GreenPT / greenpt/qwen3.5-397b-a17b-eu

Qwen3.5 397B A17B - access through LLMTR

Qwen3.5 397B A17B is a large sparse mixture-of-experts model with a 250,000-token context window. It costs roughly 2.3x the 35B row in the same family on input and 2.4x on output, and we ran no quality comparison between the two. It genuinely processes image input: in measurement it described a two-photo product image correctly and its input token count rose by the image's own tokens. Tool/function calling was verified over a full two-turn loop. The model reasons by default; on a short question it was observed spending its entire output budget on reasoning, so keep `max_tokens` high. Output costs six times input, which is where to plan the bill from. Repeated prefixes are not served from a cache.

Technical specifications

Canonical IDgreenpt/qwen3.5-397b-a17b-eu
ProviderGreenPT
Context window250,000 tokens
OperationsCHAT_COMPLETIONS
Modalitiestext, image

Pricing

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

OperationMetricUnitPrice
CHAT_COMPLETIONSINPUT_TEXTPER_1M_TOKENS$0.854217
CHAT_COMPLETIONSOUTPUT_TEXTPER_1M_TOKENS$5.308348

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/qwen3.5-397b-a17b-eu","messages":[{"role":"user","content":"Hello"}]}'

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