reseller provider with 9 normalized prices.
External public summaries normalized by LLMTicker; not LLMTicker verified user reviews. LLMTicker recalculates reputation from public items instead of copying third-party ratings.
Review says AiHubMix makes OpenAI-compatible multi-model integration easy, while the aggregation layer still requires trust in a proxy.
Review says AiHubMix makes OpenAI-compatible multi-model integration easy, while the aggregation layer still requires trust in a proxy.
| Model | Input miss | Input hit | Output | Verified | Source |
|---|---|---|---|---|---|
| $10.00/ 1M missFresh | Not published | $30.00/ 1M outFresh | 4 m | AIHubMix pricing4 m | |
| $3.00/ 1M missFresh | $0.30/ 1M hitFresh | $15.00/ 1M outFresh | 4 m | AIHubMix pricing4 m | |
| $2.50/ 1M missFresh | Not published | $10.00/ 1M outFresh | 4 m | AIHubMix pricing4 m | |
| $0.55/ 1M missFresh | Not published | $2.19/ 1M outFresh | 4 m | AIHubMix pricing4 m | |
| $0.50/ 1M missFresh | Not published | $1.50/ 1M outFresh | 4 m | AIHubMix pricing4 m | |
| $0.25/ 1M missFresh | $0.03/ 1M hitFresh | $1.25/ 1M outFresh | 4 m | AIHubMix pricing4 m | |
| $0.27/ 1M missFresh | Not published | $1.10/ 1M outFresh | 4 m | AIHubMix pricing4 m | |
| $0.15/ 1M missFresh | Not published | $0.60/ 1M outFresh | 4 m | AIHubMix pricing4 m | |
| $0.04/ 1M missFresh | Not published | $0.16/ 1M outFresh | 4 m | AIHubMix pricing4 m |