Fast continues on DeepSeek V4 Flash for 1.6. Reported as a latency-and-cost tier: its frontier-relevant benchmarks are saturated, so we make no comparative capability claim for it.
Dropstone Fast 1.6
Low-latency agentic coding for edits, refactors, and high-throughput inline completion. Built on DeepSeek V4 Flash, hosted in the US.
Announcements
Every cycle we re-evaluate the open-weight leaderboard. When something better ships, Fast gets swapped. Same CLI, same security model.
Everything Fast ships with.
Dropstone Fast is the tier you reach for thousands of times a day: inline completion, file-scoped edits, quick refactors, test stubs. It runs DeepSeek V4 Flash on US-hosted inference behind the same approval-gated CLI as every other tier, so velocity never costs you a security boundary. Its frontier-relevant benchmarks are saturated, so we make no comparative capability claim for Fast and report it as a latency-and-cost tier.
Inline completion
Low-latency suggestions that respect your repo conventions. Designed for thousand-keystroke workflows.
File-scoped edits
Rename, refactor, extract. Fast enough to feel like an IDE primitive, not a network round-trip.
Test scaffolding
Generate unit-test skeletons against the function under the cursor with the same approval gate as any other tool call.
The security boundary is the approval gate.
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.
US-hosted inference. You control your data.
Fast runs on SOC 2-certified, US-based inference providers. Enterprise and commercial data is never stored and never trained on, regardless of any setting. Consumer sessions help improve the open model we run and can be turned off anytime in settings, as text only, never your raw images.
Honest about what we cannot prove.
Fast is built on DeepSeek V4 Flash, 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.
Three tiers. One CLI.
Same approval gate, same US-hosted inference, same zero-retention guarantee across all three. Pick the smallest model that meets the task.
Dropstone Fast 1.6
Low-latency agentic coding for edits, refactors, and high-throughput inline completion. Built on DeepSeek V4 Flash, hosted in the US.
- Inline completion
- File-scoped edits
- Test scaffolding
- Approval gate on every tool call
- US-hosted inference
- Zero retention
- Monthly model refresh
Dropstone Pro 1.6
The everyday workhorse, built for tool use and day-to-day coding. Built on Kimi K2.7 Code, hosted in the US.
- Full-stack feature work
- Tool-driven workflows
- Code review at scale
- Approval gate on every tool call
- US-hosted inference
- Zero retention
- Monthly model refresh
Dropstone Heavy 1.6
The strongest open-weight model we measured: #1 open on SWE-bench Pro, ahead of GPT-5.5. Built on GLM-5.2, hosted in the US.
- Long-horizon refactors
- Hard SWE-bench-shaped issues
- Terminal-driven debugging
- Approval gate on every tool call
- US-hosted inference
- Zero retention
- Monthly model refresh
Fast is included on every plan. Pro and Heavy are unlocked on the Pro plan ($15/mo) and Max plan ($75/mo).
Questions you'd ask in a security review.
When should I use Dropstone Fast 1.6?
Is my code sent to a Chinese model provider?
What changes when Dropstone Fast 1.6 gets refreshed?
Do you offer enterprise deployment?
Ship with Dropstone Fast 1.6.
Install the CLI, authenticate, and start running approval-gated agentic workflows. No credit card to start.