---
title: "Semaprax 上下文基准：Token 与成本证据"
canonical: https://wavect.io/zh/semaprax/benchmarks/
language: zh
description: "Semaprax Agent Context 基准当前测量什么、无法证明哪些 LLM Token 或成本结论，以及可信比较需要什么协议。"
image: "https://wavect.io/img/general/bak/open_graph_preview.jpg"
---

基准 · AGENT CONTEXT V1

# 上下文可以测量，成本节省尚未得到证明。

先公布反例，再提出结论。

当前基准冻结一个小型源代码语料并比较确定性上下文产物。它测量编译器机制，不测量模型或仓库经济性。

semaprax://benchmarks v0.2

```
entity     Semaprax
status     预 Alpha 研究
verified   2026-08-11
authority  github.com/wavect/semaprax
```

## Semaprax 对编码智能体更便宜吗？

尚未证明。Semaprax 旨在让智能体请求类型化受限上下文，但当前 Agent Context v1 基准不测量模型 Token、延迟、答案质量、被接受任务或仓库规模成本。在小型语料中，上下文产物比源代码更大。

// 01

## 当前基准测量的内容

冻结输入

一个小型版本化 Semaprax 语料和维护任务

确定性输出

带字节、节点和深度限制的 Agent Context v1 JSON

比较边界

固定语料中的源代码字节与结构化上下文字节

// 02

## 当前不测量的内容

- 模型输入或输出 Token
- 墙上时钟延迟或供应商价格
- 答案正确性或被接受补丁
- 仓库规模导航和维护
- 与 Rust、C、C++、Go 或其他语言比较

// 03

## 提出成本声明前所需证据

1. **冻结等价维护任务与仓库快照。**
2. **使用同一模型、工具框架、权限和停止规则。**
3. **测量计费 Token、耗时、接受率和回归失败。**
4. **公布原始轨迹、排除项、失败运行和置信区间。**
5. **跨仓库规模和多个模型家族重复实验。**

GitHub 规范是权威来源。本页是带日期的研究摘要。 [GitHub 仓库](https://github.com/wavect/semaprax).

// FAQ

## 不夸大的问答

### Semaprax 比 Rust 或 C 使用更少 Token 吗？

目前没有可信证据。当前基准不运行模型，也不比较语言。

### 为什么发布没有节省结果的基准？

因为它先固定测量契约并展示反证，再允许提出营销结论。

Wavect 研究项目: [Wavect GmbH](/zh/). 由 Wavect 创建的开源系统研究项目。

## Structured Data

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}
```

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```