DeepSeek V4.1 Flash

Try DeepSeek V4.1 Flash in the Workbench

Run this model interactively, tune parameters, and compare outputs.

Model ID: deepseek-v4-1-flash DeepSeek V4.1 Flash is a natively multimodal Mixture-of-Experts model built for coding, reasoning, and long-horizon agent tasks. It is the cost-efficient tier of the V4.1 family, and DeepSeek reports it ahead of V4 Pro on quality, speed, cost, and total task completion time, with V4 Flash and V4 Pro both retired in its favor. The model uses DeepSeek’s Causal Encoder-Decoder architecture, which activates 8B parameters while reading input and 16B while generating output, and compresses the KV cache to roughly a quarter of V4 Flash’s footprint. It reads images and text through a DeepSeek-ViT vision encoder and supports a 1M-token context window, tool use, structured outputs, and a continuously adjustable reasoning-effort setting (1-100) that trades inference cost for accuracy. Pretraining covers 45T multimodal tokens, followed by SFT, RL, and on-policy distillation post-training. Weights are published under the MIT license.

Metric	Value
Parameter Count	552 billion
Mixture of Experts	Yes
Active Parameter Count	8 billion (prefill) / 16 billion (decode)
Context Length	1,048,576 tokens
Max Output	384,000 tokens
Multilingual	Yes
Tool Use	Yes
Structured Outputs	Yes

Example request

Use the Workbench as a request builder: configure parameters for this model in the UI, then open the API tab to copy the exact cURL or Python call.

Minimal
Basic parameters
All parameters

curl -X POST https://hub.oxen.ai/api/ai/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "deepseek-v4-1-flash",
  "messages": [
    {
      "role": "user",
      "content": "Hello, what can you do?"
    }
  ]
}'

import os
import requests

response = requests.post(
    "https://hub.oxen.ai/api/ai/chat/completions",
    headers={
        "Content-Type": "application/json",
        "Authorization": f"Bearer {os.environ['OXEN_API_KEY']}",
    },
    json={
        "model": "deepseek-v4-1-flash",
        "messages": [
            {
                "role": "user",
                "content": "Hello, what can you do?"
            }
        ]
    },
)
response.raise_for_status()
print(response.json())

curl -X POST https://hub.oxen.ai/api/ai/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "deepseek-v4-1-flash",
  "messages": [
    {
      "role": "user",
      "content": "Hello, what can you do?"
    }
  ],
  "temperature": 0.7,
  "max_tokens": 1024,
  "stream": false
}'

import os
import requests

response = requests.post(
    "https://hub.oxen.ai/api/ai/chat/completions",
    headers={
        "Content-Type": "application/json",
        "Authorization": f"Bearer {os.environ['OXEN_API_KEY']}",
    },
    json={
        "model": "deepseek-v4-1-flash",
        "messages": [
            {
                "role": "user",
                "content": "Hello, what can you do?"
            }
        ],
        "temperature": 0.7,
        "max_tokens": 1024,
        "stream": false
    },
)
response.raise_for_status()
print(response.json())

curl -X POST https://hub.oxen.ai/api/ai/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "deepseek-v4-1-flash",
  "messages": [
    {
      "role": "user",
      "content": "Hello, what can you do?"
    }
  ],
  "temperature": 0.7,
  "max_tokens": 1024,
  "stream": false,
  "top_p": 1.0
}'

import os
import requests

response = requests.post(
    "https://hub.oxen.ai/api/ai/chat/completions",
    headers={
        "Content-Type": "application/json",
        "Authorization": f"Bearer {os.environ['OXEN_API_KEY']}",
    },
    json={
        "model": "deepseek-v4-1-flash",
        "messages": [
            {
                "role": "user",
                "content": "Hello, what can you do?"
            }
        ],
        "temperature": 0.7,
        "max_tokens": 1024,
        "stream": false,
        "top_p": 1.0
    },
)
response.raise_for_status()
print(response.json())

Fetch model details

The models endpoint returns the full model object, including its json_request_schema.

curl -H "Authorization: Bearer $OXEN_API_KEY" https://hub.oxen.ai/api/ai/models/deepseek-v4-1-flash

Request parameters

This model follows the standard OpenAI chat completions request body. See the chat completions reference for the full parameter list.

Try DeepSeek V4.1 Flash in the Workbench

​Example request

​Fetch model details

​Request parameters

Example request

Fetch model details

Request parameters