Models / DeepSeek V4.1 Flash

DeepSeek V4.1 Flash

Million-token multimodal intelligence with radically compressed KV cache

  • 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

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",
    "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",
  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',
  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 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

Endpoint:

deepseek-ai/DeepSeek-V4.1-Flash

About

DeepSeek V4.1 Flash is DeepSeek's multimodal Mixture-of-Experts model built around one idea pushed to its limit: compressing the KV cache. A Causal Encoder-Decoder architecture, 20 encoder layers followed by 20 decoder layers, lets the model activate just 8B of its 552B backbone parameters during prefill and 16B during decode, cutting cost on input-heavy agentic workloads. Compressed Sparse Attention 2 and FP4 KV caching shrink the global cache to 890 bytes per token, roughly a quarter of DeepSeek V4 Flash, across a 1M-token context. The model natively processes images and text, trained from scratch on 45T multimodal tokens, and reasoning effort is continuously adjustable from 1 to 100 per request. Across DeepSeek's published agentic suite it outperforms the far larger V4 Pro. 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

Performance benchmark

DeepSeek V4.1 Flash vs competitor closed-source models
GPQA diamond rating
90.9
DeepSeek V4.1 Flash
94.1%
GPT-5.6 Sol
93.2%
Claude Opus 5
93.1%
Grok 4.5
92.6%
Claude Fable 5
91.1%
GPT-5.6 Luna
Model specifications
  • Deployment
    Serverless
    Dedicated
  • Parameters
    552B
  • Context length
    1M
  • Input modalities
    Text
    Image
  • Output modalities
    Text
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Deployment options

Run models using different deployment options depending on latency needs, traffic patterns, and infrastructure control.

  • Serverless Inference

  • Provisioned Throughput

  • Dedicated Model Inference

  • Dedicated Container Inference

Serverless Inference

A fully managed real-time or batch inference API with access to dozens of the most popular AI models.

2.75x faster

Best for

Variable or unpredictable traffic

Rapid prototyping and iteration

Cost-sensitive or early-stage production workloads

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Provisioned Throughput

Reserved token capacity with SLA guarantees. Priced in PTUs, a normalized throughput unit.

up to 90% lower cost

Best for

Production workloads

Reliability guarantees

Predictable pricing

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Dedicated Model Inference

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

3.18x faster with ATLAS

Best for

Predictable or steady traffic

Latency-sensitive applications

High-throughput production workloads

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Dedicated Container Inference

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

100B+ params · 2–3x savings

Best for

Generative media models

Non-standard runtimes

Custom inference pipelines

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Customers running inference in production

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  • 6×

    cost reduction

  • <400ms

    p95 model latency

  • Weekly

    model deployments

"Low latency is especially important for voice because there’s a much higher UX bar. Together helped us push latency down by optimizing our models with techniques like speculative decoding, and they’ve been a reliable production partner — proactive about risks and fast when issues come up."

Max Lu

Head of Research, Decagon

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  • ~30%

    Cost savings

"Together has helped us deploy VyUI, our state-of-the-art computer AI model. We had multiple in-depth meetings where we brainstormed how we could satisfy our model's custom technical requirements while still leveraging Together's infrastructure for efficient, load-balanced inference."

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Co-founder, Vercept

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"Together AI offers optimized performance at scale, and at a lower cost than closed-source providers – all while maintaining strict privacy standards."

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CTO, The Washington Post

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Production-grade
security and data privacy

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.

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