Head to head
New LLM Release Tracker — buy per-query in-session (llmwatch) vs Maginary
Same numbers we show everywhere else, lined up. Ratings come from users, the grade comes from our scanner, adoption comes from public registries.
New LLM Release Tracker — buy per-query in-session (llmwatch)
Ccom.a2awire/data-llm-release-model-availability-trackerNo reviews yet
LLM releases: new models, availability, context. Register in-session — free testnet funds.
Full listing
No reviews yet
AI image + video generation for agents: --flag prompt DSL, async generate/poll, x402 pay-per-use.
Full listingThe short version
Neither has been reviewed yet, so the comparison rests on the scan and the public usage numbers. The safety scan favours Maginary (83/100 against 60). Maginary has noticeably more public adoption.
| New LLM Release Tracker — buy per-query in-session (llmwatch) | Maginary | |
|---|---|---|
| User rating | No reviews yet | No reviews yet |
| Safety grade | C60/100 | B83/100 |
| Adoption | New | Growing |
| GitHub stars | – | 1 |
| Downloads / week | – | 1.2k |
| Runs where | Hosted (remote) | Hosted (remote) |
| Gateway-ready | Yes | Yes |
| Tools | 16 | 16 |
| Write actions | 6 | 6 |
| Price per call | Free | Free |
| Licence | — | MIT |
| Last release | — | 2026-09-15 |
| Category | AI and agents | AI and agents |
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