 版本 | 官方输入 | 官方输出 | 我们的输入 | 我们的输出 |
|---|---|---|---|---|---|
| qwen3.6-plus | v3.6 | $1.500 / M | $9.000 / M | $0.735 / M | $4.410 / M |
| qwen3.5-397b-a17b | v3.5 | $1.500 / M | $9.000 / M | $0.735 / M | $4.410 / M |
| qwen3.5-plus | v3.5 | $1.500 / M | $9.000 / M | $0.735 / M | $4.410 / M |
| 模型 | 版本 | 官方输入 | 官方输出 | 我们的输入 | 我们的输出 |
|---|
| 模型 | 版本 | 官方输入 | 官方输出 | 我们的输入 | 我们的输出 |
|---|---|---|---|---|---|
| minimax/minimax-m2.7 | v2.7 | $1.970 / M | $8.173 / M | $0.965 / M | $4.005 / M |
| minimax-m2.5 | v2.5 | $1.111 / M | $4.608 / M | $0.544 / M | $2.258 / M |
| minimax/minimax-m2.5 | v2.5 | $1.111 / M | $4.608 / M | $0.544 / M | $2.258 / M |
| minimax-m2.1 | v2.1 | $1.000 / M | $4.148 / M | $0.490 / M | $2.033 / M |
| minimax/minimax-m2.1 | v2.1 | $1.000 / M | $4.148 / M | $0.490 / M | $2.033 / M |
| 模型 | 版本 | 官方输入 | 官方输出 | 我们的输入 | 我们的输出 |
|---|---|---|---|---|---|
| glm-5.1 | v5.1 | $2.448 / M | $10.404 / M | $1.200 / M | $5.098 / M |
| glm-5 | v5.0 | $2.448 / M | $10.404 / M | $1.200 / M | $5.098 / M |
| glm-5-turbo | v5.0 | $2.448 / M | $10.404 / M | $1.200 / M | $5.098 / M |
| 模型 | 版本 | 官方输入 | 官方输出 | 我们的输入 | 我们的输出 |
|---|---|---|---|---|---|
| mimo-v2-omni | v2.0 | $2.000 / M | $6.000 / M | $0.980 / M | $2.940 / M |
| mimo-v2-pro | v2.0 | $4.200 / M | $12.600 / M | $2.058 / M | $6.174 / M |
| xiaomi/mimo-v2-flash | v2.0 | $0.420 / M | $1.260 / M | $0.206 / M | $0.617 / M |