DeepSeek V4 Pro - Kyma API

Overview

DeepSeek V4 Pro is DeepSeek’s flagship: a 1.6T mixture-of-experts model built for top-tier reasoning, complex coding, and long-context work. It sits in Kyma’s frontier-open quality tier at premium pricing — the option you pick when the task is hard enough that output quality pays for itself. On Kyma its traffic is led by coding agents. Every request gets automatic failover, and prompt caching is fully supported: repeated prompt prefixes bill at this model’s cached input rate, published beside its input rate tier, where agents resend long prompts on every turn. The 1M-token context window pairs with a 64K max output, function calling, structured outputs, and extended reasoning — headroom for very long inputs and long, structured generations.

Specs

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

Pricing

	Per 1M tokens
Input	$0.69
Output	$1.38

Use this when

Hard reasoning problems — A top-reasoning-tier model with extended reasoning, built for the math, planning, and analysis tasks where depth matters more than turnaround time.
Agentic coding — Coding agents already run production traffic through it on Kyma: OpenClaw is its top app by tokens, with Claude Code and Cline also in its top five.
Long-context work — The 1M-token window handles long documents, large specs, and large codebases in a single request.
Long structured generations — A 64K output ceiling plus structured outputs supports big refactors, detailed reports, and large JSON payloads.
Tool-driven pipelines — Function calling and structured outputs keep multi-step agent loops reliable when each step’s correctness compounds.

Not ideal for

Image inputs (it is text-only) or latency-sensitive, high-volume workloads — it is a medium-speed, premium-priced model, so bulk background tasks run faster and cheaper on a fast-tier model.

Pick something else when

You want a cheaper V4 option with the same family behavior: use deepseek-v4-flash.
You want the strongest agentic flagship: use kimi-k2.6.
You want the best general default at lower cost: use qwen-3.6-plus.
You only need the previous-gen DeepSeek flagship: use deepseek-v3.

Example

from openai import OpenAI

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

response = client.chat.completions.create(
    model="deepseek-v4-pro",
    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=frontier-open"

FAQ

Is DeepSeek V4 Pro good for coding agents? Yes — coding agents are a major share of its Kyma traffic. OpenClaw is its top app by tokens, with Claude Code and Cline also in its top five, and its combination of extended reasoning, function calling, and a 64K output ceiling suits long, multi-step code changes. For quick edits or high-volume background tasks, a cheaper, faster model usually makes more economic sense. How does DeepSeek V4 Pro perform in production on Kyma? It is a medium-speed model — pick it for output quality rather than latency, and lean on prompt caching to keep repeated prefixes at this model’s cached input rate. Why run DeepSeek V4 Pro through Kyma? One OpenAI-compatible endpoint and one key covers this and every other model on the platform. You get automatic failover when a serving path degrades, exact per-request cost in usage.cost, and prompt caching that bills repeated prefixes at this model’s cached input rate, which is published beside its input rate. Signup includes $0.50 of free credit, no card required.

​Overview

​Specs

​Pricing

​Use this when

​Not ideal for

​Pick something else when

​Example

​Agent query example

​FAQ