AI//COST vs ModelRefs
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
AI//COST compared with ModelRefs
| Detail | 
AI//COST | M
ModelRefs |
|---|
| What it does | Independent pricing intelligence for LLM APIs across every major AI model
| The AI Reference Layer for Implementation Decisions
|
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| Stage | Startup
| Not given
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| Founded | 2026
| Not given
|
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| Based in | GB
| US
|
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| Pricing model | Free
| Freemium
|
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| Pricing | Not given
| Free tier: 1,000 API calls per month. Starter: $19/month. Pro: $49/month. Business: $199/month. Builder: $19/month with 1,000 task executions. Scale: $49/month with 5,000 task executions.
|
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| Key features | - 340 LLM models tracked across 35 providers
- Manual vendor-canonical price verification with dated timestamps
- Per-model pricing hubs with input, output, and cached-input rates
- AI agent cost analysis and pricing
- Public correction log and transparent methodology
- Blended effective cost calculation with configurable cache hit rates
| - Evidence API with citations and governed benchmark runs
- Knowledge Graph connecting models, providers, benchmarks and workflows
- Rate limiting and monthly API allowances
- MCP server for agent integration
- Bearer token authentication
- Reference profiles and implementation context
- Status and methodology visibility for evidence gaps
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| What makes it different | - Every number manually verified against vendor canonical pricing pages, never scraped or automated
- All prices dated and linked to the exact source URL checked
- Founder-verified editorial with published transparency on methodology and corrections
- Independent operator with no silent edits and public corrections log
| - Every benchmark score includes methodology limitations and claim scope so evidence cannot be presented without context
- Connected reference system organizing AI knowledge fragmented across announcements, docs and research
- All tiers access the same evidence base; differences are only in call volume and support
- Governance-aware methodology for compliance and risk review
- Free read access to all tutorial, reference and comparison content
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 26 ▲ +1 (up) since last check | 1 ● no change since last check |
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| Trust Flow (Majestic) | 14 | 2 |
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| Citation Flow (Majestic) | 32 | 17 |
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| Referring domains (Majestic) | 111 | 11 |
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5 details filled in for both companies.
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