Modellwerk
llm catalog
A comparison table of language models: input, output and cache prices per million tokens, context window, maximum output length, batch discount and a short note on what each is suited to. Filter by vendor, by a maximum price, by the context window you need, or by capability tag. Every row carries the date its prices were last checked, so a stale figure is visible rather than silently wrong.
POST https://modell.halowerk.com/v1/llm-catalogEingaben
| Feld | Typ | Pflicht | Beschreibung |
|---|---|---|---|
| vendor | string | Nein | Only models from this vendor, e.g. anthropic, openai, google. |
| max_input_price | number | Nein | Only models at or below this input price per million tokens. |
| max_output_price | number | Nein | Only models at or below this output price per million tokens. |
| min_context | integer | Nein | Only models whose context window is at least this many tokens. |
| min_output | integer | Nein | Only models able to emit at least this many output tokens. |
| tag | string | Nein | Only models carrying this capability tag, e.g. coding, speed, reasoning, cheap. |
| sort | string | Nein | Sort order. |
Vollständiges Eingabeschema anzeigen
{
"type": "object",
"additionalProperties": false,
"properties": {
"vendor": {
"type": "string",
"maxLength": 64,
"description": "Only models from this vendor, e.g. anthropic, openai, google."
},
"max_input_price": {
"type": "number",
"minimum": 0,
"description": "Only models at or below this input price per million tokens."
},
"max_output_price": {
"type": "number",
"minimum": 0,
"description": "Only models at or below this output price per million tokens."
},
"min_context": {
"type": "integer",
"minimum": 0,
"description": "Only models whose context window is at least this many tokens."
},
"min_output": {
"type": "integer",
"minimum": 0,
"description": "Only models able to emit at least this many output tokens."
},
"tag": {
"type": "string",
"maxLength": 40,
"description": "Only models carrying this capability tag, e.g. coding, speed, reasoning, cheap."
},
"sort": {
"type": "string",
"enum": [
"input_price",
"output_price",
"context",
"vendor"
],
"default": "output_price",
"description": "Sort order."
}
}
}Veröffentlichtes Eingabebeispiel
{
"sort": "output_price"
}Ergebnis & Dokumentation
Veröffentlichtes Ergebnisschema anzeigen
{
"$ref": "https://modell.halowerk.com/v1/llm-catalog/schema#/outputSchema"
}Veröffentlichtes Ergebnisbeispiel öffnen
Maschinenlesbare Dokumentation dieses Hubs
Quelle dieser Seite: der veröffentlichte HALOWERK-Katalog. Stand: 2026-11-01, 15:19 UTC.
Weitere Endpunkte dieses Hubs
- Modellwerk0,003 USDC
chat completions
POSThttps://modell.halowerk.com/v1/chat-completionsRuns openai/gpt-oss-20b via GroqCloud. Messages are sent to Groq Inc., USA; payment metadata is not forwarded. At most 8 messages, 8192 UTF-8 bytes overall and 1024 completion tokens including reasoning. A length finish_reason exposes trunc
- Modellwerk0,002 USDC
context plan
POSThttps://modell.halowerk.com/v1/context-planPlans the division of a long input for a given model. It reserves room for the system prompt, the expected answer and a safety margin, then works out how many chunks are needed and where to cut, preferring paragraph boundaries over line and
- Modellwerk0,002 USDC
cost estimate
POSThttps://modell.halowerk.com/v1/cost-estimateWorks out what a call would cost. Give either the text itself or a token count, plus the expected output length, and get input, output, cache-read and cache-write cost per model with the total. Token counts derived from text are estimates f