OpenAI Codex Mini is cheaper than GLM 5.3 Prime at $1.5/M vs $2.8/M input tokens.
Hex grid you can resize with a slider. Geometry plus state.
Which answer wins?
Not enough votes to call it. On the specs, GLM 5.3 Prime has the edge: bigger model tier, newer, bigger context window.
| Spec | ||
|---|---|---|
| Input price | $1.5/M tokens | $2.8/M tokens |
| Output price | $6/M tokens | $8.8/M tokens |
| Context window | 200K tokens | 1.0M tokens |
| Free API (OpenRouter) | No | No |
| Released | May 2025 | Sep 2026 |
| At 10M a month | $15.00 | $28.00 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 30 Sep 2026.
OpenAI Codex Mini is developed by OpenAI while GLM 5.3 Prime is developed by Z.ai. OpenAI Codex Mini has a 200K token context window vs GLM 5.3 Prime's 1.0M. You can compare their actual outputs across 1 challenges on Rival to see how they differ in practice.
It depends on your use case. OpenAI Codex Mini and GLM 5.3 Prime each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 1 challenges so you can judge which fits your needs best.
OpenAI Codex Mini costs $1.5/M input tokens and GLM 5.3 Prime costs $2.8/M input tokens. OpenAI Codex Mini is $1.30/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.
This page shows a side-by-side comparison of OpenAI Codex Mini and GLM 5.3 Prime 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.