Overview
The model accepts text, image, audio, and video inputs, returning text outputs. It supports structured outputs, tool use, and reasoning, making it suitable for agentic workflows and standard chat applications. On Kyma, requests route through automatic failover paths and return exact billing in usage.cost. You can target it directly or use the fast and long-context aliases. Prompt caching applies to repeated prefixes, and the API remains fully OpenAI-compatible at https://kymaapi.com/v1. Output generation caps at 8,192 tokens per request. It runs in the fast speed tier and carries steady production volume on Kyma.Specs
Pricing
Use this when
- Multimodal Document Analysis — Ingests text, images, audio, and video to extract structured data or answer questions.
- High-Throughput Chat Agents — Handles rapid conversational turns with tool calling and reasoning at low latency.
- Long-Context Summarization — Processes up to one million input tokens to condense lengthy transcripts or logs.
- Real-Time Media Processing — Accepts audio and video inputs for fast transcription and content tagging.
Not ideal for
Do not use this model for tasks requiring outputs longer than 8,192 tokens, such as generating full-length books or extensive codebases in a single pass.Pick something else when
- You need deeper reasoning for complex logic or math: use
deepseek-r1. - You need lower input costs for massive batch jobs: use
deepseek-v4-flash.