Blackbox AI vs Sweep AI
55 fields both were evaluated on, 22 of them different — including where one discloses something the other does not. Every value links to the document it came from. 33 further fields are disclosed by neither and are listed at the end rather than tabled.
Assurance
| Field | Blackbox AI | Sweep AI |
|---|---|---|
| Audit trail· | no public information sweep.dev · checked Aug 1, 2026 | |
| Permission scopes· | “SSO sign-in across every surface One commit covers the full organization”blackbox.ai · checked Aug 7, 2026 | no public information sweep.dev · checked Aug 1, 2026 |
| Compliance certifications· | no public information blackbox.ai · checked Aug 7, 2026 | |
| Regulatory alignment· | no public information blackbox.ai · checked Aug 7, 2026 | |
| Evaluation coverage· | “Independent measurements, not claims. Artificial Analysis independently measured our output speed on NVIDIA Nemotron 3 Ultra.”blackbox.ai · checked Aug 7, 2026 | no public information sweep.dev · checked Aug 1, 2026 |
Safety
| Field | Blackbox AI | Sweep AI |
|---|---|---|
| Safety policy· | no public information blackbox.ai · checked Aug 7, 2026 | “Privacy-first Enterprise-ready with SOC 2 compliance and zero data retention.”sweep.dev · checked Aug 1, 2026 |
| Third-party evaluations· | “Independent measurements, not claims. Artificial Analysis independently measured our output speed”blackbox.ai · checked Aug 7, 2026 | no public information sweep.dev · checked Aug 1, 2026 |
| Data handling· | no public information blackbox.ai · checked Aug 7, 2026 |
Practicality
| Field | Blackbox AI | Sweep AI |
|---|---|---|
| Pricing model· | Per-token Enterprise commits “Per-token Enterprise commits · rates improve with spend”blackbox.ai · checked Aug 7, 2026 | |
| Price point· | $1.40, $1.90, $0.74, $0.32, $0.60 “zai glm-5.2 Text 1M $1.40 DEPLOY moonshotai kimi-k2.7-code-highspeed Code 262K $1.90 DEPLOY moonshotai kimi-k2.7-code Code 262K $0.74 DEPLOY nvidia nemotron-3-ultra-550b-a55b Text 1M $0.32 DEPLOY alibaba qwen3.7-plus Text 1M $0.32 DEPLOY minimax minimax-m3 Text 1M $0.60”blackbox.ai · checked Aug 7, 2026 Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations | |
| Availability· | ||
| Deployment options· | no public information blackbox.ai · checked Aug 7, 2026 | |
| Integrations· | “The Agents API, the VS Code extension, and the CLI.”blackbox.ai · checked Aug 7, 2026 Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations | “Works with all JetBrains IDEs IntelliJ IDEA, PyCharm, Android Studio, WebStorm, PhpStorm, Rider, and more.”sweep.dev · checked Aug 1, 2026 |
Foundation models
| Field | Blackbox AI | Sweep AI |
|---|---|---|
| Base models· | no public information blackbox.ai · checked Aug 7, 2026 | “Sweep uses our own LLMs for unmatched price, performance, and security.”sweep.dev · checked Aug 1, 2026 |
| Model provider· | no public information blackbox.ai · checked Aug 7, 2026 | “Sweep uses our own LLMs for unmatched price, performance, and security.”sweep.dev · checked Aug 1, 2026 |
| Open weights· | open-weight model “Enterprise Inference runs the open-weight model that you choose”blackbox.ai · checked Aug 7, 2026 | no public information sweep.dev · checked Aug 1, 2026 |
Ecosystem
| Field | Blackbox AI | Sweep AI |
|---|---|---|
| Protocols supported· | ||
| Tool use· | “Agents & tooling The Agents API, the VS Code extension, and the CLI.”blackbox.ai · checked Aug 7, 2026 Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations | “Web Search & Fetch Tools - Browse the web from Sweep”sweep.dev · checked Aug 1, 2026 |
| Marketplace presence· | no public information blackbox.ai · checked Aug 7, 2026 |
Impact
| Field | Blackbox AI | Sweep AI |
|---|---|---|
| User base· | 5M+ developers, including engineers at the world's largest companies “5M+ developers, including engineers at the world's largest companies, build with BLACKBOX.AI”blackbox.ai · checked Aug 7, 2026 Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations | |
| Deployment scale· | 5M+ developers, including engineers at the world's largest companies “5M+ developers, including engineers at the world's largest companies, build with BLACKBOX.AI”blackbox.ai · checked Aug 7, 2026 Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations | “Trusted every day by thousands of professional developers.”sweep.dev · checked Aug 1, 2026 |
| Target sectors· | “Trusted every day by thousands of professional developers.”sweep.dev · checked Aug 1, 2026 |
Disclosed by neither
Both Blackbox AI and Sweep AI publish nothing on these 33 fields. That is a finding about the category rather than a difference between them, so it is recorded here instead of as 33 identical table rows. Each is shown with its source check on the individual profiles.
- Autonomy level
- Human oversight
- Goal complexity
- Action space
- Operating environment
- Initiative
- High-risk domains
- Documented incidents
- Supported regions
- Support model
- Model swappable
- Fine-tuning
- Context window
- Multi-agent
- API access
- Open source
- Safety evaluations
- Red teaming
- Usage restrictions
- Model or system card
- Incident reporting
- Insurance available
- Insurance carriers
- Coverage limits
- Indemnification
- Liability cap
- Tamper-evident log
- Explainability
- Runtime governance
- Outcome-based pricing
- Settlement mechanism
- Dispute process
- SLA terms
Questions
- How do Blackbox AI and Sweep AI compare on open weights?
- Blackbox AI: open-weight model. Sweep AI: no public information disclosed.