GreenPT / greenpt/mistral-small-3.2-24b-instruct-2506

Mistral Small 3.2 24B - access through LLMTR

Mistral Small 3.2 24B has a 128,000-token context window and is one of the cheapest rows on this provider. It genuinely processes image input and described a product photo correctly in measurement. Schema-enforced JSON through `response_format` was also verified in measurement and produced valid output. It does not reason by default, answering a short question in two tokens, so output cost is predictable. Tool/function calling was verified over a full two-turn loop. For image tagging, field extraction and high-volume classification, the combination of a low price with verified schema support is what makes this row stand out. Repeated prefixes are not served from a cache.

Technical specifications

Canonical IDgreenpt/mistral-small-3.2-24b-instruct-2506
ProviderGreenPT
Context window128,000 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$0.244062
CHAT_COMPLETIONSOUTPUT_TEXTPER_1M_TOKENS$0.488124

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-small-3.2-24b-instruct-2506","messages":[{"role":"user","content":"Hello"}]}'

Guides about this model

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