DeepSeek V4.1 Flash

Overview

DeepSeek released V4.1 Flash on 2026-09-10 as the successor to both V4 Flash and V4 Pro. Its card lists a 1M context window, thinking and non-thinking modes, JSON output, tool calls and image input. The lab’s own note says its results land ahead of V4 Pro and that its KV cache needs a quarter of the memory of the previous generation. On Kyma it is served through the OpenAI-compatible endpoint with automatic failover across three routes and exact cost reporting in the usage.cost field. Prompt caching is not exposed on the primary route, so every input token bills at the input rate. The weights are published under the MIT license. The output cap on Kyma is 131,072 tokens per request.

Specs

Field	Value
Model ID	`deepseek-v4.1-flash`
Best for	General, coding, long context, vision at value pricing
Context window	1.048576M
Max output tokens	131K
Input modalities	Text, Image
Output modalities	Text
Tool calling	Yes
Structured outputs	Yes
Prompt caching	No
Speed	Fast
Cost band	Cheap
Release stage	Stable

Pricing

	Per 1M tokens
Input	$0.27
Output	$0.81

Use this when

Coding — Tool calling and structured outputs with a 1M-token window put whole repositories in one request.
Vision at value pricing — Image input on a Flash-priced model — screenshots, diagrams and documents without moving to a flagship.
Long-context analysis — The 1M-token window takes document collections or long agent transcripts in a single call.
High-volume pipelines — Flash-band pricing suits background jobs and batch processing that run thousands of times a day.

Not ideal for

Prompt-cache-heavy workloads — the primary route publishes no cached-input rate, so repeated prefixes bill in full.

Pick something else when

You want the cheapest DeepSeek and can accept the previous checkpoint: use deepseek-v4-flash.
You want the best general default overall: use qwen-3.6-plus.

Example

from openai import OpenAI

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

response = client.chat.completions.create(
    model="deepseek-v4.1-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=frontier-open"

FAQ

How is DeepSeek V4.1 Flash different from V4 Flash? It is a newer checkpoint (2026-09-10) with native image input and a thinking mode, and DeepSeek says its results land ahead of V4 Pro. V4 Flash stays on Kyma as the cheaper previous checkpoint. Does it support images? Yes — image input is native. Send images the same way as any other vision model on the OpenAI-compatible endpoint. Why use DeepSeek V4.1 Flash through Kyma? One API key and one OpenAI-compatible endpoint cover this and every other model on the platform, with automatic failover across its three routes and the exact cost of every request in usage.cost.

​Overview

​Specs

​Pricing

​Use this when

​Not ideal for

​Pick something else when

​Example

​Agent query example

​FAQ