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Thingo 大模型聚合平台
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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 | qwen3.5-flash | 写作翻译代码数学全能,各场景表现均衡稳定 | CNY / 1M tokens | 0.2 | 2 | 0.02 | 0.25 |
| 2 | qwen3.5-flash | thingo-vip | CNY / 1M tokens | 0.2 | 2 | 0.02 | 0.25 |
| 3 | qwen3.5-flash | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 0.2 | 2 | 0.02 | 0.25 |
| 4 | qwen3.5-plus | 写作翻译代码数学全能,各场景表现均衡稳定 | CNY / 1M tokens | 0.8 | 4.8 | 0.08 | 1 |
| 5 | qwen3.5-plus | thingo-vip | CNY / 1M tokens | 0.8 | 4.8 | 0.08 | 1 |
| 6 | qwen3.5-plus | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 0.8 | 4.8 | 0.08 | 1 |
| 7 | qwen3.6-27b | 写作翻译代码数学全能,各场景表现均衡稳定 | CNY / 1M tokens | 3 | 18 | - | - |
| 8 | qwen3.6-27b | thingo-vip | CNY / 1M tokens | 3 | 18 | - | - |
| 9 | qwen3.6-27b | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 3 | 18 | - | - |
| 10 | qwen3.6-35b-a3b | 写作翻译代码数学全能,各场景表现均衡稳定 | CNY / 1M tokens | 1.8 | 10.8 | - | - |
| 11 | qwen3.6-35b-a3b | thingo-vip | CNY / 1M tokens | 1.8 | 10.8 | - | - |
| 12 | qwen3.6-35b-a3b | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 1.8 | 10.8 | - | - |
| 13 | qwen3.6-flash | 写作翻译代码数学全能,各场景表现均衡稳定 | CNY / 1M tokens | 1.2 | 7.2 | 0.12 | 1.5 |
| 14 | qwen3.6-flash | thingo-vip | CNY / 1M tokens | 1.2 | 7.2 | 0.12 | 1.5 |
| 15 | qwen3.6-flash | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 1.2 | 7.2 | 0.12 | 1.5 |
| 16 | qwen3.6-plus | 写作翻译代码数学全能,各场景表现均衡稳定 | CNY / 1M tokens | 2 | 12 | 0.2 | 2.5 |
| 17 | qwen3.6-plus | thingo-vip | CNY / 1M tokens | 2 | 12 | 0.2 | 2.5 |
| 18 | qwen3.6-plus | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 2 | 12 | 0.2 | 2.5 |
| 19 | qwen3.7-max | 写作翻译代码数学全能,各场景表现均衡稳定 | CNY / 1M tokens | 12 | 36 | 2.4 | 15 |
| 20 | qwen3.7-max | thingo-vip | CNY / 1M tokens | 12 | 36 | 2.4 | 15 |
| 21 | qwen3.7-max | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 12 | 36 | 2.4 | 15 |
| 22 | qwen3.7-plus | 写作翻译代码数学全能,各场景表现均衡稳定 | CNY / 1M tokens | 2 | 8 | 0.4 | 2.5 |
| 23 | qwen3.7-plus | thingo-vip | CNY / 1M tokens | 2 | 8 | 0.4 | 2.5 |
| 24 | qwen3.7-plus | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 2 | 8 | 0.4 | 2.5 |
| 25 | qwen3.7-text-embedding | 写作翻译代码数学全能,各场景表现均衡稳定 | CNY / 1M tokens | 0.5 | 0.5 | - | - |
| 26 | qwen3.7-text-embedding | thingo-vip | CNY / 1M tokens | 0.5 | 0.5 | - | - |
| 27 | qwen3.7-text-embedding | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 0.5 | 0.5 | - | - |
| 28 | qwen3.7-text-rerank | 写作翻译代码数学全能,各场景表现均衡稳定 | CNY / 1M tokens | 0.5 | 0.5 | - | - |
| 29 | qwen3.7-text-rerank | thingo-vip | CNY / 1M tokens | 0.5 | 0.5 | - | - |
| 30 | qwen3.7-text-rerank | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 0.5 | 0.5 | - | - |
| 31 | qwen3.8-flash | 写作翻译代码数学全能,各场景表现均衡稳定 | CNY / 1M tokens | 0.8 | 2.7 | 0.1 | 1.25 |
| 32 | qwen3.8-flash | thingo-vip | CNY / 1M tokens | 0.8 | 2.7 | 0.1 | 1.25 |
| 33 | qwen3.8-flash | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 0.8 | 2.7 | 0.1 | 1.25 |
| 34 | qwen3.8-max-0902 | 写作翻译代码数学全能,各场景表现均衡稳定 | CNY / 1M tokens | 12 | 36 | 1.5 | 15 |
| 35 | qwen3.8-max-0902 | thingo-vip | CNY / 1M tokens | 12 | 36 | 1.5 | 15 |
| 36 | qwen3.8-max-0902 | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 12 | 36 | 1.5 | 15 |
| 37 | qwen-doc-turbo | 写作翻译代码数学全能,各场景表现均衡稳定 | CNY / 1M tokens | 0.6 | 1 | 0.12 | 0.75 |
| 38 | qwen-doc-turbo | thingo-vip | CNY / 1M tokens | 0.6 | 1 | 0.12 | 0.75 |
| 39 | qwen-doc-turbo | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 0.6 | 1 | 0.12 | 0.75 |
| 40 | deepseek-flash | 数学推理与代码能力顶尖,复杂逻辑任务首选 | CNY / 1M tokens | 2 | 8 | 0.04 | - |
| 41 | deepseek-flash | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 2 | 8 | 0.04 | - |
| 42 | deepseek-v4-flash | 数学推理与代码能力顶尖,复杂逻辑任务首选 | CNY / 1M tokens | 2 | 8 | 0.04 | - |
| 43 | deepseek-v4-flash | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 2 | 8 | 0.04 | - |
| 44 | deepseek-v4-flash-vision-exp | 数学推理与代码能力顶尖,复杂逻辑任务首选 | CNY / 1M tokens | 2 | 8 | 0.04 | - |
| 45 | deepseek-v4-flash-vision-exp | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 2 | 8 | 0.04 | - |
| 46 | deepseek-v4-pro | 数学推理与代码能力顶尖,复杂逻辑任务首选 | CNY / 1M tokens | 9 | 27 | 0.3 | - |
| 47 | deepseek-v4-pro | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 9 | 27 | 0.3 | - |
| 48 | doubao-seed-2-0-code-preview-260215 | 文案创作与营销内容生成,表达风格更有网感 | CNY / 1M tokens | 3.2 | 16 | 0.64 | - |
| 49 | doubao-seed-2-0-code-preview-260215 | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 3.2 | 16 | 0.64 | - |
| 50 | doubao-seed-2-0-lite-260428 | 文案创作与营销内容生成,表达风格更有网感 | CNY / 1M tokens | 0.6 | 3.6 | 0.12 | - |
| 51 | doubao-seed-2-0-lite-260428 | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 0.6 | 3.6 | 0.12 | - |
| 52 | doubao-seed-2-0-mini-260428 | 文案创作与营销内容生成,表达风格更有网感 | CNY / 1M tokens | 0.2 | 2 | 0.04 | - |
| 53 | doubao-seed-2-0-mini-260428 | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 0.2 | 2 | 0.04 | - |
| 54 | doubao-seed-2-0-pro-260215 | 文案创作与营销内容生成,表达风格更有网感 | CNY / 1M tokens | 3.2 | 16 | 0.64 | - |
| 55 | doubao-seed-2-0-pro-260215 | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 3.2 | 16 | 0.64 | - |
| 56 | doubao-seed-2-1-lite-260915 | 文案创作与营销内容生成,表达风格更有网感 | CNY / 1M tokens | 0.8 | 2.7 | 0.16 | - |
| 57 | doubao-seed-2-1-lite-260915 | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 0.8 | 2.7 | 0.16 | - |
| 58 | doubao-seed-2-1-pro-260628 | 文案创作与营销内容生成,表达风格更有网感 | CNY / 1M tokens | 6 | 30 | 1.2 | - |
| 59 | doubao-seed-2-1-pro-260628 | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 6 | 30 | 1.2 | - |
| 60 | doubao-seed-2-1-pro-260915 | 文案创作与营销内容生成,表达风格更有网感 | CNY / 1M tokens | 6 | 30 | 1.2 | - |
| 61 | doubao-seed-2-1-pro-260915 | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 6 | 30 | 1.2 | - |
| 62 | doubao-seed-2-1-turbo-260628 | 文案创作与营销内容生成,表达风格更有网感 | CNY / 1M tokens | 3 | 15 | 0.6 | - |
| 63 | doubao-seed-2-1-turbo-260628 | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 3 | 15 | 0.6 | - |
| 64 | doubao-seedance-2-0-260128 | 2.0支持图文输入,生成运镜流畅、细节饱满、风格多元影视级视频 | CNY / 1M tokens | 16 | 26 | - | - |
| 65 | doubao-seedance-2-0-fast-260128 | 2.0支持图文输入,生成运镜流畅、细节饱满、风格多元影视级视频 | CNY / 1M tokens | 22 | 37 | - | - |
| 66 | doubao-seedance-2-0-mini-260615 | 2.0支持图文输入,生成运镜流畅、细节饱满、风格多元影视级视频 | CNY / 1M tokens | 14 | 23 | - | - |
| 67 | doubao-seedance-2-5-260628 | 2.0支持图文输入,生成运镜流畅、细节饱满、风格多元影视级视频 | CNY / 1M tokens | 42 | 70 | - | - |
| 68 | doubao-seedream-4-5-251128 | Seedream图像大模型,高清写实创意拉满,适配各类设计场景 | CNY / 次 | 0.25 | - | - | - |
| 69 | doubao-seedream-5-0-260128 | Seedream图像大模型,高清写实创意拉满,适配各类设计场景 | CNY / 次 | 0.22 | - | - | - |
| 70 | doubao-seedream-5-0-flash-260915 | Seedream图像大模型,高清写实创意拉满,适配各类设计场景 | CNY / 次 | 0.12 | - | - | - |
| 71 | glm-4.5-air | 中文理解精准,工具调用与自动化集成能力强 | CNY / 1M tokens | 0.8 | 6 | 0.16 | - |
| 72 | glm-4.5-air | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 0.8 | 6 | 0.16 | - |
| 73 | glm-4.7 | 中文理解精准,工具调用与自动化集成能力强 | CNY / 1M tokens | 3 | 14 | 0.6 | - |
| 74 | glm-4.7 | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 3 | 14 | 0.6 | - |
| 75 | glm-5 | 中文理解精准,工具调用与自动化集成能力强 | CNY / 1M tokens | 4 | 18 | 1 | - |
| 76 | glm-5 | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 4 | 18 | 1 | - |
| 77 | glm-5.1 | 中文理解精准,工具调用与自动化集成能力强 | CNY / 1M tokens | 6 | 24 | 1.3 | - |
| 78 | glm-5.1 | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 6 | 24 | 1.3 | - |
| 79 | glm-5.2 | 中文理解精准,工具调用与自动化集成能力强 | CNY / 1M tokens | 8 | 28 | 2 | - |
| 80 | glm-5.2 | 原厂资源,特价优惠,工具调用与自动化集成能力强 | CNY / 1M tokens | 5.6 | 19.6 | 1.4 | - |
| 81 | glm-5.2 | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 8 | 28 | 2 | - |
| 82 | glm-5.3 | 原厂资源保稳定,中文理解精准,工具调用与自动化集成能力强 | CNY / 1M tokens | 7.2 | 25.2 | 1.8 | - |
| 83 | glm-5.3 | 中文理解精准,工具调用与自动化集成能力强 | CNY / 1M tokens | 8 | 28 | 2 | - |
| 84 | glm-5.3 | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 8 | 28 | 2 | - |
| 85 | glm-5.3-flash | 中文理解精准,工具调用与自动化集成能力强 | CNY / 1M tokens | 0.8 | 2.8 | 0.23 | - |
| 86 | glm-5.3-flash | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 0.8 | 2.8 | 0.23 | - |
| 87 | glm-5.3-flashx | 中文理解精准,工具调用与自动化集成能力强 | CNY / 1M tokens | 2 | 7 | 0.57 | - |
| 88 | glm-5.3-flashx | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 2 | 7 | 0.57 | - |
| 89 | glm-5-turbo | 中文理解精准,工具调用与自动化集成能力强 | CNY / 1M tokens | 5 | 22 | 1.2 | - |
| 90 | glm-5-turbo | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 5 | 22 | 1.2 | - |
| 91 | hunyuan-role-latest | 对话自然流畅,生活化表达与轻量创作体验好 | CNY / 1M tokens | 2.4 | 9.6 | - | - |
| 92 | hunyuan-role-latest | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 2.4 | 9.6 | - | - |
| 93 | hy3 | 对话自然流畅,生活化表达与轻量创作体验好 | CNY / 1M tokens | 1 | 4 | 0.25 | - |
| 94 | hy3 | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 1 | 4 | 0.25 | - |
| 95 | hy4 | 对话自然流畅,生活化表达与轻量创作体验好 | CNY / 1M tokens | 6 | 18 | 0.3 | - |
| 96 | hy4 | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 6 | 18 | 0.3 | - |
| 97 | hy4-preview | 对话自然流畅,生活化表达与轻量创作体验好 | CNY / 1M tokens | 6 | 18 | 0.3 | - |
| 98 | hy4-preview | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 6 | 18 | 0.3 | - |
| 99 | kimi-k2.6 | 超长上下文,长文总结分析效率高 | CNY / 1M tokens | 6.5 | 27 | 1.1 | - |
| 100 | kimi-k2.6 | 国内主流模型,通用文本场景全覆盖 | CNY / 1M tokens | 6.5 | 27 | 1.1 | - |