Local vs TokenGO
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Local compared with TokenGO
| Detail | 
Local | 
TokenGO |
|---|
| What it does | Private AI that runs on your Mac
| Self-operated inference API for open-weight LLMs and video models
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| Stage | Not given
| Not given
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| Founded | Not given
| Not given
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| Based in | AU
| US
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| Pricing model | Free
| Paid
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| Pricing | Not given
| Standard (pay-as-you-go, under $1K/month): List price with unified API, cost monitoring, usage limits, unlimited seats. Growth ($1K-$15K/month): 20% volume discount, quarterly billing, priority support, SLA. Scale ($15K-$40K/month): 30% volume discount, dedicated support, DPA. Custom ($40K+/month):
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| Key features | - Chat with files
- Code editing and execution
- Meeting transcription with speaker labels
- Editable memory for personal facts
- Automatic model selection by hardware
- Token and speed analytics
- Office mode for shared access
- Optional cloud model integration
- Privacy mode preventing any data transmission
- BaseRT hardware-specific compilation
| - Zero-retention privacy policy
- Smart routing optimization
- Hardware adaptation per request
- Inference engine kernel optimization
- KV cache layer for token reuse
- Unified API across model catalog
- Cost and usage monitoring
- Volume-based tiered discounting
- Data Processing Agreement available
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| What makes it different | - 5.4x faster than other local AI apps through hardware-optimized BaseRT engine
- Zero cost per token with no cloud dependency or accounts required
- Automatic model matching to your Mac's specific memory and processor
- Complete data privacy with nothing leaving your device
- Offline operation after initial app and model download
| - Single API key for access to leading models like DeepSeek, Kimi, and Qwen
- Enterprise uptime and service guarantees without separate integrations
- Zero-retention privacy with US governance and DPA support
- Cost-efficiency through kernel optimization adopted by frontier labs
- No integration rewrite required for teams already using OpenAI-compatible APIs
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 22 ● no change since last check | 17 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 4 |
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| Citation Flow (Majestic) | 32 | 27 |
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| Referring domains (Majestic) | 171 | 77 |
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5 details filled in for both companies.
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