Dipole ML Inc. vs OpenLLM
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Dipole ML Inc. compared with OpenLLM
| Detail | 
Dipole ML Inc. | 
OpenLLM |
|---|
| What it does | Canada's sovereign frontier AI lab building the Raven models and DCode
| Local LLM routing layer for Claude Code, Codex, and OpenCode
|
|---|
| Stage | Startup
| Startup
|
|---|
| Founded | 2026
| Not given
|
|---|
| Based in | CA
| US
|
|---|
| Pricing model | Freemium
| Freemium
|
|---|
| Pricing | Raven Free (free forever with automatically replenishing limits), Pro ($20/month or $200/year, Founder $160/year), Ultra ($100/month or $1,000/year, Founder $800/year). DCode Coding Plan $29/month (Founder $230/year). API: Raven Flash $0.50 per 1M input tokens, $2.50 per 1M output tokens; Raven Max
| Free: $0 per month with 50M tokens a month and 2 connected devices. Pro: $30 per month with unlimited tokens and 5 connected devices.
|
|---|
| Key features | - Native multimodal vision for diagrams, schematics, and error logs
- Autonomous tool execution with structured receipts
- Inspectable reasoning streams in real time
- 1M token context length
- OpenAI and Anthropic SDK compatibility
- Automatic prompt caching with up to 90% input cost savings
- Model Context Protocol (MCP) support
- Canadian sovereign compute and PIPEDA compliance
- Real-time streaming and sub-second latency
- Prepaid credits that never expire
| - Routes to 293 models from 24 providers
- Automatic fallback across providers
- Included inference on all plans
- End-to-end encrypted key vault
- Shared memory across agents
- OpenAI and Anthropic compatible APIs
- Context.dev integration for web data
- Works with Claude Code, Codex, OpenCode and other tools
- Browser chat with voice transcription
- Cost and usage analytics
|
|---|
| What makes it different | - Independent frontier AI built and served from Canada with statutory PIPEDA data privacy
- Inspectable reasoning streams for transparent, auditable AI decisions
- #1 ranked on Terminal Bench, Agent's Last Exam, and AutomationBench benchmarks
- Bootstrapped from first principles without venture capital
- Unified continuous architecture across multiple frontier models
| - First request works with no setup or keys required
- All your keys and models accessible through one layer
- Zero-knowledge encryption keeps your keys private
- Users can bring their own AI to power your apps
- No code changes required to route through OpenLLM
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 25 ● no change since last check |
|---|
| Trust Flow (Majestic) | 0 | 4 |
|---|
| Citation Flow (Majestic) | 15 | 25 |
|---|
| Referring domains (Majestic) | 1 | 38 |
|---|
7 details filled in for both companies.
More alternatives to Dipole ML Inc. More alternatives to OpenLLM