Multi-step reasoning
Security and privacy
Keep sensitive information within your organization’s approved data boundaries.
Models built for the work that run where your data lives
Reasoning, coding and clinical models, post-trained by DataObserve and available in DO products or through the DO Console API.
// Leap today withDataObserve
Our models
Explore our reasoning, coding and clinical model work. Evaluation results will be published with their methodology once validated.
- // Reasoning & documents
DO Mek
Reasoning and document model for conversation, logic and connected workflows.
Works through multi-step problems, reads long PDFs, scans and tables with every claim grounded to a source page, and calls tools to finish tasks. Powers Coworker.
- Multi-step reasoning
- Document AI
- Multilingual
- Tool use
Evaluation areas- —
- GPQA Diamond
- —
- OmniDocBench
- —
- MathVision
- Parameters
- 27B
- Context
- 262K tokens, extensible to ~1M
- Input / output
- Text, image and video in; text out
- Access
- Coworker · DO Console API
Evaluation results withheld pending validation of the model version, dataset, harness and methodology. No independently verified results are published here.
- // Agentic coding
DO Mini
Intelligence for long-running agents and everyday development.
Edits across files, runs terminal workflows and stays on goal over hundreds of tool calls, with fewer tokens, steps and cost per task. Powers Developer.
- Multi-file edits
- Terminal workflows
- Long-horizon persistence
- Effort calibration
Evaluation areas- —
- SWE-bench Pro
- —
- Terminal-Bench 2.1
- —
- LiveCodeBench v6
- Parameters
- 27B
- Context
- 262K tokens, extensible to ~1M
- Max output
- 65,536 tokens
- Access
- Developer · DO Console API
Evaluation results withheld pending validation of the model version, dataset, harness and methodology. No independently verified results are published here.
- // Clinical
DO Med
Medical foundation model for imaging, clinical text and de-identification.
Structured symptom assessments, findings linked to the source image region or text, and sensitive-data handling subject to your organization’s review, for practitioner review.
- Medical imaging
- Anatomical localization
- Biomedical entities
- PHI de-identification
Evaluation areas- —
- MedQA
- —
- MedMCQA
- —
- MMLU Med
- Architecture
- Decoder-only transformer (GQA)
- Context
- 128K tokens
- Input / output
- Text and imaging in; JSON / FHIR out
- Deployment
- In your environment; no patient data leaves
Evaluation results are withheld pending validation. This page provides no evidence of clinical safety or regulatory clearance. Outputs require qualified clinical review.
// Model Catalog
Open-weight models, optimized fortraining and inference
Explore open-weight model options. Confirm model availability, licensing, compatibility and hardware requirements with our team.
- Qwen3.8 · DenseQwen3.8 27B27B
- Qwen3.6 · MoEQwen3.6 35B-A3B35B-A3B
- Qwen3.5 · MoEQwen3.5 397B-A17B397B-A17B
- Kimi · MoEKimi K2.6Open weights
- Kimi · MoEKimi K3Open weights
- DeepSeek · MoEDeepSeek V4 ProOpen weights
- Gemma 4 · MoEGemma 4 26B-A4B26B-A4B
- gpt-oss · MoEgpt-oss 120B120B
- GLM · MoEGLM 5.3Open weights
- GLM · MoEGLM 5.3 FlashOpen weights
- DeepSeek · MoEDeepSeek V4 FlashOpen weights
- Explore model options