Using DeepSeek V4 Flash 0731 on Together AI
Implementation guide · DeepSeek V4 · DeepSeek
Together AI exposes DeepSeek V4 Flash 0731 through model ID deepseek-ai/DeepSeek-V4-Flash-0731. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-10-19. Next refresh: weekly.
Quick Start
- 1
- 2Use the Together AI SDK or REST API to call
deepseek-ai/DeepSeek-V4-Flash-0731— see the documentation for request format. - 3
Code Examples
pip install togetherTOGETHER_API_KEYdeepseek-ai/DeepSeek-V4-Flash-0731Together 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.
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)Pricing on Together AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.14 |
| Output tokens | $0.28 |
Capabilities
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.