PublicAI / publicai/apertus-v1.5-8b-thinking
Apertus v1.5 8B Thinking - access through LLMTR
Apertus v1.5 8B Thinking is a reasoning model that works through problems step by step before answering. The reasoning trace is returned in a separate field rather than mixed into the answer. It is more accurate than the standard 8B version on mathematics, logic puzzles, multi-step analysis, and tasks that need careful reading. Reasoning is on by default and can be turned off by appending `:fast` to the model id (`publicai/apertus-v1.5-8b-thinking:fast`) or by sending `reasoning: false` in the request body; with it off, responses get noticeably shorter and consume fewer output tokens. It handles text and image input, offers a 262,144-token context window, and can produce JSON-formatted output. This variant does not support function calling; use Apertus v1.5 8B for tool-calling flows. Images must be supplied as base64 data URLs.
Technical specifications
| Canonical ID | publicai/apertus-v1.5-8b-thinking |
|---|---|
| Provider | PublicAI |
| Context window | 262,144 tokens |
| Operations | CHAT_COMPLETIONS |
| Modalities | text, image |
Pricing
A 6% platform margin applies to credit top-ups; model usage prices are not separately marked up.
| Operation | Metric | Unit | Price |
|---|---|---|---|
| CHAT_COMPLETIONS | INPUT_TEXT | PER_1M_TOKENS | $0.100000 |
| CHAT_COMPLETIONS | OUTPUT_TEXT | PER_1M_TOKENS | $0.200000 |
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":"publicai/apertus-v1.5-8b-thinking","messages":[{"role":"user","content":"Hello"}]}'
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