Models / DeepSeek V4.1 Flash 1017

DeepSeek V4.1 Flash 1017

Faster, leaner agentic work on DeepSeek's KV-compressed million-token model

  • Pay-as-you-go — no credit card to start

  • Drop-in OpenAI-compatible API

  • Match closed model quality at 80% lower cost

  • Drop-in OpenAI-compatible API

  • Match closed model quality at 80% lower cost

  • Served in the EU: your data stays in-region

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  • cURL
  • Python
  • Typescript

Endpoint:

deepseek-ai/DeepSeek-V4.1-Flash-1017

curl -X POST "https://api.together.xyz/v1/chat/completions" \
  -H "Authorization: Bearer $TOGETHER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-ai/DeepSeek-V4.1-Flash-1017",
    "messages": [
      {
        "role": "user",
        "content": "What are some fun things to do in New York?"
      }
    ]
}'

from together import Together

client = Together()

response = client.chat.completions.create(
  model="deepseek-ai/DeepSeek-V4.1-Flash-1017",
  messages=[
    {
      "role": "user",
      "content": "What are some fun things to do in New York?"
    }
  ]
)
print(response.choices[0].message.content)

import Together from 'together-ai';
const together = new Together();

const completion = await together.chat.completions.create({
  model: 'deepseek-ai/DeepSeek-V4.1-Flash-1017',
  messages: [
    {
      role: 'user',
      content: 'What are some fun things to do in New York?'
     }
  ],
});

console.log(completion.choices[0].message.content);
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Why DeepSeek V4.1 Flash 1017 on Together AI

We build for production workloads — not just demos

Leading price performance

Full-stack optimizations deliver higher throughput and lower latency than the leading open source implementations on identical hardware.

Run it your way

Serverless scales to your traffic with per token pricing. Dedicated gives you isolated GPUs tuned to your workload.

Backed by research
that ships

Inference performance is driven by continuous optimization across kernels, scheduling, and runtime systems.

DeepSeek V4.1 Flash 1017

Endpoint:

deepseek-ai/DeepSeek-V4.1-Flash-1017

About

DeepSeek V4.1 Flash 1017 is an update to DeepSeek V4.1 Flash, improving reasoning, coding, agentic, and visual performance while cutting task execution time and output length, so agent tasks finish faster and at lower cost. It keeps the V4.1 Flash architecture built around compressing the KV cache: a Causal Encoder-Decoder design activates just 8B of its 552B backbone parameters during prefill and 16B during decode, cutting cost on input-heavy agentic workloads, while Compressed Sparse Attention 2 and FP4 KV caching hold the global cache to 890 bytes per token across a 1M-token context. The model processes images and text natively, and reasoning effort is continuously adjustable from 1 to 100 per request. Released under the MIT license. Available on Together AI.

‍

Pricing

  • Input
    $0.30
    / 1M tokens
  • output
    $1.20
    / 1M tokens
  • cache
    $0.006
    / 1M cached
Model specifications
  • Deployment
    Serverless
    Dedicated
  • Parameters
    552B
  • Context length
    1M
  • Input modalities
    Text
    Image
  • Output modalities
    Text
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Reserved token capacity with SLA guarantees. Priced in PTUs, a normalized throughput unit.

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An inference endpoint backed by reserved, isolated compute resources and Together AI inference research.

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Run inference with your own engine and model on fully-managed, scalable infrastructure.

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We take security and compliance seriously, with strict data privacy controls to keep your information protected. Your data and models remain fully under your ownership, safeguarded by robust security measures.

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We take security and compliance seriously, with strict data privacy controls to keep your information protected. Your data and models remain fully under your ownership, safeguarded by robust security measures.