Blackbox AI vs OpenCode
55 fields both were evaluated on, 25 of them different — including where one discloses something the other does not. Every value links to the document it came from. 30 further fields are disclosed by neither and are listed at the end rather than tabled.
Assurance
| Field | Blackbox AI | OpenCode |
|---|---|---|
| Compliance certifications· | no public information blackbox.ai · checked Sep 24, 2026 | SOC 2 Type 1 and Type 2 compliant “SOC 2 Type 2 Compliant SOC 2 Type 1 Compliant”trust.opencode.ai · checked Sep 21, 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 opencode.ai · checked Aug 7, 2026 |
Agency
| Field | Blackbox AI | OpenCode |
|---|---|---|
| Human oversight· | No human review of prompts/outputs by default; can be negotiated per contract on the Enterprise API. “NO HUMAN REVIEW Negotiated per contract”blackbox.ai · checked Sep 24, 2026 | no public information opencode.ai · checked Aug 7, 2026 |
| Operating environment· | no public information blackbox.ai · checked Sep 24, 2026 | terminal, IDE, or desktop “OpenCode is an open source agent that helps you write code in your terminal, IDE, or desktop.”opencode.ai · checked Aug 7, 2026 |
Safety
| Field | Blackbox AI | OpenCode |
|---|---|---|
| Red teaming· | no public information blackbox.ai · checked Sep 24, 2026 | Third-party penetration test conducted, report available in trust center “Anomaly Penetration Test Report.pdf”trust.opencode.ai · checked Sep 21, 2026 |
| Incident reporting· | no public information blackbox.ai · checked Sep 24, 2026 | Formal policy covers incident response and breach notification “Incident Response & Breach Notification”trust.opencode.ai · checked Sep 21, 2026 |
| Data handling· | Zero data retention, stated as enforced at the gateway on routed traffic. “0 DATA RETENTION · ENFORCED AT THE GATEWAY”blackbox.ai · checked Sep 24, 2026 | “Built for privacy first [*] OpenCode does not store any of your code or context data”opencode.ai · checked Aug 7, 2026 |
Practicality
| Field | Blackbox AI | OpenCode |
|---|---|---|
| Pricing model· | Per-token Enterprise commits “Per-token Enterprise commits · rates improve with spend”blackbox.ai · checked Aug 7, 2026 | no public information opencode.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 24, 2026 and this quote was not there. How we re-check citations | no public information opencode.ai · checked Aug 7, 2026 |
| Availability· | Desktop app is offered as a beta download; no availability status is stated for the CLI “Download the desktop beta now”opencode.ai · checked Aug 7, 2026 Not in our latest capture. We captured this page again on Sep 23, 2026 and this quote was not there. How we re-check citations | |
| Deployment options· | Single-tenant deployment on the vendor's own GPUs, isolated to the individual customer. “Single-tenant · isolated to you”blackbox.ai · checked Sep 24, 2026 | macOS, Windows, and Linux “Available on macOS, Windows, and Linux . Download now”opencode.ai · checked Aug 7, 2026 Not in our latest capture. We captured this page again on Sep 23, 2026 and this quote was not there. How we re-check citations |
| 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 24, 2026 and this quote was not there. How we re-check citations | Models.dev “Any model 75+ LLM providers through Models.dev, including local models”opencode.ai · checked Aug 7, 2026 |
Foundation models
| Field | Blackbox AI | OpenCode |
|---|---|---|
| Base models· | Routes to 300+ open-weight models that the vendor itself hosts, rather than running a proprietary in-house foundation model. “The Blackbox Router connects you to the 300+ models that we host, with zero data retention and no training.”blackbox.ai · checked Sep 24, 2026 | Claude, GPT, Gemini “connect any model from any provider, including Claude, GPT, Gemini and more.”opencode.ai · checked Aug 7, 2026 |
| Model provider· | Supplies access to third-party models from multiple labs (Moonshot AI, Z.ai, Alibaba, and others) rather than a single in-house model. “moonshotai kimi-k3 Text 1M $3.00 DEPLOY zai glm-5.3 Text 1M $1.40 DEPLOY alibaba qwen3.8-max Text 262K $2.00 DEPLOY”blackbox.ai · checked Sep 24, 2026 | any provider, including Claude, GPT, Gemini “connect any model from any provider, including Claude, GPT, Gemini and more.”opencode.ai · checked Aug 7, 2026 |
| Model swappable· | Yes — customers can switch among 300+ routed models via one OpenAI-compatible endpoint without changing integration code. “One OpenAI-compatible endpoint. Change the base URL and keep your code.”blackbox.ai · checked Sep 24, 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 opencode.ai · checked Aug 7, 2026 |
| Context window· | 128k-token context window shown in a live CLI session example. “tokens 7.6k/128k (6%)”blackbox.ai · checked Sep 24, 2026 | no public information opencode.ai · checked Aug 7, 2026 |
Ecosystem
| Field | Blackbox AI | OpenCode |
|---|---|---|
| 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 24, 2026 and this quote was not there. How we re-check citations | no public information opencode.ai · checked Aug 7, 2026 |
| Multi-agent· | no public information blackbox.ai · checked Sep 24, 2026 | Start multiple agents in parallel on the same project “Multi-session Start multiple agents in parallel on the same project”opencode.ai · checked Aug 7, 2026 |
| API access· | Yes - a public OpenAI-compatible REST API with streaming. “OpenAI-compatible REST and streaming”blackbox.ai · checked Sep 24, 2026 | no public information opencode.ai · checked Aug 7, 2026 |
| Open source· | no public information blackbox.ai · checked Sep 24, 2026 |
Impact
| Field | Blackbox AI | OpenCode |
|---|---|---|
| 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 24, 2026 and this quote was not there. How we re-check citations | Reports 195,000 GitHub stars, 950 contributors and 13,000+ commits alongside 16M monthly developers. The repository counts are checkable on GitHub; the 16M developer figure is the vendor's own, with no counter named “With over 195,000 GitHub stars, 950 contributors, and over 13,000 commits, OpenCode is used and trusted by over 16M developers every month.”opencode.ai · checked Aug 7, 2026 Not in our latest capture. We captured this page again on Sep 23, 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 24, 2026 and this quote was not there. How we re-check citations | no public information opencode.ai · checked Aug 7, 2026 |
| Target sectors· | no public information opencode.ai · checked Aug 7, 2026 |
Disclosed by neither
Both Blackbox AI and OpenCode publish nothing on these 30 fields. That is a finding about the category rather than a difference between them, so it is recorded here instead of as 30 identical table rows. Each is shown with its source check on the individual profiles.
- Autonomy level
- Goal complexity
- Action space
- Initiative
- High-risk domains
- Documented incidents
- Supported regions
- Support model
- Fine-tuning
- Marketplace presence
- Safety evaluations
- Safety policy
- Usage restrictions
- Model or system card
- Third-party evaluations
- Insurance available
- Insurance carriers
- Coverage limits
- Indemnification
- Liability cap
- Audit trail
- Tamper-evident log
- Explainability
- Runtime governance
- Permission scopes
- Regulatory alignment
- Outcome-based pricing
- Settlement mechanism
- Dispute process
- SLA terms
Questions
- How do Blackbox AI and OpenCode compare on human oversight?
- Blackbox AI: No human review of prompts/outputs by default; can be negotiated per contract on the Enterprise API.. OpenCode: no public information disclosed.
- How do Blackbox AI and OpenCode compare on operating environment?
- Blackbox AI: no public information disclosed. OpenCode: terminal, IDE, or desktop.
- How do Blackbox AI and OpenCode compare on user base?
- Blackbox AI: 5M+ developers, including engineers at the world's largest companies. OpenCode: Reports 195,000 GitHub stars, 950 contributors and 13,000+ commits alongside 16M monthly developers. The repository counts are checkable on GitHub; the 16M developer figure is the vendor's own, with no counter named.
- How do Blackbox AI and OpenCode compare on deployment scale?
- Blackbox AI: 5M+ developers, including engineers at the world's largest companies. OpenCode: no public information disclosed.
- How do Blackbox AI and OpenCode compare on target sectors?
- Blackbox AI: ENTERPRISE. OpenCode: no public information disclosed.
- How do Blackbox AI and OpenCode compare on pricing model?
- Blackbox AI: Per-token Enterprise commits. OpenCode: no public information disclosed.