GreenPT / greenpt/kimi-k2.7-code-eu
Kimi K2.7 Code - access through LLMTR
Kimi K2.7 Code is a 256,000-token context model tuned for coding work. In measurement it produced valid schema-enforced JSON through `response_format`, making it one of the rows on this provider where schema enforcement is verified rather than assumed. It genuinely processes image input: it described a product photo correctly and its input token count rose by the image's own tokens. Tool/function calling was verified over a full two-turn loop. Repeated prompt prefixes are served from a cache and those input tokens bill at roughly a fifth of the normal input rate. The model reasons by default and those tokens bill as output; output costs five times input.
Technical specifications
| Canonical ID | greenpt/kimi-k2.7-code-eu |
|---|---|
| Provider | GreenPT |
| Context window | 256,000 tokens |
| Operations | CHAT_COMPLETIONS |
| Modalities | text, image |
Pricing
An 8% 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 | $0.939639 |
| CHAT_COMPLETIONS | CACHE_READ | PER_1M_TOKENS | $0.201351 |
| CHAT_COMPLETIONS | OUTPUT_TEXT | PER_1M_TOKENS | $4.698194 |
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/kimi-k2.7-code-eu","messages":[{"role":"user","content":"Hello"}]}'Related models
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