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Models & Usage

Most AI-tooling plans meter you tightly because the model underneath is expensive. A plan built on a single first-party frontier API — a Claude Pro seat, say — burns through its allowance fast, because every token is billed at premium first-party rates. Sigilix is built differently. We run a roster of cheap, highly reliable open and frontier models — the kind that are now industry-standard and dependable for production code work — so our cost base per review is a fraction of a single-vendor stack. That difference is passed straight to you: far more headroom for the same money.
The point isn’t “cheap models, cheaper output.” Every finding still clears the full believability pipeline — evidence, provenance, refute/execute, proof-tier receipts. Lower cost buys you more usage, not lower standards.

The models we run

You can pick the model that fits your work and your usage. The roster includes industry-standard open and frontier models such as:

DeepSeek V4

Strong reasoning for logic and architecture work.

Kimi K2.7

High-quality, high-throughput code reasoning.

MiniMax M3

Reliable general-purpose code understanding.

GLM 5.2

Capable, cost-efficient coverage across roles.
…and more are added as the open/frontier landscape moves. These models are reliable enough to stand behind a believability guarantee, and cheap enough that we can give you usage windows a single-vendor plan can’t match.
On the hosted PR ensemble, each specialist — Metis (logic), Argus (security), Iris (performance), Eunomia (tests), unified by Harmonia — runs the model tuned to its role, behind cross-provider fallback so one provider’s outage can’t silence a specialist. See The Ensemble.

Pick your own model

You’re not locked to one choice. Select the model that matches the work and the budget you want to spend, and change it as your needs change. On the CLI and Deep-Research Chat, you can also bring your own model — Codex CLI, Claude Code, or your own SDK and provider keys — and pay that provider directly. Your model still fetches Sigilix’s verified earned-context layer, so it inherits the precision without re-deriving your repo.

Generous usage windows

Because the cost base is low, included usage is generous — meaningfully higher than a comparable OpenAI- or Claude-based plan for the same price.
1

Per-seat base + metered usage

Each tier is a per-seat base plus metered usage for review volume and agent tokens. No fixed PR windows — you pay for your team plus the work Sigilix actually does.
2

Pick the model that fits

Run a cheaper model for routine volume, or a heavier one where it matters. The choice is yours, per your usage.
3

Windows reset every 5 days

Usage windows reset on a 5-day cadence — not weekly — so you spend less time waiting on a limit.
For tier pricing and what’s included at each level, see the pricing page.

Bring Your Own Models

Use Codex CLI, Claude Code, or your own keys on the CLI and chat.

Rate Limits

How limits are applied and what happens at the ceiling.