---
title: "Semaprax Kontext-Benchmark: Token- und Kostenevidenz"
canonical: https://wavect.io/de/semaprax/benchmarks/
language: de
description: "Was der Semaprax Agent-Context-Benchmark heute misst, was er zu LLM-Tokens und Kosten nicht belegt und welches Protokoll für belastbare Vergleiche nötig ist."
image: "https://wavect.io/img/general/bak/open_graph_preview.jpg"
---

BENCHMARK · AGENT CONTEXT V1

# Kontext ist messbar. Kostenvorteile sind noch nicht belegt.

Das Gegenbeispiel vor der Behauptung veröffentlichen.

Der aktuelle Benchmark fixiert einen kleinen Quellkorpus und vergleicht deterministische Kontextartefakte. Er misst Compilermechanik, nicht Modell- oder Repository-Ökonomie.

semaprax://benchmarks v0.2

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

## Ist Semaprax für Coding-Agenten günstiger?

Nicht belegt. Semaprax ist für typisierten, begrenzten Kontext ausgelegt, doch der aktuelle Agent-Context-v1-Benchmark misst weder Modelltokens, Latenz, Antwortqualität, akzeptierte Aufgaben noch Repository-Kosten. Im kleinen Korpus ist das Kontextartefakt größer als der Quelltext.

// 01

## Was der aktuelle Benchmark misst

Fixierter Input

Ein kleiner versionierter Semaprax-Korpus und eine Wartungsaufgabe

Deterministischer Output

Agent-Context-v1-JSON mit Byte-, Knoten- und Tiefengrenzen

Vergleichsgrenze

Quelltextbytes gegen strukturierte Kontextbytes im fixierten Korpus

// 02

## Was er nicht misst

- Modell-Input- oder Output-Tokens
- Laufzeit oder Providerpreis
- Antwortkorrektheit oder akzeptierte Patches
- Navigation und Wartung im Repository-Maßstab
- Vergleiche mit Rust, C, C++, Go oder anderen Sprachen

// 03

## Nötige Evidenz vor einer Kostenaussage

1. **Gleichwertige Wartungsaufgaben und Repository-Snapshots fixieren.**
2. **Dasselbe Modell, Harness, dieselben Rechte und Abbruchregeln verwenden.**
3. **Abgerechnete Tokens, Zeit, Akzeptanzrate und Regressionen messen.**
4. **Rohtraces, Ausschlüsse, Fehlversuche und Konfidenzintervalle veröffentlichen.**
5. **Über Repository-Größen und mehrere Modellfamilien wiederholen.**

Die GitHub-Spezifikationen sind die normative Quelle. Diese Seite ist eine datierte Forschungszusammenfassung. [GitHub-Repository](https://github.com/wavect/semaprax).

// FAQ

## Fragen, ohne Hype beantwortet

### Braucht Semaprax weniger Tokens als Rust oder C?

Dafür gibt es noch keine belastbare Evidenz. Der aktuelle Benchmark führt kein Modell aus und vergleicht keine Sprachen.

### Warum einen Benchmark ohne Einsparung veröffentlichen?

Weil er den Messvertrag fixiert und Gegenbelege vor einer Marketingaussage sichtbar macht.

Forschungsprojekt von Wavect: [Wavect GmbH](/de/). Von Wavect als Open-Source-Forschungsprojekt für Programmiersysteme entwickelt.

## Structured Data

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```

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}
```

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}
```