Model summary
DeepSeek V4.1 Flash 1017 (Max) is amongst the leading models in intelligence and reasonably priced when comparing to other open weight models of similar size. It's also notably fast, however very verbose. The model supports text and image input, outputs text, and has a 1M tokens context window.
DeepSeek V4.1 Flash 1017 (Max) scores 45 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (median: 19). When evaluating the Intelligence Index, it generated 210M tokens, which is very verbose in comparison to the median of 140M.
Pricing for DeepSeek V4.1 Flash 1017 (Max) is $0.30 per 1M input tokens (moderately priced, median: $0.43) and $1.20 per 1M output tokens (moderately priced, median: $1.68). On average, it costs $0.26 per task to evaluate DeepSeek V4.1 Flash 1017 (Max) on the Intelligence Index.
At 230 tokens per second, DeepSeek V4.1 Flash 1017 (Max) is notably fast (78).
| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text and image |
| Output modality | Supports: text |
| Context window | 1M ~1500 A4 pages of size 12 Arial font |
| Total parameters | 552B |
| Active parameters | 16B Number of parameters active per token during inference |
| License | [MIT](https://opensource.org/license/mit) |
| Model weights | [Hugging Face](https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017) |
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
-
Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
-
<$0.15 per 1M tokens
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$0.15–$1 per 1M tokens
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$1 per 1M tokens
Intelligence #
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Index vs. Cost per Task
Measures the performance of models on specific capabilities and industries
Artificial Analysis Finance & Accounting Index
Evaluations
[AA-Briefcase v1.1](https://artificialanalysis.ai/evaluations/aa-briefcase)Updated
Agentic knowledge work, (Elo-500)/2000
Knowledge
1 - hallucination rate
Agentic SaaS workflows
[GDPval-AA v2.1](https://artificialanalysis.ai/evaluations/gdpval-aa)Updated
Agentic real-world work tasks, (Elo-500)/2000
Reasoning & knowledge
Professional document reasoning, All-pass
Agentic coding & terminal use
Long context reasoning
SciCodeUnder review Coding
CritPtUnder review Physics reasoning
Agentic scientific research workflows in a terminal
Agentic software engineering in open-source repositories
Quantitative analysis on spreadsheets & documents
Harvey LAB-AA v1.1Updated Legal agentic work, Hallucination-Gated All-Pass Rate
Agentic business operations
Kubernetes incident root-cause analysis
Medical long context reasoning
Visual reasoning
AA-Briefcase v1.1Updated
AA-Briefcase Elo
AA-Omniscience
AA-Omniscience Index
Openness Index #
Artificial Analysis Openness Index: Score
Intelligence Index Comparisons #
Intelligence Index vs. Cost per Task
Token Use #
Output Tokens per Intelligence Index Task
Cost #
Cost per Intelligence Index Task
Cost to Run Artificial Analysis Intelligence Index
Pricing: Cache Hit, Input, and Output
Context Window #
Context Window
Speed #
Measured by Output Speed (tokens per second)
Output Speed
Time per Intelligence Index Task
Latency #
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time #
Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only) #
Model Size: Total and Active Parameters
Frequently Asked Questions #
Common questions about DeepSeek V4.1 Flash 1017 (Max)
DeepSeek V4.1 Flash 1017 (Max) was released on October 17, 2026.
DeepSeek V4.1 Flash 1017 (Max) was created by DeepSeek.
DeepSeek V4.1 Flash 1017 (Max) scores 45 on the Artificial Analysis Intelligence Index, placing it well above average among other open weight models of similar size (median: 19).
DeepSeek V4.1 Flash 1017 (Max) generates output at 230.4 tokens per second (based on DeepSeek's API), which is well above average compared to other open weight models of similar size (median: 77.9 t/s).
DeepSeek V4.1 Flash 1017 (Max) has a time to first token (TTFT) of 1.08s (based on DeepSeek's API), which is very competitive compared to other open weight models of similar size (median: 1.69s).
DeepSeek V4.1 Flash 1017 (Max) costs $0.30 per 1M input tokens (better than average, median: $0.43) and $1.20 per 1M output tokens (better than average, median: $1.68), based on DeepSeek's API.
DeepSeek V4.1 Flash 1017 (Max) costs $0.30 per 1M input tokens and $1.20 per 1M output tokens (based on DeepSeek's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.18 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, DeepSeek V4.1 Flash 1017 (Max) generated 210M output tokens, which is at the higher end compared to other open weight models of similar size (median: 140M).
Yes, DeepSeek V4.1 Flash 1017 (Max) is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
DeepSeek V4.1 Flash 1017 (Max) supports text and image input.
DeepSeek V4.1 Flash 1017 (Max) supports text output.
Yes, DeepSeek V4.1 Flash 1017 (Max) supports image input and can analyze, describe, and answer questions about images.
Yes, DeepSeek V4.1 Flash 1017 (Max) is multimodal. It can process text and image input and generate text output.
DeepSeek V4.1 Flash 1017 (Max) has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request.
Yes, DeepSeek V4.1 Flash 1017 (Max) is open weights. The model weights are publicly available and can be downloaded for self-hosting.
DeepSeek V4.1 Flash 1017 (Max) has 552 billion parameters (16 billion active). DeepSeek V4.1 Flash 1017 (Max) is a Mixture of Experts (MoE) model with 552 billion total parameters, but only 16 billion active parameters are used during inference.
DeepSeek V4.1 Flash 1017 (Max) is released under the MIT license. This license allows commercial use. View license
DeepSeek V4.1 Flash 1017 (Max) achieves a score of 45 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, DeepSeek V4.1 Flash 1017 (Max) is available via API through 5 providers. [Compare API providers](https://artificialanalysis.ai/models/deepseek-v4-1-flash-1017/providers)
DeepSeek V4.1 Flash 1017 (Max) is available through 5 API providers. [Compare providers](https://artificialanalysis.ai/models/deepseek-v4-1-flash-1017/providers)