MODEL PROFILE

DeepSeek V4.1 Flash 1017 (Max)

DeepSeek · deepseek-v4-1-flash-1017

deepseek-v4.1-flash-1017 is the October 17 snapshot version of DeepSeek V4.1 Flash, a MoE multimodal model that supports text-and-image input, tool invocation, and million-token-long context. It comes with a built-in thinking mode and is designed for high throughput and cost-effectiveness, making it ideal for agent tasks, coding, long documents, and image understanding scenarios.

Text generationreasoningstructured_outputstools
Context window1,000,000 Token
Input → OutputText、Image → Text
Model weightsOpen weights
Profile updated2026/11/2 19:16:45
OVERVIEW

Model overview

deepseek-v4.1-flash-1017 is the October 17 snapshot version of DeepSeek V4.1 Flash, a MoE multimodal model that supports text-and-image input, tool invocation, and million-token-long context. It comes with a built-in thinking mode and is designed for high throughput and cost-effectiveness, making it ideal for agent tasks, coding, long documents, and image understanding scenarios.

The summary below is compiled from sources by an AI model, not our own testing. Verify selection decisions against original sources and your workload.

Key features

  • Supports multi-modal text-and-image input and has image understanding capabilities.
  • Built-in thinking modes and tool invocation capabilities, tailored for Agent scenarios.
  • Supports million-level long context (1,000,000 tokens), suitable for processing long documents.

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

Source / channelInputOutputBilling unitCollected at
OpenRouter · deepseek/deepseek-v4.1-flash-1017 ↗USD 0.15USD 0.6Per million tokens2026/11/2 06:25:21
Apilio · default ↗Not verifiedNot verified渠道倍率待核验2026/11/2 06:25:12
Apilio · 国产特价 ↗Not verifiedNot verified渠道倍率待核验2026/11/2 06:25:12
Artificial Analysis · Max ↗USD 0.3USD 1.2Per million tokens2026/11/2 06:30:46
OpenRouter · deepseek/deepseek-v4.1-flash-1017 · 阶梯定价
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  {
    "utc_days": [
      "saturday",
      "sunday"
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    "prompt": "0.00000015",
    "completion": "0.0000006",
    "input_cache_read": "0.000000003"
  },
  {
    "utc_days": [
      "monday",
      "tuesday",
      "wednesday",
      "thursday",
      "friday"
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    "prompt": "0.00000015",
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  },
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    "utc_days": [
      "monday",
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      "thursday",
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    "utc_start": 100,
    "utc_end": 400,
    "prompt": "0.0000003",
    "completion": "0.0000012",
    "input_cache_read": "0.000000006"
  },
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    "utc_days": [
      "monday",
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    "utc_start": 400,
    "utc_end": 600,
    "prompt": "0.00000015",
    "completion": "0.0000006",
    "input_cache_read": "0.000000003"
  },
  {
    "utc_days": [
      "monday",
      "tuesday",
      "wednesday",
      "thursday",
      "friday"
    ],
    "utc_start": 600,
    "utc_end": 1000,
    "prompt": "0.0000003",
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    "input_cache_read": "0.000000006"
  },
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    "utc_days": [
      "monday",
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    ],
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    "utc_end": 0,
    "prompt": "0.00000015",
    "completion": "0.0000006",
    "input_cache_read": "0.000000003"
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]

Some channels offer cache discounts. Check the source for cache read, write and additional fees.

Estimate monthly base token costs

—

Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.

INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

Terminal-Bench 4.00.34MaxArtificial Analysis ↗采集于 2026/11/2 06:30:46
AA Intelligence Index32.49MaxArtificial Analysis ↗采集于 2026/11/2 06:30:46
Time to first token1.10MaxArtificial Analysis ↗采集于 2026/11/2 06:30:46
Output speed174.98MaxArtificial Analysis ↗采集于 2026/11/2 06:30:46
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Frequently asked questions

Does DeepSeek V4.1 Flash 1017 support image input?

Yes, it supports image input and is a multimodal model.

Does this model have the capability to autonomously invoke external tools?

Yes, the tag explicitly includes 'tools', indicating support for tool invocation.

What is its exact context length?

The context length is 1,000,000 tokens (i.e., on the order of one million).

Do open weights permit free commercial use?

Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.

Are these real-time billing prices?

These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.

Sources & traceability

许可证:MIT。模型介绍与第三方评测均以原来源的具体版本和方法为准。