Built for teams that take
engineering seriously.
Choose the deployment mode that fits your security, compliance, and operational needs.
Choose the deployment mode that fits your security, compliance, and operational needs.
Managed by us. Loved by you.
Your infrastructure. Your rules.
| Feature | Cloud | Self-Hosted |
|---|---|---|
| Job Pipeline | ||
| Expert Agents | ||
| Guardrails | ||
| Dashboard | ||
| Knowledge Management | ||
| Multi-Model Support | ||
| Integrations | ||
| Benchmark Lab | ||
| CLI & API | ||
| Offline Mode | ||
| Full Data Sovereignty | Isolated | |
| Managed Updates | Manual | |
| SLA | 99.9% | Self-managed |
Where the money and time actually go — beyond the subscription price.
| — | Cloud | Self-Hosted |
|---|---|---|
| Capex | None | Infra provisioning, initial setup time |
| Opex | Subscription + model tokens | Infra + ops + model tokens |
| Ops burden | We run it | Your team runs it — upgrades, backups, monitoring |
| Model choice | Curated providers, swap per project | Any provider, including local / offline |
| Data residency | EU region, isolated per customer | Wherever you deploy — on-prem, private cloud, air-gap |
| SLA | 99.9% uptime | Self-managed |
Representative per-job costs from real workloads — the model tokens dominate, not the subscription.
| Job type | Typical cost | What drives it |
|---|---|---|
| Security audit | $0.20 – $1.00 | One analysis expert reads the repo, runs tools, submits findings. Read-heavy; no writes. |
| Feature job (median) | $2 – $8 | Decomposition + 3–6 mini-jobs running in parallel. Write-heavy; multi-turn coding loops. |
| Chat session | ≈ $0.05 | Single Haiku turn per message; full context cached after turn 1. |
Figures are indicative ranges from observed job medians on Claude Haiku 4.5 (fast tier) and Sonnet 4.6 (default tier). Deep-tier jobs on Opus or GPT-class frontier models run 3–5× higher. Check `/api/jobs/cost-estimate` for live medians.
Orqista routes each job to one of three tiers. Prices are passed through at cost — the dashboard shows live per-tier rates from your connected model providers.
| Tier | Typical model class | Input (per 1M tokens) | Output (per 1M tokens) |
|---|---|---|---|
| fast | Haiku-class / small local | $0.25 – $1.00 | $1.00 – $5.00 |
| default | Sonnet-class | $1.00 – $3.00 | $5.00 – $15.00 |
| deep | Opus / frontier | $5.00 – $15.00 | $25.00 – $75.00 |
Ranges below are the public per-1M-token rates across typical providers (Anthropic, Bedrock, Ollama-free). Local models on the fast tier drop the effective rate to zero at the cost of hardware.
Feature comparison with popular AI coding tools.
| Feature | Orqista | Devin | Cursor | Copilot WS | SWE-agent |
|---|---|---|---|---|---|
| Self-hosted / air-gap | |||||
| DAG execution (staged parallelism) | |||||
| Configurable guardrails | |||||
| Multi-model (swap providers) | |||||
| Custom workflow patterns | |||||
| GitLab + Jira integration | |||||
| Knowledge system | |||||
| Human-in-the-loop approval | |||||
| Cost tracking & budgets | |||||
| Open source |
Comparison based on publicly available information as of March 2026. Features may have changed.
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