agent · ai-coding-agents
Blackbox AI vs Goose
55 fields both were evaluated on, 23 of them different — including where one discloses something the other does not. Every value links to the document it came from. 32 further fields are disclosed by neither and are listed at the end rather than tabled.
Assurance
| Field | Blackbox AI | Goose |
|---|---|---|
| Audit trail· | no public information goose-docs.ai · checked Aug 1, 2026 | |
| Runtime governance· | no public information blackbox.ai · checked Aug 7, 2026 | “🔒 Security Prompt injection detection, tool permission controls, sandbox mode, and an adversary reviewer that watches for unsafe actions.”goose-docs.ai · checked Aug 1, 2026 |
| Permission scopes· | “SSO sign-in across every surface One commit covers the full organization”blackbox.ai · checked Aug 7, 2026 | “🔒 Security Prompt injection detection, tool permission controls, sandbox mode, and an adversary reviewer that watches for unsafe actions.”goose-docs.ai · checked Aug 1, 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 goose-docs.ai · checked Aug 1, 2026 |
Agency
| Field | Blackbox AI | Goose |
|---|---|---|
| Operating environment· | no public information blackbox.ai · checked Aug 7, 2026 | “goose is a general-purpose AI agent that runs on your machine.”goose-docs.ai · checked Aug 1, 2026 |
Safety
| Field | Blackbox AI | Goose |
|---|---|---|
| Safety policy· | no public information blackbox.ai · checked Aug 7, 2026 | “🔒 Security Prompt injection detection, tool permission controls, sandbox mode, and an adversary reviewer that watches for unsafe actions.”goose-docs.ai · 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 goose-docs.ai · checked Aug 1, 2026 |
Practicality
| Field | Blackbox AI | Goose |
|---|---|---|
| Pricing model· | Per-token Enterprise commits “Per-token Enterprise commits · rates improve with spend”blackbox.ai · checked Aug 7, 2026 | no public information goose-docs.ai · checked Aug 1, 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 | no public information goose-docs.ai · checked Aug 1, 2026 |
| Availability· | “Download the desktop app Available for macOS, Linux, and Windows”goose-docs.ai · checked Aug 1, 2026 | |
| 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 | “Connect to 70+ extensions — databases, APIs, browsers, GitHub, Google Drive, and more — via the Model Context Protocol open standard.”goose-docs.ai · checked Aug 1, 2026 |
Foundation models
| Field | Blackbox AI | Goose |
|---|---|---|
| Model provider· | no public information blackbox.ai · checked Aug 7, 2026 | “Works with 15+ providers — Anthropic, OpenAI, Google, Ollama, OpenRouter, Azure, Bedrock, and more.”goose-docs.ai · checked Aug 1, 2026 |
| Model swappable· | no public information blackbox.ai · checked Aug 7, 2026 | “Use API keys or your existing Claude, ChatGPT, or Gemini subscriptions via ACP .”goose-docs.ai · 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 goose-docs.ai · checked Aug 1, 2026 |
Ecosystem
| Field | Blackbox AI | Goose |
|---|---|---|
| Protocols supported· | “Model Context Protocol MCP is the open standard for connecting AI agents to tools and data sources.”goose-docs.ai · checked Aug 1, 2026 | |
| 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 | “Connect to 70+ extensions — databases, APIs, browsers, GitHub, Google Drive, and more — via the Model Context Protocol open standard.”goose-docs.ai · checked Aug 1, 2026 |
| Multi-agent· | no public information blackbox.ai · checked Aug 7, 2026 | “Subagents Spawn independent subagents to handle tasks in parallel — code review, research, file processing — keeping the main conversation clean.”goose-docs.ai · checked Aug 1, 2026 |
| API access· | no public information blackbox.ai · checked Aug 7, 2026 | “Desktop app, CLI, and API — for code, workflows, and everything in between.”goose-docs.ai · checked Aug 1, 2026 |
| Open source· | no public information blackbox.ai · checked Aug 7, 2026 |
Impact
| Field | Blackbox AI | Goose |
|---|---|---|
| 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 | |
| Target sectors· | no public information goose-docs.ai · checked Aug 1, 2026 |
Disclosed by neither
Both Blackbox AI and Goose publish nothing on these 32 fields. That is a finding about the category rather than a difference between them, so it is recorded here instead of as 32 identical table rows. Each is shown with its source check on the individual profiles.
- Autonomy level
- Human oversight
- Goal complexity
- Action space
- Initiative
- High-risk domains
- Documented incidents
- Supported regions
- Support model
- Base models
- Fine-tuning
- Context window
- Marketplace presence
- Safety evaluations
- Red teaming
- Usage restrictions
- Model or system card
- Incident reporting
- Data handling
- Insurance available
- Insurance carriers
- Coverage limits
- Indemnification
- Liability cap
- Tamper-evident log
- Explainability
- Compliance certifications
- Regulatory alignment
- Outcome-based pricing
- Settlement mechanism
- Dispute process
- SLA terms
Questions
- How do Blackbox AI and Goose compare on target sectors?
- Blackbox AI: ENTERPRISE. Goose: no public information disclosed.
- How do Blackbox AI and Goose compare on pricing model?
- Blackbox AI: Per-token Enterprise commits. Goose: no public information disclosed.
- How do Blackbox AI and Goose compare on price point?
- Blackbox AI: $1.40, $1.90, $0.74, $0.32, $0.60. Goose: no public information disclosed.
- How do Blackbox AI and Goose compare on open weights?
- Blackbox AI: open-weight model. Goose: no public information disclosed.