Yandex
Yandex's own Alice AI and YandexGPT models are addressed in the LLMTR catalog with the yandex/ prefix, exactly as the catalog spells them. All five models work on the /v1/chat/completions endpoint.
| Model | Context | Input / Output ($/1M) |
|---|---|---|
yandex/alice-ai-llm |
131,072 | 4.09836 / 9.836064 |
yandex/alice-ai-llm-flash |
65,536 | 0.819672 / 1.639344 |
yandex/yandexgpt-5.1-pro |
32,768 | 6.557376 / 6.557376 |
yandex/yandexgpt-5-pro |
32,768 | 9.836064 / 9.836064 |
yandex/yandexgpt-5-lite |
32,768 | 1.639344 / 1.639344 |
On Alice AI LLM Flash, repeated prompt prefixes can be served from a cache; those tokens bill at $0.204918 per 1M. The other four models have no cache discount.
curl "$LLMTR_BASE_URL/v1/chat/completions" \ -H "Authorization: Bearer llmtr-your_key" \ -H "Content-Type: application/json" \ -d '{ "model": "yandex/alice-ai-llm-flash", "messages": [ { "role": "system", "content": "Answer briefly and clearly." }, { "role": "user", "content": "Summarise this customer email in three bullet points." } ], "max_tokens": 1024 }'All five models support tool/function calling, streaming, and JSON output with response_format: { "type": "json_object" }.
Limits
Section titled “Limits”- The models accept text only. A request containing an image is refused with
400 unsupported_inputand is not charged. reasoning_effortis not supported on this provider; a request that sends it is refused with400 invalid_request.- If a long answer comes back with
finish_reason: "length", raisemax_tokensand retry.