A side-by-side comparison of DeepSeek-V4.1-Flash and Kimi K2.8 Preview: input/output pricing, capabilities and available endpoints, served live from openbat.ai. Both are reachable with the same API key.
| Item | DeepSeek-V4.1-Flash | Kimi K2.8 Preview |
|---|---|---|
| Input (per 1M tokens) | $0.165 | $0.55 |
| Output (per 1M tokens) | $0.66 | $2.2 |
| Cache read explicit (per 1M tokens) | $0.0165 | $0.1375 |
| Item | DeepSeek-V4.1-Flash | Kimi K2.8 Preview |
|---|---|---|
| Context window | 1,000,000 | 1,048,576 |
| Max output | 393,216 | 131,072 |
| Item | DeepSeek-V4.1-Flash | Kimi K2.8 Preview |
|---|---|---|
| function_calling | — | Yes |
| prompt_caching | Yes | Yes |
| reasoning | Yes | Yes |
| thinking | Yes | — |
| web_search | — | Yes |
On input, DeepSeek-V4.1-Flash is cheaper ($0.165 vs $0.55 per 1M tokens). On output, DeepSeek-V4.1-Flash is cheaper ($0.66 vs $2.2 per 1M tokens). All prices are per million tokens in USD.
Kimi K2.8 Preview does — DeepSeek-V4.1-Flash accepts 1,000,000 input tokens and Kimi K2.8 Preview accepts 1,048,576.
both support prompt_caching, reasoning; only DeepSeek-V4.1-Flash supports thinking; only Kimi K2.8 Preview supports function_calling, web_search.
Yes. Both are available on openbat.ai through one API key and the same OpenAI-compatible endpoint — switching means changing the model field from "deepseek-v4.1-flash" to "kimi-k2.8-preview", nothing else.
Both are available on openbat.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.