DeepSeek V4 Flash 0731 on Together AI

DeepSeek V4 · DeepSeek

ServerlessProvisioned
Open Source

Last refreshed 2026-10-19. Next refresh: weekly.

Why use DeepSeek V4 Flash 0731 on Together AI?

Together AI offers DeepSeek V4 Flash 0731 with pay-as-you-go pricing at $0.14/1M input tokens. Together AI is a platform for running open-source and proprietary LLMs with fast serverless and dedicated endpoints at competitive inference pricing.

Compare DeepSeek V4 Flash 0731 across 4 providers to find the best fit for your use case
Input / 1M
$0.14
Output / 1M
$0.28
Cache
read $0.030
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install together
Auth
export TOGETHER_API_KEY=...
Call
from together import Together
client = Together()  # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
    model="deepseek-ai/DeepSeek-V4-Flash-0731",
Model ID
deepseek-ai/DeepSeek-V4-Flash-0731

Request example

from together import Together

client = Together()  # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
    model="deepseek-ai/DeepSeek-V4-Flash-0731",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

  • Use provider model ID "deepseek-ai/DeepSeek-V4-Flash-0731", not the LLMReference slug "deepseek-v4-flash-0731".
  • Together uses "organization/model-name" format, e.g. "meta-llama/Llama-4-Scout-17B-16E-Instruct" or "Qwen/QwQ-32B". See the Together model catalog for the exact ID.
  • The examples expect TOGETHER_API_KEY; rename it only if your application config maps the new variable.

Compare DeepSeek V4 Flash 0731 Across Providers

ProviderInput (per 1M)Output (per 1M)
OpenRouter$0.13$0.39
Vercel AI Gateway$0.08$0.15
Together AI$0.14$0.28
Fireworks AI——

Pricing

TypePrice (per 1M)
Input tokens$0.14
Output tokens$0.28

Capabilities

Reasoning

About DeepSeek V4 Flash 0731

DeepSeek V4 Flash 0731 is the official (post-preview) DeepSeek V4 Flash release, launched on the DeepSeek API in public beta on 2026-07-31 with upgraded agent capabilities. DeepSeek says it keeps the same architecture and size as the April preview. MIT-licensed open weights are on Hugging Face as DeepSeek-V4-Flash-0731.

Get Started

Model Specs

Released2026-07-31
ArchitectureMixture of Experts

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