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DeepSeek LogoDeepSeek-V4.1-Flash

A 552B-parameter multimodal MoE model activating 8B/16B per token, with a 1M-token context for agentic workloads.

Model details

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DeepSeek-V4.1-Flash is a multimodal Mixture-of-Experts model with a 552B-parameter backbone, activating just 8B parameters per token during prefill and 16B during decoding. It natively processes images and text, supports a 1M-token context window, and introduces a Causal Encoder-Decoder architecture with Compressed Sparse Attention 2 to make long-context inference more efficient. Configurable reasoning-effort levels let developers trade latency and cost for deeper deliberation.

Compared with DeepSeek-V4-Flash-0731, DeepSeek-V4.1-Flash reduces the global KV-cache footprint by roughly 4× while delivering stronger coding, reasoning, and agentic performance. This makes it well suited to multimodal agents and input-heavy workloads that require long-context understanding without sacrificing inference efficiency.

Input
1import os
2from openai import OpenAI
3
4client = OpenAI(
5    base_url="https://inference.baseten.co/v1",
6    api_key=os.environ["BASETEN_API_KEY"],
7)
8
9response = client.chat.completions.create(
10    model="deepseek-ai/DeepSeek-V4.1-Flash",
11    messages=[
12        {"role": "user", "content": "<PROMPT>"},
13    ],
14    max_tokens=4096,
15    temperature=1,
16    top_p=0.95,
17    extra_body={
18        "chat_template_kwargs": {"thinking": True, "reasoning_effort": "high"}
19    },
20)
21
22message = response.choices[0].message
23print(message.reasoning_content)
24print(message.content)
JSON output
1{
2    "id": "chatcmpl-7f3a9c2e14b84d1e9a0c5b2f8d6e1a37",
3    "object": "chat.completion",
4    "created": 1785600000,
5    "model": "deepseek-ai/DeepSeek-V4.1-Flash",
6    "choices": [
7        {
8            "index": 0,
9            "message": {
10                "role": "assistant",
11                "reasoning_content": "<REASONING CONTENT>",
12                "content": "<RESPONSE CONTENT>"
13            },
14            "finish_reason": "stop"
15        }
16    ],
17    "usage": {
18        "prompt_tokens": 38,
19        "completion_tokens": 214,
20        "total_tokens": 252,
21        "completion_tokens_details": {
22            "reasoning_tokens": 61
23        }
24    }
25}

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