InclusionAI / inclusionai/ling-3.0-flash-sante

Ling 3.0 Flash Sante - access through LLMTR

Ling 3.0 Flash Sante is InclusionAI's health and medicine build of Ling 3.0 Flash, activating roughly 5.1 billion of its 124 billion parameters per token. It is trained for medical knowledge reasoning, evidence-based retrieval and long-horizon clinical tasks while keeping the base model's general reasoning, coding and agentic ability, so it is used for literature summaries, clinical documentation drafts and medical question answering. It offers a 256K context window and produces at most 32,768 tokens per response. It reasons by default, returning that chain separately in `reasoning_content`, whose tokens are counted inside `completion_tokens`. To turn reasoning off, send `reasoning_effort: "none"` or append the `:none` suffix to the model id - that is the only level with a measured effect on this model, so the others are not offered even though the upstream accepts them. Native tool calling works in every reasoning state, including `tool_choice` set to `required` or a named function. Repeated prefixes are served from a prompt cache; since this card is free the benefit is LATENCY, not a lower price. It accepts text only - no image or audio input, and no schema-enforced JSON output. Its answers are not medical advice and are not a substitute for a clinician. The free period ends on 22 September 2026: after that date this card retires and requests return an error naming its successor, `inclusionai/ling-3.0-flash`, which is the same base model without the health tuning and is metered; nothing is charged until you change the model id yourself.

Technical specifications

Canonical IDinclusionai/ling-3.0-flash-sante
ProviderInclusionAI
Context window262,144 tokens
OperationsCHAT_COMPLETIONS
Modalitiestext

Pricing

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

OperationMetricUnitPrice
CHAT_COMPLETIONSINPUT_TEXTPER_1M_TOKENSNot available
CHAT_COMPLETIONSCACHE_READPER_1M_TOKENSNot available
CHAT_COMPLETIONSOUTPUT_TEXTPER_1M_TOKENSNot available

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":"inclusionai/ling-3.0-flash-sante","messages":[{"role":"user","content":"Hello"}]}'

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