DeepSeek V4 Flash

Overview

DeepSeek V4 Flash is the fast, cheap entry in DeepSeek’s V4 tier — a 284B mixture-of-experts model that sits in Kyma’s strong quality tier. It’s built as a value workhorse: general tasks, coding, and long-context jobs where you want most of the quality at a fraction of the cost. Coding agents are its biggest consumers by a wide margin. Every call gets Kyma’s automatic failover, and prompt caching is fully supported, so repeated prompt prefixes bill at this model’s cached input rate. Capability-wise it checks every box for agent work: a 1M-token context window, up to 65K tokens of output per request, function calling, structured outputs, and extended reasoning. Input and output are text-only.

Specs

Field	Value
Model ID	`deepseek-v4-flash`
Best for	General, coding, long context, value
Context window	1M
Max output tokens	66K
Input modalities	Text
Output modalities	Text
Tool calling	Yes
Structured outputs	Yes
Prompt caching	Yes
Speed	Fast
Cost band	Cheap
Release stage	Stable

Pricing

	Per 1M tokens
Input	$0.14
Output	$0.28

Use this when

Coding — A core recommended use, and where its production traffic goes — OpenClaw, Roo Code, and Cline are among its top apps on Kyma, with OpenClaw alone at roughly half its tokens.
Long-context analysis — The 1M-token window takes entire codebases, document collections, or long agent transcripts in one request.
High-volume pipelines — Cheap-tier pricing makes it a sensible default for background jobs, batch processing, and anything that runs thousands of times a day.
Structured agent backbones — Function calling plus structured outputs keep multi-step agents and extraction pipelines on schema.
Reasoning on a budget — Extended reasoning support handles planning and analysis steps without paying flagship rates.

Not ideal for

Image inputs — it’s text-only, so anything that needs to look at screenshots or photos should go to a vision model instead.

Pick something else when

You need the strongest V4 quality: use deepseek-v4-pro.
You want the best general default overall: use qwen-3.6-plus.
You want the previous-gen DeepSeek flagship at value pricing: use deepseek-v3.
You need vision / multimodal input: use gemma-4-31b or kimi-k2.6.

Example

from openai import OpenAI

client = OpenAI(base_url="https://kymaapi.com/v1", api_key="ky-...")

response = client.chat.completions.create(
    model="deepseek-v4-flash",
    messages=[{"role": "user", "content": "..."}],
    tools=[...],  # function calling supported
)

Agent query example

Ask the API which models fit, instead of hardcoding an id:

curl "https://kymaapi.com/v1/models?recommended_for=chat&tools=true&quality_tier=strong"

FAQ

Is DeepSeek V4 Flash good for coding agents? Yes — coding is one of its recommended uses, and Kyma’s production data backs it up: OpenClaw, Roo Code, and Cline are among its top apps by tokens. Function calling, structured outputs, and the 1M-token context let an agent hold a large codebase in view while making tool calls reliably. When should I pick V4 Flash over a flagship-tier model? When volume or context size matters more than squeezing out the last bit of quality. It sits in the strong quality tier at cheap-tier pricing, so it’s the better trade for high-frequency agent loops, batch jobs, and long-context work. If a task is a one-shot where peak output quality is everything, a flagship-tier model is worth the premium. Why use DeepSeek V4 Flash through Kyma? One API key and one OpenAI-compatible endpoint cover this and every other model on the platform. You get automatic failover when a serving path degrades, prompt caching on repeated prefixes, the exact cost of every request in usage.cost, and $0.50 of free credit to start — no card required.

Alias	Resolves to
`cheap`	`deepseek-v4-flash`

​Overview

​Specs

​Pricing

​Use this when

​Not ideal for

​Pick something else when

​Example

​Agent query example

​FAQ

​Related aliases