GreenPT / greenpt/glm-5.2-caveman-ultra

GLM-5.2 Caveman Ultra - access through LLMTR

Caveman Ultra is GLM-5.2 running under a software-assistant instruction the provider injects on its side. In measurement it described itself as terse and technical with no filler: it drops pleasantries, preserves code, commands, error strings and numbers verbatim, and adds no decorative formatting. That instruction is added server-side and billed to you as input on every request: an eight-token user message was billed as 293 input tokens in measurement. If you want the same model without the extra instruction, use the plain GLM-5.2 row. In measurement the base, lite and ultra variants did not separate: their hidden instructions are within a few tokens of the same length and their answers matched in tone and content. Nothing indicates a quality ladder between them. Because of the provider's injected instructions the model sometimes introduces itself as another company's assistant; the model you are billed for, and the one producing the answer, is GLM-5.2. It offers a 1,000,000-token context window, tool/function calling, and prompt-cache reads billed at a quarter of the normal input rate on repeated prefixes. It accepts text only — no image input. The model reasons by default and those hidden tokens bill as output.

Technical specifications

Canonical IDgreenpt/glm-5.2-caveman-ultra
ProviderGreenPT
Context window1,000,000 tokens
OperationsCHAT_COMPLETIONS
Modalitiestext

Pricing

An 8% platform margin applies to credit top-ups; model usage prices are not separately marked up.

OperationMetricUnitPrice
CHAT_COMPLETIONSINPUT_TEXTPER_1M_TOKENS$1.342341
CHAT_COMPLETIONSCACHE_READPER_1M_TOKENS$0.335585
CHAT_COMPLETIONSOUTPUT_TEXTPER_1M_TOKENS$5.369364

Example usage

With existing OpenAI SDK flows, change only the base URL and model identifier.

curl https://llmtr.com/v1/chat/completions   -H "Authorization: Bearer llmtr-your_key"   -H "Content-Type: application/json"   -d '{"model":"greenpt/glm-5.2-caveman-ultra","messages":[{"role":"user","content":"Hello"}]}'

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