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DeepSeek V4.1 Flash

DeepSeek's open-weight model for fast coding agents that need image input and a long context, served on Boundless.

Pricing

DeepSeek V4.1 Flash API pricing by provider

ProviderInputCachedOutputContext
Boundless$0.20$0.01$1.001M
DeepSeekModel creator$0.15$0.003$0.601M
DeepInfra$0.14$0.004$0.421M
Fireworks$0.22$0.007$0.661M
Baseten$0.30$0.007$1.201M
Together$0.30$0.006$1.201M

Prices per 1M tokens. Source: OpenRouter

About the model

DeepSeek V4.1 Flash at a glance

DeepSeek V4.1 Flash is a 552B-parameter mixture-of-experts model for coding, reasoning, images and tool use. Its smaller KV cache can reduce costs on long-running requests that reuse context.

From our model docs
Developer
DeepSeek
Context window
1M tokens
Input
Text, image
Capabilities
Reasoning, tool use, vision

Tailored inference

Want DeepSeek V4.1 Flash tuned to your workload?

Our engineers benchmark it against your current model, tune how it's served for your traffic, and run it to your cost, latency and quality targets.

Talk to an engineer

Run it

Switch with a base URL and a key

  1. 01

    Get an API key

    Sign up in the console and create a key. No sales call.

    Get a key
  2. 02

    Point your SDK at Boundless

    Change the base URL and key. For Anthropic SDKs, drop the /v1 and set max_tokens.

curl https://api.inference.boundless.network/v1/chat/completions \
  -H "Authorization: Bearer $BOUNDLESS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-v4.1-flash",
    "messages": [{
      "content": "Say hello",
      "role": "user"
    }]
  }'
From the quickstart docs

FAQ

Questions before you commit

How much does DeepSeek V4.1 Flash cost on Boundless?

$0.20 per 1M input tokens, $0.01 per 1M cached input tokens and $1.00 per 1M output tokens, billed from prepaid credits. Every response includes exact token counts, so any charge can be checked against these prices.

What is DeepSeek V4.1 Flash's context window on Boundless?

1M tokens, shared by the prompt and the reply. max_tokens can go up to that limit.

Does DeepSeek V4.1 Flash support tool calling?

Yes. DeepSeek V4.1 Flash supports tool use and reasoning.

Can I control how much DeepSeek V4.1 Flash reasons?

Yes. On chat completions, set reasoning_effort to none, low, medium or high, or leave it unset for the model's default. Size max_tokens for both the thinking and the reply.

Can DeepSeek V4.1 Flash read images?

Yes. DeepSeek V4.1 Flash accepts text, image as input.

What are the rate limits?

Each team has caps on tokens per minute, requests per minute and concurrent requests, shown on the usage page. Cached input doesn't count against them, and support can raise them for your team.

Does Boundless store my prompts or outputs?

No. Boundless never stores prompts or outputs and never trains on them. It keeps only what billing needs: token counts, model, timestamp and cost.

Can Boundless help me decide if DeepSeek V4.1 Flash fits my workload?

Yes. We test it against your current model on your own prompts, then tune and run it to your targets.

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