LLM Abacus
Compare up-to-date pricing for 40+ LLMs (incl. Chinese) & estimate cost from tokens. EN/zh.
| Endpoint | https://llmabacus.com/api/mcp (streamable-http) |
|---|---|
| Registry version | 1.0.0 |
| Now | 2 tools · grade A (97) · pin ts_a59ec05b3ea8aaca8bf59b796d526305 · protocol 2025-06-18 |
| First / last listed | 2026-10-26 04:10 UTC / 2026-10-26 04:10 UTC |
| Grade over time | 2026-10-26: A (97), 2 tools |
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Tools: query_model_price estimate_cost
query_model_price | 查询指定大模型（如 GPT-5, Claude, DeepSeek）的最新 API 输入、输出和缓存输入单价（单位：每百万 tokens）。 params: model* |
estimate_cost | 估算一段文本或指定 token 数在某个大模型上的**输入侧**调用成本，以人民币 ¥ 计价。text_or_tokens 支持两种模式：传自然语言文本时自动估算 token 数（中文按字符、英文按词分别计），传纯数字字符串时直接作为已知 token 数使用。返回：所用估算方法、token 数、按原价计的输入成本；若该模型提供缓存输入价，另给出缓存命中成本、相对原价的节省百分比与倍数差价；末尾附该模型的输入 / 输出 / 缓存输入单价（每百万 tokens）。⚠️ 本工具只计算输入成本，不含输出 token 费用——要估算完整往返成本，需另取输出单价自行相加。 params: model*, text_or_tokens*, time_band |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.