TOKENPICO / 方法说明

TokenPico 如何比较 AI 成本与表现

开发版本 · 2026 年 10 月 24 日

在相同条件下比较

模型、服务商端点与报价是不同事实。初始公开目录来自 2026-10-24 的目录观察,并未认证生命周期、端点配置、量化、部署区域或当前可用性。

费用计算公式

月度 Token 费用 = 请求数 ×(未缓存输入 × 输入费率 + 缓存读取 × 读取费率 + 缓存写入 × 写入费率 + 输出 × 输出费率)。原始费率以十进制美元/Token 保存,展示时归一化为每百万 Token。Compare 与计算器共用十进制算法。

条件费率与缺失价格

未知费率不等于零。使用缓存分类但缺少对应费率时,不进行费用估算。在具体每请求阈值及 UTC 时段规则完成实现与核验前,条件目录费率不参与估算。初始数据集没有已核验的服务商报价,因此不提供最低价推荐。

计数准确性

浏览器在 Web Worker 中运行 gpt-tokenizer 的 o200k_base 编码。仅对该编码的文本计数精确;对尚未核验匹配分词器的模型,仅为代理估算。不包含 API 包装和多模态开销。Claude 始终标注为估算。输入总量上限为 1 MiB,这是初始保护措施,并非已经在所有设备验证的容量。

上下文需要预留空间

上下文规划器将各文本字段分别编码,与文件计数相加后,再预留输出空间。容量由用户选择,应对照具体端点限制核查。展示的 Token ID 对应实际运行的编码。

Choose capability before单价

Every model in API Compare shows its catalog-reported inputs, tool calling and structured-output capabilities next to price. These are interface requirements, not independently tested quality ratings. An absent catalog flag is unknown, not a measured failure. Image input means understanding images, not generating images.

Evaluation standards & original sources

Choose an evaluation that matches your task. The sources below are independent evaluation projects, not endorsements of TokenPico. These links explain the standards; they do not assert that every model in our catalog appears on each leaderboard.

Artificial Analysis Intelligence Index

General reasoning & knowledge

Composite of multiple evaluations. Compare the same index version and reasoning settings. Primarily English and text; it does not establish image, audio or multilingual quality.

Original methodology ↗ · Original results ↗

LiveBench

Reasoning, mathematics & instruction following

Uses objective ground-truth answers across multiple tasks. Check the benchmark release, category, model version and inference settings; releases are not interchangeable.

Original methodology ↗ · Original results ↗

LiveCodeBench

Code generation & problem solving

Evaluates code with execution tests and dated problem sets. Match the task, problem date range, sampling settings and pass@k; contest coding is not the same as maintaining an application.

Original methodology ↗ · Original results ↗

SWE-bench Verified

Software engineering agents

Reports the percentage of repository issues resolved. The model, agent harness, tools and budget together determine the result. Compare the same Verified subset and harness.

Original methodology ↗ · Original results ↗

How a score can enter this comparison

Require an exact model/version match, benchmark version or problem date range, reasoning settings, agent harness and tools where relevant, inference/token budget, score scale, result date, original source and permission to republish. Vendor-reported results and independent runs must be labeled separately. Never inherit a family score or mix different benchmark scales into an invented overall score.

Quality score: not imported means no authorized, configuration-matched result is attached here. It does not mean zero, poor quality or absent testing elsewhere. No quality sorting, price-per-score or best-model recommendations are enabled without comparable evidence.

Artificial Analysis provides a versioned methodology and a data API with attribution and licensing conditions. Public visibility alone is not republication permission. API attribution and licensing ↗

Source references checked October 25, 2026. Test releases and coverage can change; consult the original result before choosing a model. Validate shortlisted models on representative tasks of your own.

性能不能用一个分数概括

编程、推理与人类偏好是不同指标。本站不编造统一智能评分,未导入第三方评测数值、速度测量或流行度数据。未来的 OpenRouter 用量数据仅代表该平台及明确的 UTC 周期,不代表全球流行度。

订阅与媒体

订阅并非 API 报价。国家、渠道、税费及年付实际一次付款额需要分别提供结算证据。图像与视频价格需匹配生成规格并保留原始单位;待核验候选不参与排名。

返回比价 ↗