DeepSeek v4.1 Flash 1017 Scores 45 in Artificial Analysis

DeepSeek V4.1 Flash 1017 (Max) scored 45 on the Artificial Analysis Intelligence Index, well above the median of 19 for comparable models, according to Artificial Analysis. The open-weight reasoning model has 552B total parameters with 16B active per token, a 1M-token context window, text and image input, and an MIT license, with weights on Hugging Face. Artificial Analysis priced it at $0.30 per 1M input tokens and $1.20 per 1M output tokens, an average of $0.26 per task, and measured output speed at 230 tokens per second, though it generated 210M tokens on the index versus a median of 140M.

DeepSeek V4.1 Flash 1017 Max Intelligence, Performance & Price Analysis 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 - $0.15–$1 per 1M tokens - $1 per 1M tokens Intelligence Artificial Analysis Intelligence Index https://artificialanalysis.ai/evaluations/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 https://artificialanalysis.ai/indexes/finance-and-accounting 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 SciCode https://artificialanalysis.ai/evaluations/scicode Under review Coding CritPt https://artificialanalysis.ai/evaluations/critpt Under 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 v1.1 https://artificialanalysis.ai/evaluations/harvey-lab-aa Updated 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 https://artificialanalysis.ai/models/deepseek-v4-1-flash-1017/providers 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 https://opensource.org/license/mit 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