Frontier agentic coding within 0.2 points of Claude Opus 4.7 on SWE-bench Verified. Built on DeepSeek V4 Pro, hosted in the US.
The Astrophysical Journal accepted our AI's FRB discovery after three rounds of peer review, but the AAS editorial office then halted the paper over an AI-disclosure review, not the science.
Read moreWhy Blankline is working towards a 10-million agent architecture grounded in directed learning and safety.
Read moreDecoupling reasoning depth from context length via Recursive Swarm Architecture and heterogeneous inference routing.
Read moreBy decoupling probabilistic reasoning from deterministic state, D3 eliminates context saturation enabling reliable, long-horizon autonomous engineering agents.
Read moreStandard public coding benchmarks, latest published runs.
Dropstone Pro is the default workhorse for real engineering. It scores 80.6% on SWE-bench Verified, 0.2 points behind Claude Opus 4.7, leads Opus on LiveCodeBench and Terminal-Bench 2.0, and serves at a fraction of frontier-closed-model cost. Same approval-gated CLI, same zero-retention US inference, dramatically more turns per dollar.
Plan a feature, edit across the repo, run the test suite, fix the failures. One approval gate per tool call, frontier-grade reasoning behind it.
Hand Pro a stack trace and let it grep, edit, and re-run until the test goes green. Designed for the SWE-bench-shaped tasks that close real GitHub issues.
Run Pro across a PR diff to flag security, performance, and style issues, with the same OWASP coverage as Dropstone's safety analyzer.
Every Dropstone request is treated as if the model could be adversarial. The CLI requires explicit user approval before any action that writes to disk, runs a shell command, or fetches a URL. No model output is ever auto-executed.
Pro runs on SOC 2-certified, US-based inference providers. Prompts and completions are not retained, not used for training, and not shared with the model's original operator.
Pro is built on DeepSeek V4 Pro, an open-weight foundation model. Goldwasser et al. (2022) proved no party can prove a closed foundation model is free of embedded behaviors, including Anthropic for Claude and OpenAI for GPT. We say this out loud. The runtime is why model origin does not matter for your code.
Same approval gate, same US-hosted inference, same zero-retention guarantee across all three. Pick the smallest model that meets the task.
Sub-second agentic coding for edits, refactors, and high-throughput inline completion. Built on DeepSeek V4 Flash, hosted in the US.
Frontier agentic coding within 0.2 points of Claude Opus 4.7 on SWE-bench Verified. Built on DeepSeek V4 Pro, hosted in the US.
Long-horizon agentic coding with 300-sub-agent swarms and 4,000 coordinated steps. Built on Kimi K2.6, hosted in the US.
Fast is included on every plan. Pro and Heavy are unlocked on the Pro plan ($15/mo) and Max plan ($75/mo).
Install the CLI, authenticate, and start running approval-gated agentic workflows. No credit card to start.
