Cura 1T model

Cura 1T is actAVA's one-trillion-parameter healthcare model — fine-tuned from Kimi-K2.6 through recursive self-improvement, with a 256K context window and native text + vision input.

Cura 1T is a research model, not a medical service, and not a substitute for a clinician. Benchmark scores do not establish safety for unsupervised clinical use.

Overview

Cura 1T targets three healthcare workloads: patient care (physician-rubric-graded communication), clinical reasoning over text and medical images, and agentic tasks — interactive diagnosis and EHR/FHIR tool execution. It leads frontier models on 5 of 6 healthcare benchmark panels and ranks second on MedXpertQA multimodal:

Patient-facing communication

Top scores on HealthBench Professional (0.662) and HealthBench Hard (0.368), both graded against physician-authored rubrics — the strongest capability gap vs the base model (+0.159 and +0.146).

Clinical reasoning, text and image

60.0% on MedXpertQA text (best among frontier models) and 72.2% on the multimodal split — expert-level exam questions spanning 17 medical specialties, whose clinical images and case context are passed as image_url parts.

Agentic EHR execution

94.0% on MedAgentBench (FHIR tool calls against a live EHR server) and 79.6% on AgentClinic's interactive diagnosis — use tool calls to wire it to your systems.

Example usage

Install the OpenAI SDK

Shell
pip install --upgrade "openai>=1.0"

Verify the installation

Shell
python -c "import openai; print(openai.__version__)"

Quick start

Python
import osfrom openai import OpenAI client = OpenAI(    api_key=os.environ["ACTAVA_API_KEY"],    base_url="https://inference.actava.ai/v1",) response = client.chat.completions.create(    model="actava/cura-soar",    messages=[        {"role": "system", "content": "You are a clinical decision-support assistant."},        {"role": "user", "content": "A 68-year-old on apixaban needs dental extraction. Peri-procedural management?"},    ],    temperature=1.0,)print(response.choices[0].message.content)

Best practices

  • Sample at temperature 1.0. All published Cura 1T benchmark results were measured at T=1.0; it is the recommended default for clinical reasoning traces.
  • Keep the full conversation. For multi-turn diagnosis, resend the complete message history each turn — see multi-turn chat.
  • Reuse long prefixes. Stable system prompts and documents are served from prompt cache, skipping reprocessing.
  • Human oversight. Cura 1T is a research model — keep a clinician in the loop for anything patient-facing.

Learn more

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