GreenPT / greenpt/mistral-medium-3.5-128b
Mistral Medium 3.5 128B - access through LLMTR
Mistral Medium 3.5 128B has a 180,000-token context window and is the second most expensive row on this provider. It genuinely processes image input; in measurement it described a two-pose product photo correctly, down to the details of the clothing. It does not reason by default: it answered a short question in two tokens, so output cost is predictable. Tool/function calling was verified over a full two-turn loop. Output costs five times input and this row's input price is already high; for high-volume work the Mistral Small 3.2 row in the same family is nine times cheaper. Repeated prefixes are not served from a cache.
Technical specifications
| Canonical ID | greenpt/mistral-medium-3.5-128b |
|---|---|
| Provider | GreenPT |
| Context window | 180,000 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 | $2.196558 |
| CHAT_COMPLETIONS | OUTPUT_TEXT | PER_1M_TOKENS | $10.98279 |
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/mistral-medium-3.5-128b","messages":[{"role":"user","content":"Hello"}]}'Related models
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