A side-by-side comparison of Gemini 4 Argon and Kimi K2.8 Preview: input/output pricing, capabilities and available endpoints, served live from 服务云AI. Both are reachable with the same API key.
| Item | Gemini 4 Argon | Kimi K2.8 Preview |
|---|---|---|
| Input (per 1M tokens) | $1.5 | $0.5 |
| Output (per 1M tokens) | $7.5 | $2 |
| Cache read implicit (per 1M tokens) | $0.075 | — |
| Cache read explicit (per 1M tokens) | — | $0.125 |
| Item | Gemini 4 Argon | Kimi K2.8 Preview |
|---|---|---|
| Context window | 1,048,576 | 1,048,576 |
| Max output | 65,536 | 131,072 |
| Item | Gemini 4 Argon | Kimi K2.8 Preview |
|---|---|---|
| audio_input | Yes | — |
| function_calling | Yes | Yes |
| prompt_caching | Yes | Yes |
| reasoning | — | Yes |
| vision | Yes | — |
| web_search | — | Yes |
On input, Kimi K2.8 Preview is cheaper ($1.5 vs $0.5 per 1M tokens). On output, Kimi K2.8 Preview is cheaper ($7.5 vs $2 per 1M tokens). All prices are per million tokens in USD.
both support function_calling, prompt_caching; only Gemini 4 Argon supports audio_input, vision; only Kimi K2.8 Preview supports reasoning, web_search.
Yes. Both are available on 服务云AI through one API key and the same OpenAI-compatible endpoint — switching means changing the model field from "gemini-4-argon" to "kimi-k2.8-preview", nothing else.
Both are available on 服务云AI under one API key — switching between them means changing the model field and nothing else, so you can use each where it fits rather than picking one.