Inkling has a larger context window than Quasar Alpha (1.0M tokens vs 1.0M tokens).
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Not enough votes to call it. On the specs, Inkling has the edge: bigger model tier, newer.
| Spec | ||
|---|---|---|
| Input price | $1/M tokens | — |
| Output price | $4.05/M tokens | — |
| Context window | 1.0M tokens | 1.0M tokens |
| Weights | Open | — |
| Free API (OpenRouter) | Yes (1 provider) | — |
| Released | Jul 2026 | Apr 2025 |
| At 10M a month | $10.00 | not listed |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
Inkling is developed by Thinking Machines while Quasar Alpha is developed by OpenRouter. Inkling has a 1.0M token context window vs Quasar Alpha's 1.0M. You can compare their actual outputs across 6 challenges on Rival to see how they differ in practice.
It depends on your use case. Inkling and Quasar Alpha each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 6 challenges so you can judge which fits your needs best.
This page shows a side-by-side comparison of Inkling and Quasar Alpha across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.