DeepSeek V3 - Kyma API

Overview

DeepSeek V3 is the previous-generation flagship from DeepSeek, built for reasoning, coding, and general-purpose work. It sits in Kyma’s frontier-open quality tier, and its appeal is exactly what the label says: stable and proven — a fit for teams that value predictable behavior over chasing the latest checkpoint. Coding agents lead its traffic, followed by direct Python and Node.js integrations. Every request gets the platform’s automatic failover, and each response reports its exact cost in usage.cost. The 160K-token context window pairs with function calling, structured outputs, and extended reasoning, so it can run multi-step agent loops, not just single-turn chat. It sits in the frontier-open tier as the value pick — see the pricing table above for the current rate.

Specs

Field	Value
Model ID	`deepseek-v3`
Best for	Reasoning, coding, general
Context window	160,000
Max output tokens	8K
Input modalities	Text
Output modalities	Text
Tool calling	Yes
Structured outputs	Yes
Prompt caching	No
Speed	Medium
Cost band	Cheap
Release stage	Stable

Pricing

	Per 1M tokens
Input	$0.35
Output	$0.51

Use this when

Coding agents — Its top production app on Kyma by tokens is OpenClaw, a coding agent — code generation, review, and refactoring inside agent harnesses.
Reasoning pipelines — Extended reasoning support handles analysis and planning tasks that need more than pattern matching.
Cost-conscious production — Frontier-open quality at balanced pricing makes it a sensible default for high-volume general workloads where value matters.
Structured extraction — Structured outputs plus the 160K context let it pull reliable JSON from long documents and codebases in one pass.
Tool-calling backends — Function calling support makes it a dependable engine behind Python and Node.js services that orchestrate tools.

Not ideal for

Image inputs (it’s text-only), latency-critical UX where its medium speed tier shows, or single responses longer than the 8K output cap.

Pick something else when

You want the strongest default quality: use qwen-3.6-plus.
You need deeper reasoning specifically: use deepseek-r1.
You need multimodal or vision input: use kimi-k2.6 or gemma-4-31b.

Example

from openai import OpenAI

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

response = client.chat.completions.create(
    model="deepseek-v3",
    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 V3 good for coding? Yes — coding is one of its recommended workloads, and its top app on Kyma by tokens is OpenClaw, a coding agent. Tool calling plus structured outputs keep agent loops on track. The 8K output cap means very long single-file generations are better split into steps. Why pick a previous-generation flagship over something newer? Stability. DeepSeek V3 has served enough production traffic on Kyma for its behavior to be well understood. If your pipeline depends on consistent outputs more than peak capability, the proven option is often the right one — and it comes at balanced pricing. Why use DeepSeek V3 through Kyma? One API key covers this and every other model on the platform through an OpenAI-compatible endpoint. Every request gets automatic failover if a serving path degrades, every response includes its exact cost in usage.cost, and signup comes with $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